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A bitstream-based front-end for wireless speech recognition on IS-136 communications system

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2 Author(s)
Hong Kook Kim ; AT&T Labs.-Res., Florham Park, NJ, USA ; Cox, R.V.

We propose a feature extraction method for a speech recognizer that operates in digital communication networks. The feature parameters are basically extracted by converting the quantized spectral information of a speech coder into a cepstrum. We also include the voiced/unvoiced information obtained from the bitstream of the speech coder in the recognition feature set. We performed speaker-independent connected digit HMM recognition experiments under clean, background noise, and channel impairment conditions. From these results, we found that the speech recognition system employing the proposed bitstream-based front-end gives superior word and string accuracies over a recognizer constructed from decoded speech signals. Its performance is comparable to that of a wireline recognition system that uses the cepstrum as a feature set. Next, we extended the evaluation of the proposed bitstream-based front-end to large vocabulary speech recognition with a name database. The recognition results proved that the proposed bitstream-based front-end also gives a comparable performance to the conventional wireline front-end

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Speech and Audio Processing, IEEE Transactions on  (Volume:9 ,  Issue: 5 )