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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Guo-Hong Ding Bo Xu Juha Iso-Sipila Yang Cao |
| Copyright Year | 2003 |
| Description | Author affiliation: High-Tech Innovation Center, Acad. Sinica, Beijing, China (Guo-Hong Ding; Bo Xu) |
| Abstract | This paper proposes two fast and effective adaptation algorithms, which are called SATD and SASBD respectively. The two algorithms are implemented in the MLLR frame and the transform matrices have constrained forms. SATD uses triple diagonal matrices to describe the mismatch between speakers and the acoustic model in the log-spectral domain and the matrices can be transformed into the cepstral domain to adjust the acoustic model. SASBD is different from the traditional block-diagonal MLLR and shares the three transformations of basic MFCC and dynamic features with one matrix. Moreover, both algorithms provide multiple choices for the biases. Experiments are extensively implemented and the results prove the advantages of SATD and SASBD over traditional MLLR. |
| Sponsorship | IEEE Signal Process, Soc |
| File Size | 267601 |
| File Format | |
| ISBN | 0780376633 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.2003.1198777 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-04-06 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Maximum likelihood linear regression Loudspeakers Technological innovation Laboratories Automation Research and development Cepstral analysis Mel frequency cepstral coefficient Parameter estimation Tides |
| Content Type | Text |
| Resource Type | Article |
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