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Information mining from speech signal: Extracting potentially useful or interesting information automatically or semi-automatically from speech data. - Softcover
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Mining information from speech signal as the ultimate goal of data mining is concernedwith science, technology, and engineering of discovering patterns and extracting potentiallyuseful or interesting information automatically or semi-automatically from speech data. With theadvent of inexpensive storage space and faster processing over the past decade, data miningresearch start to penetrate these new grounds in the areas of speech and audio processing. A typicalspeech can be broadly defined as speech with emotional content, speech affected by alcohol anddrugs speech from speakers with disabilities, and various kinds of pathological speech. Individualspeech can vary because of different timing and amplitude of the movement of speecharticulators. Physical mechanism of speech undergoes changes; which can affect the nasal cavityresonance and mode of vibration of the vocal cords. A series of environmental variables likebackground noise, reverberation and recording condition have also to be taken into account. Inessence every speech production is unique and this uniqueness makes the automatic speechprocessing quite difficult.
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Information mining from speech signal
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LAP LAMBERT Academic Publishing Sep 2020, 2020
ISBN 10: 6202814837
ISBN 13: 9786202814836
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Mining information from speech signal as the ultimate goal of data mining is concernedwith science, technology, and engineering of discovering patterns and extracting potentiallyuseful or interesting information automatically or semi-automatically from speech data. With theadvent of inexpensive storage space and faster processing over the past decade, data miningresearch start to penetrate these new grounds in the areas of speech and audio processing. A typicalspeech can be broadly defined as speech with emotional content, speech affected by alcohol anddrugs speech from speakers with disabilities, and various kinds of pathological speech. Individualspeech can vary because of different timing and amplitude of the movement of speecharticulators. Physical mechanism of speech undergoes changes; which can affect the nasal cavityresonance and mode of vibration of the vocal cords. A series of environmental variables likebackground noise, reverberation and recording condition have also to be taken into account. Inessence every speech production is unique and this uniqueness makes the automatic speechprocessing quite difficult. 60 pp. Englisch. Seller Inventory # 9786202814836
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Information mining from speech signal : Extracting potentially useful or interesting information automatically or semi-automatically from speech data.
Published by
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202814837
ISBN 13: 9786202814836
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Mining information from speech signal as the ultimate goal of data mining is concernedwith science, technology, and engineering of discovering patterns and extracting potentiallyuseful or interesting information automatically or semi-automatically from speech data. With theadvent of inexpensive storage space and faster processing over the past decade, data miningresearch start to penetrate these new grounds in the areas of speech and audio processing. A typicalspeech can be broadly defined as speech with emotional content, speech affected by alcohol anddrugs speech from speakers with disabilities, and various kinds of pathological speech. Individualspeech can vary because of different timing and amplitude of the movement of speecharticulators. Physical mechanism of speech undergoes changes; which can affect the nasal cavityresonance and mode of vibration of the vocal cords. A series of environmental variables likebackground noise, reverberation and recording condition have also to be taken into account. Inessence every speech production is unique and this uniqueness makes the automatic speechprocessing quite difficult. Seller Inventory # 9786202814836
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Information mining from speech signal
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LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202814837
ISBN 13: 9786202814836
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Jadhav Dr. JagannathHe is the renowned global research and Scientist having 3 Patents. He is an Academician, researcher, author, writer, inventor and innovator, Scientist (Consultant and speaker). Six year s experience working as ass. Seller Inventory # 493801917
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Information mining from speech signal: Extracting potentially useful or interesting information automatically or semi-automatically from speech data.
Published by
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202814837
ISBN 13: 9786202814836
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Information mining from speech signal: Extracting potentially useful or interesting information automatically or semi-automatically from speech data.
Published by
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202814837
ISBN 13: 9786202814836
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Information mining from speech signal: Extracting potentially useful or interesting information automatically or semi-automatically from speech data.
Published by
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202814837
ISBN 13: 9786202814836
New
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Information mining from speech signal
Published by
LAP LAMBERT Academic Publishing Sep 2020, 2020
ISBN 10: 6202814837
ISBN 13: 9786202814836
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Taschenbuch. Condition: Neu. Neuware -Mining information from speech signal as the ultimate goal of data mining is concernedwith science, technology, and engineering of discovering patterns and extracting potentiallyuseful or interesting information automatically or semi-automatically from speech data. With theadvent of inexpensive storage space and faster processing over the past decade, data miningresearch start to penetrate these new grounds in the areas of speech and audio processing. A typicalspeech can be broadly defined as speech with emotional content, speech affected by alcohol anddrugs speech from speakers with disabilities, and various kinds of pathological speech. Individualspeech can vary because of different timing and amplitude of the movement of speecharticulators. Physical mechanism of speech undergoes changes; which can affect the nasal cavityresonance and mode of vibration of the vocal cords. A series of environmental variables likebackground noise, reverberation and recording condition have also to be taken into account. Inessence every speech production is unique and this uniqueness makes the automatic speechprocessing quite difficult.Books on Demand GmbH, Überseering 33, 22297 Hamburg 60 pp. Englisch. Seller Inventory # 9786202814836
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