Patent
1995-06-05
1997-06-24
MacDonald, Allen R.
395 228, 395 232, 395 235, 395 242, G10L 300
Patent
active
056424655
ABSTRACT:
A speech signal digitized as successive frames is subjected to analysis-by-synthesis in order to obtain, for each frame, quantization values of synthesis parameters allowing reconstruction of an estimate of the speech signal. The analysis-by-synthesis includes short-term linear prediction of the speech signal in order to determine the quantization values of the coefficients of a short-term synthesis filter. A spectral state of the speech signal is determined from among first and second states such that the signal contains proportionally less energy at the low frequencies in the first state than in the second state, and one or the other of two modes of quantization is applied to obtain the quantization values of the coefficients of the short-term synthesis filter depending on the determined spectral state of the speech signal.
REFERENCES:
International Conference on Acoustics, Speech and Signal Processing 92, vol. 1, May 1991, Toronto--"A robust 440-bps speech coder against backgroung noise", LIU-pp. 601-604.
International Conference on Acoustics, Speech and Signal Processing 93, vol. 2, Apr. 1993, Minneapolis--"Vector quantized MBE with simplified v/UV division at 3.0 kbps", Nishiguchi et al-pp. 151-154.
International Conference on Acoustics, Speech and Signal Processing 85, vol. 3, Mar. 185, Tampa--"Code-excited linear prediction (CElP): high-quality speech at very low bit rates", Schroeder et al-pp. 937-940
Navarro William
Scott Sophie
Collins Alphonso A.
MacDonald Allen R.
Matra Communication
LandOfFree
Linear prediction speech coding method using spectral energy for does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Linear prediction speech coding method using spectral energy for, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Linear prediction speech coding method using spectral energy for will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-154727