Electrical audio signal processing systems and devices – One-way audio signal program distribution – Public address system
Patent
1989-03-03
1991-01-29
Kemeny, Emanuel S.
Electrical audio signal processing systems and devices
One-way audio signal program distribution
Public address system
G10L 500
Patent
active
049892487
ABSTRACT:
A cost-effective word recognizer. Each frame of spoken input is compared to a set of reference frames. The comparison is equivalent to embodying the reference frame as an LPC inverse filter, and is preferably done in the autocorrelation domain. To avoid the instability and computational difficulties which can be caused by a high-gain LPC inverse filter, a noise floor is introduced into each reference frame sample. Thus, for each input speech frame, a scalar measures its similarity to each of the vocabulary of reference frames.
To achieve connected word recognition based on this similarity measurement, a dynamic programming algorithm is used in which time warping to match a sample to a reference is in effect permitted, and in which matching is performed with unconstrained endpoints. Thus, the word boundary decisions are made on the basis of a local maximum in similarity, and, since no separate word division decision is required, the error which can be introduced by even the best preliminary decision as to word boundaries is avoided.
REFERENCES:
patent: 4349700 (1982-09-01), Pirz et al.
patent: 4400788 (1983-08-01), Myers et al.
patent: 4400828 (1983-08-01), Pirz et al.
Doddington George R.
Schalk Thomas B.
Hiller William E.
Kemeny Emanuel S.
Merrett N. Rhys
Sharp Mel
Texas Instruments Incorporated
LandOfFree
Speaker-dependent connected speech word recognition method does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Speaker-dependent connected speech word recognition method, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Speaker-dependent connected speech word recognition method will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-820293