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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jaouadi, N. Ejbali, R. Zaied, M. Ben Amar, C. |
| Copyright Year | 2012 |
| Description | Author affiliation: Higher Institute of Computer and Multimedia of Gabes, Erriadh City campus, 6075 Zrig, Tunisia (Jaouadi, N.; Ejbali, R.; Zaied, M.; Ben Amar, C.) |
| Abstract | In order to improve the speech recognition system, we have proposed the study of the speaker's state in the pronunciation of a word, as an example. Believing that "a speaker can never utter a word in the same way twice" we have decided to study the acoustic space to identify changes in frequency of different discourses. Our goal is to add information about the state of a speaker to improve decision making in the phase of recognition. During this phase, we have based our work on Beta wavelet network as technique to model acoustic unit of speech. |
| Starting Page | 108 |
| Ending Page | 111 |
| File Size | 677093 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467319492 |
| e-ISBN | 9781467319508 |
| DOI | 10.1109/ICCITechnol.2012.6285771 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-06-26 |
| Publisher Place | Tunisia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Training Speech Recognition Speaker situation Beta wavelet network Speech recognition Speech Acoustic space Acoustics Electronic mail Artificial intelligence Information technology |
| Content Type | Text |
| Resource Type | Article |
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