A flat direct model for speech recognition

We introduce a direct model for speech recognition that assumes an unstructured, i.e., flat text output. The flat model allows us to model arbitrary attributes and dependences of the output. This is different from the HMMs typically used for speech recognition. This conventional modeling approach is...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Heigold, G., Zweig, G., Li, X., Nguyen, P.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Cellular phones Computer science Detectors Entropy Hidden Markov models language model maximum entropy Natural languages nearest neighbor Portals Speech recognition Testing Vocabulary voice search
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