Comparing speaker-dependent and speaker-adaptive acoustic models for recognizing dysarthric speech

Authors:
Frank Rudzicz
Affiliations:
University of Toronto
Venue:
Proceedings of the 9th international ACM SIGACCESS conference on Computers and accessibility
Year:
2007

Citing 1
Cited 5

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Spoken Language Processing: A Guide to Theory, Algorithm, and System Development

State-transition interpolation and MAP adaptation for HMM-based dysarthric speech recognition

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Towards a noisy-channel model of dysarthria in speech recognition

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Using articulatory likelihoods in the recognition of dysarthric speech

Speech Communication
Characterization of atypical vocal source excitation, temporal dynamics and prosody for objective measurement of dysarthric word intelligibility

Speech Communication
The TORGO database of acoustic and articulatory speech from speakers with dysarthria

Language Resources and Evaluation

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Abstract

Acoustic modeling of dysarthric speech is complicated by its increased intra- and inter-speaker variability. The accuracy of speaker-dependent and speaker-adaptive models are compared for this task, with the latter prevailing across varying levels of speaker intelligibility.