Data processing: speech signal processing – linguistics – language – Speech signal processing – For storage or transmission
Reexamination Certificate
2006-12-12
2006-12-12
Lerner, Martin (Department: 2626)
Data processing: speech signal processing, linguistics, language
Speech signal processing
For storage or transmission
C704S219000, C704S220000, C704S230000
Reexamination Certificate
active
07149683
ABSTRACT:
The present invention relates to a method and device for quantizing linear prediction parameters in variable bit-rate sound signal coding, in which an input linear prediction parameter vector is received, a sound signal frame corresponding to the input linear prediction parameter vector is classified, a prediction vector is computed, the computed prediction vector is removed from the input linear prediction parameter vector to produce a prediction error vector, and the prediction error vector is quantized. Computation of the prediction vector comprises selecting one of a plurality of prediction schemes in relation to the classification of the sound signal frame, and processing the prediction error vector through the selected prediction scheme. The present invention further relates to a method and device for dequantizing linear prediction parameters in variable bit-rate sound signal decoding.
REFERENCES:
patent: 5774839 (1998-06-01), Shlomot
patent: 5956672 (1999-09-01), Serizawa
patent: 6064954 (2000-05-01), Cohen et al.
patent: 6104992 (2000-08-01), Gao et al.
patent: 6122608 (2000-09-01), McCree
patent: 6260010 (2001-07-01), Gao et al.
patent: 6415254 (2002-07-01), Yasunaga et al.
patent: 6475245 (2002-11-01), Gersho et al.
patent: 6604070 (2003-08-01), Gao et al.
patent: 6691092 (2004-02-01), Udaya Bhaskar et al.
patent: 6795805 (2004-09-01), Bessette et al.
patent: 6885988 (2005-04-01), Chen
patent: 6988067 (2006-01-01), Kim et al.
patent: 7010482 (2006-03-01), Gottesman et al.
patent: 2003/0012137 (2003-01-01), Abdelilah et al.
Tammi et al., “Signal Modification for Voiced Wideband Speech Coding and Its Application for IS-95 System,” Speech Coding, 2002, IEEE Workshop Proceedings, Oct. 6-9, 2002, pp. 35 to 37.
Ahmadi et al., “Wideband Speech Coding for CDMA2000 Systems,” Conference Record of the Thirty-Seventh Asilomar Conference on Signals, Systems and Computers, 2003, Nov. 9-12, 2003, vol. 1, pp. 270 to 274.
Salami et al., “The Adaptive Multi-Rate Wideband Codec: History and Performance,” Speech Coding, 2002, IEEE Workshop Proceedings, Oct. 6-9, 2002, pp. 144 to 146.
Bessette et al., “Efficient Methods for High Quality Low Bit Rate Wideband Speech Coding,” Speech Coding, 2002, IEEE Workshop Proceedings, Oct. 6-9, 2002, pp. 114 to 116.
Jelinek et al, “On the Architecture of the CDMA2000 Variable-Rate Multimode Wideband (VMR-WB) Speech Coding Standard,” IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004. Proceedings. May 17-21, 2004, vol. 1, pp. 281 to 284.
“Wideband Coding of Speech at Around 16 kbits/s using Adaptive Multi-rate Wideband, AMR-WB”, Oct. 25, 2002, International Telecommunication Union, ITU-T G.722.2, 20 pgs.
Paskoy, E., et al., “Variable Bit-Rate CELP Coding of Speech with Phonetic Classification”, Sep.-Oct. 1994, pp. 57-67.
Foodeei, M., et al., “A Low Bit Rate Codec for AMR Standard”, 1999, IEEE, pp. 123-125.
Skoglund, J., et al., “Predictive VQ for Noisy Channel Spectrum Coding: AR or MA?”, 1997, IEEE, pp. 1351-1354.
“Adaptive Multi-Rate—Wideband (AMR-WB) Speech Codec”, 3GPP TS 26.190. V6.1.1 (Jul. 2005), 53 pgs.
“Coding of Speech at 8kbit/s Using Conjugate-Structure Algebraic-Code-Excited Linear-Prediction (CS-ACELP)”, Mar. 1996, International Telecommunication Union, 39 pgs.
Harrington & Smith ,LLP
Lerner Martin
Nokia Corporation
LandOfFree
Method and device for robust predictive vector quantization... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Method and device for robust predictive vector quantization..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method and device for robust predictive vector quantization... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3681877