Telecommunications instrument employing variable criteria speech

Data processing: speech signal processing – linguistics – language – Speech signal processing – Recognition

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704239, 704244, 704275, G10L 708

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active

058421610

ABSTRACT:
A recognition criterion or set of recognition criteria are updated automatically, over time, in accordance with the speech input of the user(s). Each input utterance is compared to one or more models of speech to determine a similarity metric for each such comparison. A model of speech which most closely matches the utterance is determined based on the one or more similarity metrics. The similarity metric corresponding to the most closely matching model of speech is analyzed to determine whether the similarity metric satisfies the selected set of recognition criteria. The recognition criteria are automatically altered during use or "on-the-fly", so that more appropriate criteria (and associated thresholds) may be used to either increase the probability of recognition or decrease the incidence of false positive results. Illustratively, if a voice sample results in a near miss of a template, a more liberal criterion is thereafter employed to increase the probability of recognition for subsequent input. Parametric histories of recognition and near misses followed by recognition are kept with periodic alteration of the criteria values to correspond to these histories. Additionally, parametric histories of false alarms are maintained and used to update criteria values in combination with recognition histories.

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IEE Proceedings I. Mercier et al., "Recognition of speaker-dependent continuous speech with KEAL". vol: 136, pp. 145-154, Apr. 1989.
ICASSP 88: 1988 International Conference on Acoustics, Speech and Signal Processing. Bahl et al., A new algorithm for the estimation of hidden Markov model parameters. vol. 1, pp. 493-497, Apr. 1988.

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