Name
Title | ||
|---|---|---|
Robust feature extraction to utterance fluctuations due to articulation disorders based on sparse expression |
Abstract | ||
|---|---|---|
We investigated the speech recognition of a person with articulation disorders resulting from athetoid cerebral palsy. Recently, the accuracy of speaker-independent speech recognition has been remarkably improved by the use of stochastic modeling of speech. However, the use of those acoustic models causes degradation of speech recognition for a person with different speech styles (e.g., articulation disorders). In this paper, we discuss our efforts to build an acoustic model for a person with articulation disorders. The articulation of the first utterance tends to become more unstable than other utterances due to strain on speech-related muscles, and that causes degradation of speech recognition. Therefore, we propose a robust feature extraction method based on exemplar-based sparse representation using NMF (Non-negative Matrix Factorization). In our method, the unstable first utterance is expressed as a linear and non-negative combination of a small number of bases created using the more stable utterances of a person with articulation disorders. Then, we use the coefficient of combination as an acoustic feature. Its effectiveness has been confirmed by word-recognition experiments. |
Year | Venue | Keywords |
|---|---|---|
2012 | Signal & Information Processing Association Annual Summit and Conference | feature extraction,handicapped aids,speech recognition,acoustic models,articulation disorders,athetoid cerebral palsy,exemplar-based sparse representation,feature extraction method,nonnegative matrix factorization,sparse expression,speaker-independent speech recognition,speech recognition degradation,speech stochastic modeling,speech-related muscles,utterance fluctuations,word-recognition experiments |
DocType | ISSN | ISBN |
Conference | 2309-9402 | 978-1-4673-4863-8 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Toshiya Yoshioka | 1 | 0 | 0.34 |
| Ryoichi Takashima | 2 | 95 | 12.16 |
| Tetsuya Takiguchi | 3 | 85 | 8.77 |
| Yasuo Ariki | 4 | 519 | 88.94 |