Data processing: speech signal processing – linguistics – language – Speech signal processing – For storage or transmission
Reexamination Certificate
2005-08-23
2005-08-23
Knepper, David D. (Department: 2654)
Data processing: speech signal processing, linguistics, language
Speech signal processing
For storage or transmission
Reexamination Certificate
active
06934678
ABSTRACT:
In a mobile wireless communication system automatic speech recognition is performed in a distributed manner using a mobile station based near or front end stage which extracts and vector quantizes recognition feature parameters from frames of an utterance and an infrastructure based back or far end stage which reverses the vector quantization to recover the feature parameters and subjects the feature parameters to a Hidden Markov Model (HMM) evaluation to obtain a recognition decision for the utterance. In order to conserve network capacity, the size (Sz) of the codebook used for the vector quantization, and the corresponding number of bits (B) per codebook index B, are adapted on a dialogue-by dialogue basis in relation to the vocabulary size |V| for the dialogue. The adaptation is performed at the front end, accomplishes a tradeoff between expected recognition rate RR and expected bitrate BR by optimizing a metric which is a function of both.
REFERENCES:
patent: 10190865 (1998-07-01), None
patent: 11112669 (1999-04-01), None
Gersho and Gray, Vector Quantization and Signal Compression, 1992, Kluwer Academic Publishers, pp. 309-316.
Etsi, “Speech Processing, Transmission and Quality aspects (STQ); Distributed speech recognition; Front-end feature extraction algorithm; Compression algorithms” ESTI ES201108 V1.1.2, Apr. 2000, pp. 1-20.
Halajian Dicran
Knepper David D.
Koninklijke Philips Electronics , N.V.
Slobod Jack D.
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