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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bonafonte, A. Nogueiras, A. Rodriguez-Garrido, A. |
| Copyright Year | 1996 |
| Description | Author affiliation: Univ. Politecnica de Catalunya, Barcelona, Spain (Bonafonte, A.) |
| Abstract | The authors investigate an automatic method to segment labeled speech. The method needs an initial estimation of the segmentation which is provided by an alignment based on HMM. Afterwards, the boundaries are refined moving the frontier frames to the segment which is more similar to the speech frame. Gaussian PDFs are used as a similarity measure. The performance of the method is evaluated using the TIMIT database. If boundary deviations (from the reference position) larger than 20 ms are counted as errors, then the replacement of the boundaries reduces the error by 30%. Additional experiments show how the proposed method makes the performance independent of the speaker dependent or speaker independent data used to estimate the HMM. |
| Starting Page | 1269 |
| Ending Page | 1272 |
| File Size | 438646 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780335554 |
| DOI | 10.1109/ICSLP.1996.607841 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1996-10-03 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Loudspeakers Databases Error analysis Hidden Markov models Speech recognition Acoustic measurements Decoding Speech synthesis Labeling Speech processing |
| Content Type | Text |
| Resource Type | Article |
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