Speech coding and joint data/channel bias estimation using finit

Details Speech coding and joint data/channel bias estimation using finit Speech coding and joint data/channel bias estimation using finit

1996-10-01

1998-07-07

Hudspeth, David R.

Data processing: speech signal processing, linguistics, language

Speech signal processing

For storage or transmission

704230, 704245, G10L 302, G10L 506

Patent

active

057783365

ABSTRACT:
A joint data (features) and channel (bias) estimation framework for robust processing of speech received over a channel is described. A trellis encoded vector quantizer is used as a pre-processor to estimate the channel bias using blind maximum likelihood sequence estimation. Sequential constraint in the feature vector sequence of a speech signal is applied for the selection of the quantized signal constellation and for the decoding process in joint data and channel estimation. A two state trellis encoded vector quantizer is designed for signal bias removal applications.

REFERENCES:
patent: 5664059 (1997-09-01), Zhao
Yunxin Zhao, "A New Speaker Adaptation Technique Using Very Short Calibration Speech", Proc. IEEE ICASSP 93, vol. II, pp. 562-565, Apr. 1993.
Yunxin Zhao, "An Acoustic-Phonetic-Based Speaker Adaptation Technique for Improving Speaker-Independent Continuous Speech Recognition," IEEE Trans. Speech and Audio Processing, vol. 2, No. 3, pp. 380-394, Jul. 1994.
Yunxin Zhao, "Iterative Self-Learning Speaker and Channel Adaptation Under Various Initial Condition," Proc. IEEE ICASSP 95, pp. 712-715, May 1995.
Wu Chou, Nambirajan Seshadri, and Mazin Rahim, "Trellis Encoded Vector Quantization for Robust Speech Recognition", Proceesings of the Fourth International Conference on Spoken Language Processing (ICSLP 96), pp. 2001-2004, Oct. 1996.

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