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Beschreibung
Incorporating Knowledge Sources into Statistical Speech Recognition addresses the problem of developing efficient automatic speech recognition (ASR) systems, which maintain a balance between utilizing a wide knowledge of speech variability, while keeping the training / recognition effort feasible and improving speech recognition performance. The book provides an efficient general framework to incorporate additional knowledge sources into state-of-the-art statistical ASR systems. It can be applied to many existing ASR problems with their respective model-based likelihood functions in flexible ways.
Details
| Verlag | Springer US |
| Ersterscheinung | 05. November 2010 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 341 Gramm |
| Format | Softcover |
| ISBN-13 | 9781441946768 |
| Seiten | 196 |
Schlagwörter
Acoustics, Communications Engineering - Networks, Computer Communication Networks, Digitale Signalverarbeitung (DSP), Electrical and Electronic Engineering, Elektronik, Elektrotechnik, Nachrichtententechnik - Telekommunikation, Netzwerk-Hardware, Signal - Speech and Image Processing, Wellenmechanik (Vibration und Akustik)
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