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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Monica, T. Nagarajan, T. |
| Copyright Year | 2011 |
| Description | Author affiliation: Department of Information Technology, SSN College of Engineering, Chennai, India (Monica, T.; Nagarajan, T.) |
| Abstract | This paper proposes an algorithm for identifying the phoneme boundaries in a given speech signal without the need for its orthographic transcription. The algorithm is a two level process whereby in the first level the phoneme boundaries are determined by silence/voiced/unvoiced classification and in the second level the voiced parts are alone tokenized further. TIMIT database was used to carry out the experiments and to check the correctness of the automatically detected phoneme boundaries. The experimental results showed that the performance of the algorithm in identifying the correct boundaries was ∼75%. |
| Starting Page | 843 |
| Ending Page | 847 |
| File Size | 319385 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781457705885 |
| e-ISBN | 9781457705908 |
| DOI | 10.1109/ICRTIT.2011.5972311 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-03 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Training Smoothing methods Correlation Segmentation GMM Speech recognition Speech Feature extraction Indexes Phoneme |
| Content Type | Text |
| Resource Type | Article |
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