Vector quantizer

Details Vector quantizer Vector quantizer

1995-02-01

1997-11-25

Olms, Douglas W.

395 233, 395 243, 395 245, 395 253, G10L 900

Patent

active

056921004

ABSTRACT:
A codebook for vector quantization is speaker-adapted or a speaker is normalized so that it complies with the codebook using a small number of samples for learning. A deviation vector is set for the centroid of each cluster or an input vector. The deviation vector is set so that a separately defined objective function is maximized if it is defined to be maximized, or minimized if it is defined to be minimized. The maximization or minimization is performed using samples for learning obtained from a speaker who uses the system when the centroid or input vector is moved by an amount corresponding to the deviation vector. By moving the centroid or input vector using the deviation vector, speaker adaptation is performed if the former is moved and speaker normalization is performed if the latter is moved.

REFERENCES:
patent: 4922508 (1990-05-01), Moriya
patent: 5046099 (1991-09-01), Nishimura
patent: 5377301 (1994-12-01), Rosenberg et al.
patent: 5487128 (1996-01-01), Ozawa
Picone, "Continuous Speech Recognition Using Hidden Markov Models", IEEE ASSP Magazine, pp. 26-41, Jul. 1990.
Ephraim, "Gain-Adapted Hidden Markov Models for Recognition of Clean and Noisy Speech", IEEE Trans. on Sig. Proc., vol. 40, No. 6, pp. 1303-1316, Jun. 1992.

Affiliated with

Also associated with

Rating

Vector quantizer does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Vector quantizer, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Vector quantizer will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-2114404