Description

The course focuses on experimental investigations of speech processes. Topics include: measurement of articulatory movements, measurements of pressures and airflows in speech production, computer-aided waveform analysis and spectral analysis of speech, synthesis of speech, perception and discrimination of speechlike sounds, speech prosody, models for speech recognition, speech disorders, and other topics. Two 1-hour lectures per week Two labs per week Brief lab reports Term project, with short term paper No exams The course focuses on experimental investigations of speech processes. Topics include: measurement of articulatory movements, measurements of pressures and airflows in speech production, computer-aided waveform analysis and spectral analysis of speech, synthesis of speech, perception and discrimination of speechlike sounds, speech prosody, models for speech recognition, speech disorders, and other topics. Two 1-hour lectures per week Two labs per week Brief lab reports Term project, with short term paper No exams

Subjects

Speech | Speech | speech disorders | speech disorders | speech recognition | speech recognition | speech prosody | speech prosody | waveform analysis | waveform analysis | spectral analysis | spectral analysis | 6.542 | 6.542 | 24.966 | 24.966 | HST.712 | HST.712 | Experimental investigations of speech processes | Experimental investigations of speech processes | Topics: measurement of articulatory movements | Topics: measurement of articulatory movements | measurements of pressures and airflows in speech production | measurements of pressures and airflows in speech production | computer-aided waveform analysis and spectral analysis of speech | computer-aided waveform analysis and spectral analysis of speech | synthesis of speech | synthesis of speech | perception and discrimination of speechlike sounds | perception and discrimination of speechlike sounds | models for speech recognition | models for speech recognition | and other topics | and other topics | other topics | other topics

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Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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This course is the first subject in the Environmental Policy and Planning sequence. It reviews philosophical debates including growth vs. deep ecology, "command-and-control" vs. market-oriented approaches to regulation, and the importance of expertise vs. indigenous knowledge. Its emphasis is placed on environmental planning techniques and strategies. Related topics include the management of sustainability, the politics of ecosystem management, environmental governance and the changing role of civil society, ecological economics, integrated assessment (combining environmental impact assessment (EIA) and risk assessment), joint fact finding in science-intensive policy disputes, environmental justice in poor communities of color, and environmental dispute resolution. This course is the first subject in the Environmental Policy and Planning sequence. It reviews philosophical debates including growth vs. deep ecology, "command-and-control" vs. market-oriented approaches to regulation, and the importance of expertise vs. indigenous knowledge. Its emphasis is placed on environmental planning techniques and strategies. Related topics include the management of sustainability, the politics of ecosystem management, environmental governance and the changing role of civil society, ecological economics, integrated assessment (combining environmental impact assessment (EIA) and risk assessment), joint fact finding in science-intensive policy disputes, environmental justice in poor communities of color, and environmental dispute resolution.

Subjects

Experimental investigations of speech processes. Topics: measurement of articulatory movements | Experimental investigations of speech processes. Topics: measurement of articulatory movements | measurements of pressures and airflows in speech production | measurements of pressures and airflows in speech production | computer-aided waveform analysis and spectral analysis of speech | computer-aided waveform analysis and spectral analysis of speech | synthesis of speech | synthesis of speech | perception and discrimination of speechlike sounds | perception and discrimination of speechlike sounds | speech prosody | speech prosody | models for speech recognition | models for speech recognition | speech disorders | speech disorders | other topics | other topics | environment | environment | environmental planning | environmental planning | environmental policy | environmental policy | ethics | ethics | land use planning | land use planning | environmental management | environmental management | growth | growth | scarcity | scarcity | command and control | command and control | market forces | market forces | utilitarianism | utilitarianism | deep ecology | deep ecology | expert knowledge | expert knowledge | indigeneous knowledge | indigeneous knowledge | land conservation | land conservation | sustainable design | sustainable design | growth management | growth management | hazard mitigation | hazard mitigation | ecosystem management | ecosystem management | geospatial data | geospatial data | stormwater management | stormwater management | runoff pollution | runoff pollution | landscape ecology | landscape ecology | biodiversity | biodiversity | integrated assessment | integrated assessment | professional practice | professional practice

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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6.541J surveys the structural properties of natural languages, with special emphasis on the sound pattern. Topics covered include: representation of the lexicon; physiology of speech production; articulatory phonetics; acoustical theory of speech production; acoustical and articulatory descriptions of phonetic features and of prosodic aspects of speech; perception of speech; models of lexical access and of speech production and planning; and applications to recognition and generation of speech by machine, and to the study of speech disorders. 6.541J surveys the structural properties of natural languages, with special emphasis on the sound pattern. Topics covered include: representation of the lexicon; physiology of speech production; articulatory phonetics; acoustical theory of speech production; acoustical and articulatory descriptions of phonetic features and of prosodic aspects of speech; perception of speech; models of lexical access and of speech production and planning; and applications to recognition and generation of speech by machine, and to the study of speech disorders.

Subjects

speech communication | speech communication | natural languages | natural languages | sound patterns | sound patterns | lexicons | lexicons | speech production | speech production | articulatory phonetics | articulatory phonetics | acoustical theory | acoustical theory | phonetic features | phonetic features | prosodic aspects of speech | prosodic aspects of speech | lexical access | lexical access | speech recognition | speech recognition | speech generation | speech generation | speech disorders | speech disorders | 6.541 | 6.541 | 24.968 | 24.968 | HST.710 | HST.710

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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The course focuses on experimental investigations of speech processes. Topics include: measurement of articulatory movements, measurements of pressures and airflows in speech production, computer-aided waveform analysis and spectral analysis of speech, synthesis of speech, perception and discrimination of speechlike sounds, speech prosody, models for speech recognition, speech disorders, and other topics. Two 1-hour lectures per week Two labs per week Brief lab reports Term project, with short term paper No exams

Subjects

Speech | speech disorders | speech recognition | speech prosody | waveform analysis | spectral analysis | 6.542 | 24.966 | HST.712 | Experimental investigations of speech processes | Topics: measurement of articulatory movements | measurements of pressures and airflows in speech production | computer-aided waveform analysis and spectral analysis of speech | synthesis of speech | perception and discrimination of speechlike sounds | models for speech recognition | and other topics | other topics

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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The course focuses on experimental investigations of speech processes. Topics include: measurement of articulatory movements, measurements of pressures and airflows in speech production, computer-aided waveform analysis and spectral analysis of speech, synthesis of speech, perception and discrimination of speechlike sounds, speech prosody, models for speech recognition, speech disorders, and other topics. Two 1-hour lectures per week Two labs per week Brief lab reports Term project, with short term paper No exams

Subjects

Speech | speech disorders | speech recognition | speech prosody | waveform analysis | spectral analysis | 6.542 | 24.966 | HST.712 | Experimental investigations of speech processes | Topics: measurement of articulatory movements | measurements of pressures and airflows in speech production | computer-aided waveform analysis and spectral analysis of speech | synthesis of speech | perception and discrimination of speechlike sounds | models for speech recognition | and other topics | other topics

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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The course focuses on experimental investigations of speech processes. Topics include: measurement of articulatory movements, measurements of pressures and airflows in speech production, computer-aided waveform analysis and spectral analysis of speech, synthesis of speech, perception and discrimination of speechlike sounds, speech prosody, models for speech recognition, speech disorders, and other topics. Two 1-hour lectures per week Two labs per week Brief lab reports Term project, with short term paper No exams

Subjects

Speech | speech disorders | speech recognition | speech prosody | waveform analysis | spectral analysis | 6.542 | 24.966 | HST.712 | Experimental investigations of speech processes | Topics: measurement of articulatory movements | measurements of pressures and airflows in speech production | computer-aided waveform analysis and spectral analysis of speech | synthesis of speech | perception and discrimination of speechlike sounds | models for speech recognition | and other topics | other topics

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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Includes audio/video content: AV special element audio. 6.345 introduces students to the rapidly developing field of automatic speech recognition. Its content is divided into three parts. Part I deals with background material in the acoustic theory of speech production, acoustic-phonetics, and signal representation. Part II describes algorithmic aspects of speech recognition systems including pattern classification, search algorithms, stochastic modelling, and language modelling techniques. Part III compares and contrasts the various approaches to speech recognition, and describes advanced techniques used for acoustic-phonetic modelling, robust speech recognition, speaker adaptation, processing paralinguistic information, speech understanding, and multimodal processing. Includes audio/video content: AV special element audio. 6.345 introduces students to the rapidly developing field of automatic speech recognition. Its content is divided into three parts. Part I deals with background material in the acoustic theory of speech production, acoustic-phonetics, and signal representation. Part II describes algorithmic aspects of speech recognition systems including pattern classification, search algorithms, stochastic modelling, and language modelling techniques. Part III compares and contrasts the various approaches to speech recognition, and describes advanced techniques used for acoustic-phonetic modelling, robust speech recognition, speaker adaptation, processing paralinguistic information, speech understanding, and multimodal processing.

Subjects

speech recognition | speech recognition | automatic speech recognition | automatic speech recognition | acoustic theory | acoustic theory | speech production | speech production | acoustic-phonetics | acoustic-phonetics | signal representation | signal representation | pattern classification | pattern classification | search algorithms | search algorithms | stochastic modelling | stochastic modelling | language modelling | language modelling | speaker adaptation | speaker adaptation | paralinguistic information | paralinguistic information | speech understanding | speech understanding | multimodal processing | multimodal processing

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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The Acoustics of Speech and Hearing is an H-Level graduate course that reviews the physical processes involved in the production, propagation and reception of human speech. Particular attention is paid to how the acoustics and mechanics of the speech and auditory system define what sounds we are capable of producing and what sounds we can sense. Areas of discussion include: the acoustic cues used in determining the direction of a sound source, the acoustic and mechanical mechanisms involved in speech production and the acoustic and mechanical mechanism used to transduce and analyze sounds in the ear. The Acoustics of Speech and Hearing is an H-Level graduate course that reviews the physical processes involved in the production, propagation and reception of human speech. Particular attention is paid to how the acoustics and mechanics of the speech and auditory system define what sounds we are capable of producing and what sounds we can sense. Areas of discussion include: the acoustic cues used in determining the direction of a sound source, the acoustic and mechanical mechanisms involved in speech production and the acoustic and mechanical mechanism used to transduce and analyze sounds in the ear.

Subjects

HST.714 | HST.714 | sound | sound | speech communication | speech communication | human anatomy | human anatomy | speech production | speech production | sound production | sound production | airflow | airflow | filtering | filtering | vocal tract | vocal tract | auditory physiology | auditory physiology | acoustical waves | acoustical waves | mechanical vibrations | mechanical vibrations | cochlear structures | cochlear structures | sound perception | sound perception | spatial hearing | spatial hearing | masking | masking | auditory frequency selectivity | auditory frequency selectivity | physical processes | physical processes | sound propagation | sound propagation | human speech | human speech | acoustics | acoustics | speech mechanics | speech mechanics | auditory system | auditory system | sound direction | sound direction | ear | ear | 6.551 | 6.551

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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This course is the first subject in the Environmental Policy and Planning sequence. It reviews philosophical debates including growth vs. deep ecology, "command-and-control" vs. market-oriented approaches to regulation, and the importance of expertise vs. indigenous knowledge. Its emphasis is placed on environmental planning techniques and strategies. Related topics include the management of sustainability, the politics of ecosystem management, environmental governance and the changing role of civil society, ecological economics, integrated assessment (combining environmental impact assessment (EIA) and risk assessment), joint fact finding in science-intensive policy disputes, environmental justice in poor communities of color, and environmental dispute resolution.

Subjects

Experimental investigations of speech processes. Topics: measurement of articulatory movements | measurements of pressures and airflows in speech production | computer-aided waveform analysis and spectral analysis of speech | synthesis of speech | perception and discrimination of speechlike sounds | speech prosody | models for speech recognition | speech disorders | other topics | environment | environmental planning | environmental policy | ethics | land use planning | environmental management | growth | scarcity | command and control | market forces | utilitarianism | deep ecology | expert knowledge | indigeneous knowledge | land conservation | sustainable design | growth management | hazard mitigation | ecosystem management | geospatial data | stormwater management | runoff pollution | landscape ecology | biodiversity | integrated assessment | professional practice

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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The course focuses on experimental investigations of speech processes. Topics: measurement of articulatory movements; measurements of pressures and airflows in speech production; computer-aided waveform analysis and spectral analysis of speech; synthesis of speech; perception and discrimination of speechlike sounds; speech prosody; models for speech recognition; speech disorders; and other topics.2 1-hour lectures per week2 labs per weekbrief lab reportsterm project, with short term paperno examsTechnical RequirementsMedia player software, such as QuickTime® Player, RealOne™ Player, or Windows Media® Player, is required to run the .wav files found on this course site. RealOne™ Player software is required to run the .ram files found on this course site. M The course focuses on experimental investigations of speech processes. Topics: measurement of articulatory movements; measurements of pressures and airflows in speech production; computer-aided waveform analysis and spectral analysis of speech; synthesis of speech; perception and discrimination of speechlike sounds; speech prosody; models for speech recognition; speech disorders; and other topics.2 1-hour lectures per week2 labs per weekbrief lab reportsterm project, with short term paperno examsTechnical RequirementsMedia player software, such as QuickTime® Player, RealOne™ Player, or Windows Media® Player, is required to run the .wav files found on this course site. RealOne™ Player software is required to run the .ram files found on this course site. M

Subjects

Speech | Speech | speech disorders | speech disorders | speech recognition | speech recognition | speech prosody | speech prosody | waveform analysis | waveform analysis | spectral analysis | spectral analysis | 6.542 | 6.542 | 24.966 | 24.966 | HST.712 | HST.712

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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This course is a graduate introduction to natural language processing - the study of human language from a computational perspective. It covers syntactic, semantic and discourse processing models, emphasizing machine learning or corpus-based methods and algorithms. It also covers applications of these methods and models in syntactic parsing, information extraction, statistical machine translation, dialogue systems, and summarization. The subject qualifies as an Artificial Intelligence and Applications concentration subject. This course is a graduate introduction to natural language processing - the study of human language from a computational perspective. It covers syntactic, semantic and discourse processing models, emphasizing machine learning or corpus-based methods and algorithms. It also covers applications of these methods and models in syntactic parsing, information extraction, statistical machine translation, dialogue systems, and summarization. The subject qualifies as an Artificial Intelligence and Applications concentration subject.

Subjects

NLP | NLP | voice processing | voice processing | voice response | voice response | speech recognition | speech recognition | linguistics | linguistics | translation | translation | machine learning | machine learning | speech processing | speech processing | parsing | parsing | syntax | syntax | language model | language model | dialogue | dialogue | comprehension | comprehension | understanding | understanding | lexicon | lexicon | lexical | lexical | text processing | text processing | speech generation | speech generation

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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This class explores interaction with mobile computing systems and telephones by voice, including speech synthesis, recognition, digital recording, and browsing recorded speech. Emphasis on human interface design issues and interaction techniques appropriate for cognitive requirements of speech. Topics include human speech production and perception, speech recognition and text-to-speech algorithms, telephone networks, and spatial and time-compressed listening. Extensive reading from current research literature. This class explores interaction with mobile computing systems and telephones by voice, including speech synthesis, recognition, digital recording, and browsing recorded speech. Emphasis on human interface design issues and interaction techniques appropriate for cognitive requirements of speech. Topics include human speech production and perception, speech recognition and text-to-speech algorithms, telephone networks, and spatial and time-compressed listening. Extensive reading from current research literature.

Subjects

digital voice | digital voice | voice synthesis | voice synthesis | speech synthesis | speech synthesis | digital speech | digital speech | audio | audio | coding | coding | noise | noise | comprehension | comprehension | audio browsing | audio browsing | voice messaging | voice messaging | voice recognition | voice recognition | call center | call center | voice response | voice response | computer voice | computer voice | computer speech | computer speech | telephony | telephony | mobile applications | mobile applications | voicemail | voicemail

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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6.541J surveys the structural properties of natural languages, with special emphasis on the sound pattern. Topics covered include: representation of the lexicon; physiology of speech production; articulatory phonetics; acoustical theory of speech production; acoustical and articulatory descriptions of phonetic features and of prosodic aspects of speech; perception of speech; models of lexical access and of speech production and planning; and applications to recognition and generation of speech by machine, and to the study of speech disorders.

Subjects

speech communication | natural languages | sound patterns | lexicons | speech production | articulatory phonetics | acoustical theory | phonetic features | prosodic aspects of speech | lexical access | speech recognition | speech generation | speech disorders | 6.541 | 24.968 | HST.710

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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Professor Timothy Garton Ash (Director of Free Speech Debate) interviews Jimmy Wales (Founder of Wikipedia) on the topic of global free speech and the internet. This was the launch event of Free Speech Debate and took place in Oxford on 19 Jan 2012. Wales; http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

Subjects

wiki | information | freespeechdebate | freedom | discussion | internet | wikipedia | free | speech | community | online | images | politics | debate | wiki | information | freespeechdebate | freedom | discussion | internet | wikipedia | free | speech | community | online | images | politics | debate | 2012-01-19

License

http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

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Professor Timothy Garton Ash (Director of Free Speech Debate) interviews Jimmy Wales (Founder of Wikipedia) on the topic of global free speech and the internet. This was the launch event of Free Speech Debate and took place in Oxford on 19 Jan 2012. Wales; http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

Subjects

wiki | information | freespeechdebate | freedom | discussion | internet | wikipedia | free | speech | community | online | images | politics | debate | wiki | information | freespeechdebate | freedom | discussion | internet | wikipedia | free | speech | community | online | images | politics | debate | 2012-01-19

License

http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

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This Geddes lecture, marking the 30th anniversary of Philip Geddes' death in the Harrods bombing is by the Rt Hon the Lord Patten of Barnes CH, the Chancellor of the University of Oxford and Chairman of the BBC Trust. This Geddes lecture, marking the 30th anniversary of Philip Geddes' death in the Harrods bombing is by the Rt Hon the Lord Patten of Barnes CH, the Chancellor of the University of Oxford and Chairman of the BBC Trust.

Subjects

media | media | journalism | journalism | communications | communications | broadcasting | broadcasting | freedom of speech | freedom of speech | press | press | media | journalism | communications | broadcasting | freedom of speech | press | 2013-02-15 | media | journalism | communications | broadcasting | freedom of speech | press | 2013-02-15

License

http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

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Includes audio/video content: AV special element audio. This course is a study of speech sounds: how we produce and perceive them and their acoustic properties. It explores the influence of the production and perception systems on phonological patterns and sound change. Acoustic analysis and experimental techniques are also discussed. Includes audio/video content: AV special element audio. This course is a study of speech sounds: how we produce and perceive them and their acoustic properties. It explores the influence of the production and perception systems on phonological patterns and sound change. Acoustic analysis and experimental techniques are also discussed.

Subjects

phonetics | phonetics | acoustics | acoustics | audition | audition | A/D conversion | A/D conversion | grammars | grammars | source-filter theory | source-filter theory | spectral analysis | spectral analysis | adaptive dispersion | adaptive dispersion | quantal theory | quantal theory | fricatives | fricatives | stops | stops | statistics | statistics | speech perception | speech perception | sounds | sounds | nasals | nasals | laterals | laterals | coarticulation | coarticulation | speech production | speech production | timing | timing | coordination | coordination | variability | variability

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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This course presents a tutorial on the ToBI (Tones and Break Indices) system, for labelling certain aspects of prosody in Mainstream American English (MAE-ToBI). The course is appropriate for undergrad or grad students with background in linguistics (phonology or phonetics), cognitive psychology (psycholinguistics), speech acoustics or music, who wish to learn about the prosody of speech, i.e. the intonation, rhythm, grouping and prominence patterns of spoken utterances, prosodic differences that signal meaning and phonetic implementation. This course presents a tutorial on the ToBI (Tones and Break Indices) system, for labelling certain aspects of prosody in Mainstream American English (MAE-ToBI). The course is appropriate for undergrad or grad students with background in linguistics (phonology or phonetics), cognitive psychology (psycholinguistics), speech acoustics or music, who wish to learn about the prosody of speech, i.e. the intonation, rhythm, grouping and prominence patterns of spoken utterances, prosodic differences that signal meaning and phonetic implementation.

Subjects

ToBI system | ToBI system | Tones and Break Indices | Tones and Break Indices | prosodic structure | prosodic structure | spoken utterances | spoken utterances | American English | American English | ToBI tutorial | ToBI tutorial | labelling | labelling | sample utterances | sample utterances | linguistics | linguistics | phonology | phonology | phonetics | phonetics | cognitive psychology | cognitive psychology | psycholinguistics | psycholinguistics | speech acoustics or music | speech acoustics or music | prosody of speech | prosody of speech | intonation | intonation | rhythm | rhythm | grouping | grouping | prosodic differences | prosodic differences | phonetic implementation | phonetic implementation

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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This course will focus on issues that arise in contemporary public debate concerning matters of social justice. Topics will likely include: euthanasia, gay marriage, racism and racial profiling, free speech, hunger and global inequality. Students will be exposed to multiple points of view on the topics and will be given guidance in analyzing the moral frameworks informing opposing positions. The goal will be to provide the basis for respectful and informed discussion of matters of common moral concern. This course will focus on issues that arise in contemporary public debate concerning matters of social justice. Topics will likely include: euthanasia, gay marriage, racism and racial profiling, free speech, hunger and global inequality. Students will be exposed to multiple points of view on the topics and will be given guidance in analyzing the moral frameworks informing opposing positions. The goal will be to provide the basis for respectful and informed discussion of matters of common moral concern.

Subjects

pleasure | pleasure | desire | desire | satisfaction | satisfaction | objectivity | objectivity | environmentalism | environmentalism | animal rights | animal rights | immortality | immortality | egoism | egoism | skepticism | skepticism | relativism | relativism | toleration | toleration | utilitarianism | utilitarianism | deontology | deontology | virtue | virtue | moral theory | moral theory | global justice | global justice | equality | equality | social justice | social justice | race | race | gender | gender | poverty | poverty | sex | sex | welfare | welfare | freedom | freedom | death penalty | death penalty | gay marriage | gay marriage | sexuality | sexuality | pornography | pornography | free speech | free speech | hate speech | hate speech

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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This course presents the fundamentals of digital signal processing with particular emphasis on problems in biomedical research and clinical medicine. It covers principles and algorithms for processing both deterministic and random signals. Topics include data acquisition, imaging, filtering, coding, feature extraction, and modeling. The focus of the course is a series of labs that provide practical experience in processing physiological data, with examples from cardiology, speech processing, and medical imaging. The labs are done in MATLAB® during weekly lab sessions that take place in an electronic classroom. Lectures cover signal processing topics relevant to the lab exercises, as well as background on the biological signals processed in the labs. This course presents the fundamentals of digital signal processing with particular emphasis on problems in biomedical research and clinical medicine. It covers principles and algorithms for processing both deterministic and random signals. Topics include data acquisition, imaging, filtering, coding, feature extraction, and modeling. The focus of the course is a series of labs that provide practical experience in processing physiological data, with examples from cardiology, speech processing, and medical imaging. The labs are done in MATLAB® during weekly lab sessions that take place in an electronic classroom. Lectures cover signal processing topics relevant to the lab exercises, as well as background on the biological signals processed in the labs.

Subjects

HST.582 | HST.582 | 6.555 | 6.555 | 16.456 | 16.456 | signal processing | signal processing | medicine | medicine | biological signal | biological signal | diagnosis | diagnosis | diagnostic tool | diagnostic tool | physiology | physiology | cardiology | cardiology | speech recognition | speech recognition | speech processing | speech processing | imaging | imaging | medical imaging | medical imaging | MRI | MRI | ultrasound | ultrasound | ECG | ECG | electrocardiogram | electrocardiogram | fourier | fourier | FFT | FFT | applications of probabilitym | applications of probabilitym | noise | noise | MATLAB | MATLAB | digital filter | digital filter | DSP | DSP

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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An advanced course covering anatomical, physiological, behavioral, and computational studies of the central nervous system relevant to speech and hearing. Students learn primarily by discussions of scientific papers on topics of current interest. Recent topics include cell types and neural circuits in the auditory brainstem, organization and processing in the auditory cortex, auditory reflexes and descending systems, functional imaging of the human auditory system, quantitative methods for relating neural responses to behavior, speech motor control, cortical representation of language, and auditory learning in songbirds. An advanced course covering anatomical, physiological, behavioral, and computational studies of the central nervous system relevant to speech and hearing. Students learn primarily by discussions of scientific papers on topics of current interest. Recent topics include cell types and neural circuits in the auditory brainstem, organization and processing in the auditory cortex, auditory reflexes and descending systems, functional imaging of the human auditory system, quantitative methods for relating neural responses to behavior, speech motor control, cortical representation of language, and auditory learning in songbirds.

Subjects

HST.722 | HST.722 | 9.044 | 9.044 | separation operations | separation operations | recovery of products from biological processes | recovery of products from biological processes | membrane filtration | membrane filtration | chromatography | chromatography | centrifugation | centrifugation | cell disruption | cell disruption | extraction | extraction | process design | process design | downstream processing | downstream processing | biochemical product recovery | biochemical product recovery | modes of recovery and purification | modes of recovery and purification | biochemical engineering | biochemical engineering | hearing | hearing | speech | speech | auditory brainstem | auditory brainstem | auditory cortex | auditory cortex | auditory reflexes | auditory reflexes | descending systems | descending systems | human auditory system | human auditory system | speech motor control | speech motor control | auditory learning | auditory learning | cortical representation | cortical representation | dorsal cochlear nucleus | dorsal cochlear nucleus | neural coding | neural coding | thalamo-cortical organization | thalamo-cortical organization | thalamo-cortical processing | thalamo-cortical processing | audio-visual integration | audio-visual integration

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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6.345 introduces students to the rapidly developing field of automatic speech recognition. Its content is divided into three parts. Part I deals with background material in the acoustic theory of speech production, acoustic-phonetics, and signal representation. Part II describes algorithmic aspects of speech recognition systems including pattern classification, search algorithms, stochastic modelling, and language modelling techniques. Part III compares and contrasts the various approaches to speech recognition, and describes advanced techniques used for acoustic-phonetic modelling, robust speech recognition, speaker adaptation, processing paralinguistic information, speech understanding, and multimodal processing.

Subjects

speech recognition | automatic speech recognition | acoustic theory | speech production | acoustic-phonetics | signal representation | pattern classification | search algorithms | stochastic modelling | language modelling | speaker adaptation | paralinguistic information | speech understanding | multimodal processing

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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6.345 introduces students to the rapidly developing field of automatic speech recognition. Its content is divided into three parts. Part I deals with background material in the acoustic theory of speech production, acoustic-phonetics, and signal representation. Part II describes algorithmic aspects of speech recognition systems including pattern classification, search algorithms, stochastic modelling, and language modelling techniques. Part III compares and contrasts the various approaches to speech recognition, and describes advanced techniques used for acoustic-phonetic modelling, robust speech recognition, speaker adaptation, processing paralinguistic information, speech understanding, and multimodal processing.

Subjects

speech recognition | automatic speech recognition | acoustic theory | speech production | acoustic-phonetics | signal representation | pattern classification | search algorithms | stochastic modelling | language modelling | speaker adaptation | paralinguistic information | speech understanding | multimodal processing

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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6.345 introduces students to the rapidly developing field of automatic speech recognition. Its content is divided into three parts. Part I deals with background material in the acoustic theory of speech production, acoustic-phonetics, and signal representation. Part II describes algorithmic aspects of speech recognition systems including pattern classification, search algorithms, stochastic modelling, and language modelling techniques. Part III compares and contrasts the various approaches to speech recognition, and describes advanced techniques used for acoustic-phonetic modelling, robust speech recognition, speaker adaptation, processing paralinguistic information, speech understanding, and multimodal processing.

Subjects

speech recognition | automatic speech recognition | acoustic theory | speech production | acoustic-phonetics | signal representation | pattern classification | search algorithms | stochastic modelling | language modelling | speaker adaptation | paralinguistic information | speech understanding | multimodal processing

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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The Acoustics of Speech and Hearing is an H-Level graduate course that reviews the physical processes involved in the production, propagation and reception of human speech. Particular attention is paid to how the acoustics and mechanics of the speech and auditory system define what sounds we are capable of producing and what sounds we can sense. Areas of discussion include: the acoustic cues used in determining the direction of a sound source, the acoustic and mechanical mechanisms involved in speech production and the acoustic and mechanical mechanism used to transduce and analyze sounds in the ear.

Subjects

HST.714 | sound | speech communication | human anatomy | speech production | sound production | airflow | filtering | vocal tract | auditory physiology | acoustical waves | mechanical vibrations | cochlear structures | sound perception | spatial hearing | masking | auditory frequency selectivity | physical processes | sound propagation | human speech | acoustics | speech mechanics | auditory system | sound direction | ear | 6.551

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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