Speech coding by code-edited linear prediction

Data processing: speech signal processing – linguistics – language – Speech signal processing – For storage or transmission

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704201, 704219, 704220, 704221, 704224, 704225, 704230, G10L 302

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active

057873917

ABSTRACT:
In a speech coding method of the present invention, initially, a plurality of samples of speech data are analyzed by a linear prediction analysis and thereby prediction coefficients are calculated. Then, the prediction coefficients are quantized, and the quantized prediction coefficients are set in a synthesis filter. Moreover, a pitch period vector is selected from an adaptive codebook in which a plurality of pitch period vectors are stored, and the selected pitch period vector is multiplied by a first gain which is obtained, at the same time, with a second gain. In addition, a noise waveform vector is selected from a random codebook in which a plurality of the noise waveform vectors are stored, and is multiplied by a predicted gain and the second gain. Then, the speech vector is synthesized by exciting the synthesis filter with the pitch period vector multiplied by the first gain, and with the noise waveform vector multiplied by the predicted gain and the second gain. Consequently, speech data comprising a plurality of samples are coded as a unit of a frame operation. Furthermore, the predicted gain multiplied by the noise waveform vector which is selected in a subsequent frame operation, is predicted based on the current noise waveform vector which is multiplied by the predicted gain and the second gain at the current frame operation, and also the previous waveform vector which is multiplied by the predicted gain and the second gain in the previous frame operation.

REFERENCES:
patent: 4860355 (1989-08-01), Copperi
patent: 4975956 (1990-12-01), Liu et al.
patent: 4991214 (1991-02-01), Freeman et al.
patent: 5010574 (1991-04-01), Wang
patent: 5230037 (1993-07-01), Giustiniani et al.
patent: 5305332 (1994-04-01), Ozawa
patent: 5321793 (1994-06-01), Drogo de Iacovo et al.
patent: 5377301 (1994-12-01), Rosenberg et al.
patent: 5396576 (1995-03-01), Miki et al.
patent: 5426460 (1995-06-01), Erving et al.
patent: 5432883 (1995-07-01), Yoshihara
J.-H. Chen, "High-Quality 16 kb/s Speech Coding with a One-Way Delay Less Than 2 ms," Acoustics, Speech & Signal Processing Conference: ICASSP '90, pp. 453-456 (1990).
J.-H. Chen et al., "LD-CELP: A High Quality 16 kb/s Speech Coder with Low Delay," IEEE Global Telecommunications Conf.: GLOBECOM '90, pp. 528-532 (1990).
E.M. Warrington et al., "A Case Study on Digital Communication Systems," in. N.B. Jones et al., ed., Digital Signal Processing: Principles, Devices, and Applications, 1990, pp. 335-337.
Kuo et al., "Low Bit-Rate Quantization of LSP Parameters Using Two-Dimensional Differential Coding," ICASSP-92, Mar. 23-26, 1992, v. 1, pp. 97-100.
Xydeas et al., "A Long History Quantization Approach to Scalar and Vector Quantization of LSP Coefficients," ICASSP-93, Apr. 27-30, 1993, v. 2, pp. 1-4.
Hagen et al., "Low Bit-Rate Spectral Coding in CELP, A New LSP-Method," ICASSP-90, Apr. 3-6, 1990, v. 1, pp. 189-219.
Ozawa et al., "4kb/s Improved CELP Coder with Efficient Vector Quantization," ICASSP-91, May 14-17, 1991, v. 1, pp. 213-216.

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