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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Martinez, D. Lleida, E. Ortega, A. Miguel, A. |
| Copyright Year | 2013 |
| Description | Author affiliation: Aragon Inst. for Eng. Res. (I3A), Univ. of Zaragoza, Zaragoza, Spain (Martinez, D.; Lleida, E.; Ortega, A.; Miguel, A.) |
| Abstract | The prosody of a language is encoded in syllable length, loudness and pitch. These attributes make humans perceive rhythm, stress and intonation in speech. Depending on the language, these speech properties vary, making language classification possible. On the other hand, formants are the resonance frequencies of the vocal tract, depend heavily on the position adopted by the articulatory organs, and are especially useful to disambiguate vowel sounds. In this paper prosodic and formant information are combined to build a generative language identification system based on Gaussian models fed with iVectors. The system is evaluated on the NIST LRE09 database and the inclusion of formant information gives about 50% relative improvement for the 30 s task over a prosodic system without it. The fusion with a state-of-the-art acoustic system based on shifted delta cepstral coefficients (SDC) shows the complementarity of both approaches. |
| Starting Page | 6847 |
| Ending Page | 6851 |
| File Size | 285826 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781479903566 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.2013.6638988 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-05-26 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Feature extraction Speech Polynomials Stress NIST Cepstral analysis Joint Factor Analysis Language Identification Prosody Formants iVectors |
| Content Type | Text |
| Resource Type | Article |
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