Patent
1996-07-25
1998-03-31
MacDonald, Allen R.
395 228, G10L 302
Patent
active
057347905
ABSTRACT:
In a speech signal encoding system comprising a maximum similarity series extracting unit (50) for producing a series of excitation pulses appearing at an equidistant time interval and an identical amplitude, the maximum similarity series extracting unit sums up, as a waveform, a series of autocorrelation coefficients to produce a series of summation result coefficients. The autocorrelation coefficients correspond to polarized pulses which are equal to one another in pulse interval and pulse amplitude. The polarized pulses form a plurality of pulse sequences which have phases different from one another. The maximum similarity series extracting unit extracts a polarity of each of the polarized pulses by the use of a dynamic programming method using a degree of an accumulated similarity as an evaluation measure and selects, as the excitation pulse series, one of the pulse sequences which has a maximum waveform similarity between the summation result coefficient series and a series of cross correlation coefficients.
REFERENCES:
patent: 4720865 (1988-01-01), Taguchi
patent: 4908863 (1990-03-01), Taguchi et al.
patent: 4937868 (1990-06-01), Taguchi
patent: 4975955 (1990-12-01), Taguchi
patent: 4991215 (1991-02-01), Taguchi
patent: 5001759 (1991-03-01), Fukui
patent: 5228086 (1993-07-01), Morii
patent: 5305421 (1994-04-01), Li
Parsons, Thomas, Voice and Speech Processing, McGraw-Hill Book Co, 1986, pp. 180-182.
MacDonald Allen R.
Mattson Robert C.
NEC Corporation
LandOfFree
Low bit rate speech signal transmitting system using an analyzer does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Low bit rate speech signal transmitting system using an analyzer, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Low bit rate speech signal transmitting system using an analyzer will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-58728