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 se… Plus…

[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<

2010, ISBN: 9783639279764

[ED: Softcover], [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 spe… Plus…

[ED: Softcover], [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. 2010. 172 S. Versandfertig in 6-10 Tagen, DE, [SC: 0.00], Neuware, gewerbliches Angebot, Offene Rechnung (Vorkasse vorbehalten)<

ISBN: 9783639279764

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… Plus…

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. Bücher > Fremdsprachige Bücher > Englische Bücher 220 x 150 x 10 mm , VDM, Tara Sainath, VDM, aina<

ISBN: 9783639279764

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 Applica… Plus…

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]<

ISBN: 9783639279764

Speech Recognition Using Broad Classes ab 67.99 EURO Applications of Broad Class Knowledge for Noise Robust Speech Recognition Medien > Bücher, VDM Verlag