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Speech Recognition Using Broad Classes - Applications of Broad Class Knowledge for Noise Robust Speech Recognition - Sainath, Tara
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Sainath, Tara:
Speech Recognition Using Broad Classes - Applications of Broad Class Knowledge for Noise Robust Speech Recognition - Taschenbuch

2010, ISBN: 9783639279764

[ED: Taschenbuch / Paperback], [PU: VDM Verlag Dr. Müller], This work explores the use of speech knowledge for robust speech recognition by first describing the speech signal through a set of broad speech units, and then conducting a more detailed analysis from these broad units. These units are formed by grouping together parts of the acoustic signal that have similar temporal and spectral characteristics. This work first introduces a novel instantaneous adaptation technique to robustly detect broad classes (BCs) from the input signal using the Extended Baum-Welch (EBW) transformations. Recognition experiments indicate that the EBW method offers a 5% relative improvement compared to typical adaptation approaches. Next, we explore utilizing BC knowledge as a pre-processor for segment-based speech recognition systems. Recognition experiments indicate that utilizing BC knowledge as a pre- processor offers a 14% relative improvement over the baseline recognizer in noisy conditions. Finally, this thesis investigates using BC knowledge for island-driven search. Experiments indicate that the island-driven search strategy results in a 3% improvement in accuracy and also provides faster computation time., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 172, Selbstabholung und Barzahlung, PayPal, offene Rechnung, Banküberweisung, Interntationaler Versand

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Speech Recognition Using Broad Classes - Applications of Broad Class Knowledge for Noise Robust Speech Recognition - Sainath, Tara
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Sainath, Tara:
Speech Recognition Using Broad Classes - Applications of Broad Class Knowledge for Noise Robust Speech Recognition - Taschenbuch

2010, ISBN: 9783639279764

[ED: Taschenbuch / Paperback], [PU: VDM Verlag Dr. Müller], This work explores the use of speech knowledge for robust speech recognition by first describing the speech signal through a set of broad speech units, and then conducting a more detailed analysis from these broad units. These units are formed by grouping together parts of the acoustic signal that have similar temporal and spectral characteristics. This work first introduces a novel instantaneous adaptation technique to robustly detect broad classes (BCs) from the input signal using the Extended Baum-Welch (EBW) transformations. Recognition experiments indicate that the EBW method offers a 5% relative improvement compared to typical adaptation approaches. Next, we explore utilizing BC knowledge as a pre-processor for segment-based speech recognition systems. Recognition experiments indicate that utilizing BC knowledge as a pre- processor offers a 14% relative improvement over the baseline recognizer in noisy conditions. Finally, this thesis investigates using BC knowledge for island-driven search. Experiments indicate that the island-driven search strategy results in a 3% improvement in accuracy and also provides faster computation time., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 172, Selbstabholung und Barzahlung, PayPal, offene Rechnung, Banküberweisung, Internationaler Versand

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Speech Recognition Using Broad Classes - Tara Sainath
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Tara Sainath:
Speech Recognition Using Broad Classes - Taschenbuch

ISBN: 9783639279764

[ED: Taschenbuch], [PU: VDM Verlag], Neuware - This work explores the use of speech knowledge for robust speech recognition by first describing the speech signal through a set of broad speech units, and then conducting a more detailed analysis from these broad units. These units are formed by grouping together parts of the acoustic signal that have similar temporal and spectral characteristics. This work first introduces a novel instantaneous adaptation technique to robustly detect broad classes (BCs) from the input signal using the Extended Baum-Welch (EBW) transformations. Recognition experiments indicate that the EBW method offers a 5% relative improvement compared to typical adaptation approaches. Next, we explore utilizing BC knowledge as a pre-processor for segment-based speech recognition systems. Recognition experiments indicate that utilizing BC knowledge as a pre- processor offers a 14% relative improvement over the baseline recognizer in noisy conditions. Finally, this thesis investigates using BC knowledge for island-driven search. Experiments indicate that the island-driven search strategy results in a 3% improvement in accuracy and also provides faster computation time., [SC: 0.00], Neuware, gewerbliches Angebot, 220x150x10 mm, [GW: 272g]

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Speech Recognition Using Broad Classes als Buch von Tara Sainath - VDM Verlag
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Speech Recognition Using Broad Classes ab 67.99 EURO Applications of Broad Class Knowledge for Noise Robust Speech Recognition Speech Recognition Using Broad Classes ab 67.99 EURO Applications of Broad Class Knowledge for Noise Robust Speech Recognition Bücher > Wissenschaft > Technik, [PU: VDM Verlag Dr. Müller, Saarbrücken]

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Speech Recognition Using Broad Classes:Applications of Broad Class Knowledge for Noise Robust Speech Recognition Tara Sainath Speech Recognition Using Broad Classes:Applications of Broad Class Knowledge for Noise Robust Speech Recognition Tara Sainath Bücher > Wissenschaft > Technik, VDM Verlag

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Speech Recognition Using Broad Classes: Applications of Broad Class Knowledge for Noise Robust Speech Recognition

This work explores the use of speech knowledge for robust speech recognition by first describing the speech signal through a set of broad speech units, and then conducting a more detailed analysis from these broad units. These units are formed by grouping together parts of the acoustic signal that have similar temporal and spectral characteristics. This work first introduces a novel instantaneous adaptation technique to robustly detect broad classes (BCs) from the input signal using the Extended Baum-Welch (EBW) transformations. Recognition experiments indicate that the EBW method offers a 5% relative improvement compared to typical adaptation approaches. Next, we explore utilizing BC knowledge as a pre-processor for segment-based speech recognition systems. Recognition experiments indicate that utilizing BC knowledge as a pre- processor offers a 14% relative improvement over the baseline recognizer in noisy conditions. Finally, this thesis investigates using BC knowledge for island-driven search. Experiments indicate that the island-driven search strategy results in a 3% improvement in accuracy and also provides faster computation time.

Detailangaben zum Buch - Speech Recognition Using Broad Classes: Applications of Broad Class Knowledge for Noise Robust Speech Recognition


EAN (ISBN-13): 9783639279764
ISBN (ISBN-10): 363927976X
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2010
Herausgeber: VDM Verlag
172 Seiten
Gewicht: 0,272 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 21.09.2007 04:56:08
Buch zuletzt gefunden am 01.11.2017 09:00:43
ISBN/EAN: 9783639279764

ISBN - alternative Schreibweisen:
3-639-27976-X, 978-3-639-27976-4


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