A Viterbi search over all possible segmen- tations is used for recognition with unknown segmen- tations. The models are trained from known segmen- tations using ...
Bibliographic details on Improvements in the Stochastic Segment Model for Phoneme Recognition.
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This paper proposes methods based on statistical pattern recognition for the segmentation and recognition of phonemes by means of the time-spectrum pattern ...
Abstract— This paper introduces an adaptive phoneme-based multi-expert speech recognition system using the myoelectric signal (MES). The MES produced.
Improvements in the stochastic segment model for Phoneme recognition ... segmentation and recognition of phones using the Stochastic Segment Model (SSM).
provements in the Stochastic Segment Model for. Phoneme Recognition," Proc. DARPA Speech and. Natural Language Workshop, pp. 332-338, October. 1989. [3] V ...
[PDF] The Stochastic Segment Model for Continuous Speech Recognition
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A new direction in speech recognition via statisti- cal methods is to move from frame-based models, such as Hidden Markov Models (HMMs), to segment-based.
An approach for context modeling in continuous speech recognition for models based on multivariate Gaussian distributions, specifically, the stochastic ...
I he lexical model could be improved either by introducing phonological rules or by using the general lexical model of Chapter III liiiher model could be ...