A HIERRARCHICAL LABELER IN A SPEECH RECOGNITION SYSTEM

Patent №

US 6,023,673

Granted

2000-02-08

Filed 1997

Owner

IBM CORPORATION

AI components

2

ml · speech

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

08869061

A speech coding apparatus and method uses a hierarchy of prototype sets to code an utterance while consuming fewer computing resources. The value of at least one feature of an utterance is measured during each of a series of successive time intervals to produce a series of feature vector signals representing the feature values. A plurality of level subsets of prototype vector signals is computed, wherein each prototype vector signal in a higher level subset is associated with at least one prototype vector signal in a lower level subset. Each level subset contains a plurality of prototype vector signals, with lower level subsets containing more prototypes than higher level subsets. The closeness of the feature value of the first feature vector signal is compared to the parameter values of prototype vector signals in the first level subset of prototype vector signals to obtain a ranked list of prototype match scores for the first feature vector signal and each prototype vector signal in the first level subset. The closeness of the feature value of the first feature vector signal is compared to the parameter values of each prototype vector signal in a second (lower) level subset that is associated with the highest ranking prototype vectors in the first level subset, to obtain a second ranked list of prototype match scores. The identification value of the prototype vector signal in the second ranked list having the best prototype match score is output as a coded utterance representation signal of the first feature vector signal.

AI classification

Speech1.00
Machine learning1.00
Natural language0.36
Knowledge representation0.21
AI hardware0.07
Vision0.04
Evolutionary computation0.00
Planning0.00

Ownership

IBM CORPORATION

assignment · 88120506

Assignors

BAKIS, RAIMO, NAHAMOO, DAVID, PICHENY, MICHAEL A., SEDIVY, JAN

On an employer assignment, the assignors are typically the inventors.

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