Speech rhythm guided syllable nuclei detection
In this paper, we present a novel speech-rhythm-guided syllable-nuclei location detection algorithm. As a departure from conventional methods, we introduce an instantaneous speech rhythm estimator to predict possible regions where syllable nuclei can appear. Within a possible region, a simple slope...
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Institute of Electrical and Electronics Engineers
2010
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| Online Access: | http://hdl.handle.net/1721.1/60218 https://orcid.org/0000-0002-3097-360X |
| _version_ | 1811081745071603712 |
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| author | Glass, James R. Zhang, Yaodong, Ph. D. Massachusetts Institute of Technology |
| author2 | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
| author_facet | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Glass, James R. Zhang, Yaodong, Ph. D. Massachusetts Institute of Technology |
| author_sort | Glass, James R. |
| collection | MIT |
| description | In this paper, we present a novel speech-rhythm-guided syllable-nuclei location detection algorithm. As a departure from conventional methods, we introduce an instantaneous speech rhythm estimator to predict possible regions where syllable nuclei can appear. Within a possible region, a simple slope based peak counting algorithm is used to get the exact location of each syllable nucleus. We verify the correctness of our method by investigating the syllable nuclei interval distribution in TIMIT dataset, and evaluate the performance by comparing with a state-of-the-art syllable nuclei based speech rate detection approach. |
| first_indexed | 2024-09-23T11:51:30Z |
| format | Article |
| id | mit-1721.1/60218 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T11:51:30Z |
| publishDate | 2010 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | mit-1721.1/602182022-10-01T06:30:41Z Speech rhythm guided syllable nuclei detection Glass, James R. Zhang, Yaodong, Ph. D. Massachusetts Institute of Technology Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Glass, James R. Glass, James R. Zhang, Yaodong In this paper, we present a novel speech-rhythm-guided syllable-nuclei location detection algorithm. As a departure from conventional methods, we introduce an instantaneous speech rhythm estimator to predict possible regions where syllable nuclei can appear. Within a possible region, a simple slope based peak counting algorithm is used to get the exact location of each syllable nucleus. We verify the correctness of our method by investigating the syllable nuclei interval distribution in TIMIT dataset, and evaluate the performance by comparing with a state-of-the-art syllable nuclei based speech rate detection approach. 2010-12-06T23:03:25Z 2010-12-06T23:03:25Z 2009-04 Article http://purl.org/eprint/type/ConferencePaper 978-1-4244-2353-8 1520-6149 INSPEC Accession Number: 10701647 http://hdl.handle.net/1721.1/60218 Yaodong Zhang, and J.R. Glass. “Speech rhythm guided syllable nuclei detection.” Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on. 2009. 3797-3800. © 2009, IEEE https://orcid.org/0000-0002-3097-360X en_US http://dx.doi.org/10.1109/ICASSP.2009.4960454 IEEE International Conference on Acoustics, Speech and Signal Processing Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Institute of Electrical and Electronics Engineers IEEE |
| spellingShingle | Glass, James R. Zhang, Yaodong, Ph. D. Massachusetts Institute of Technology Speech rhythm guided syllable nuclei detection |
| title | Speech rhythm guided syllable nuclei detection |
| title_full | Speech rhythm guided syllable nuclei detection |
| title_fullStr | Speech rhythm guided syllable nuclei detection |
| title_full_unstemmed | Speech rhythm guided syllable nuclei detection |
| title_short | Speech rhythm guided syllable nuclei detection |
| title_sort | speech rhythm guided syllable nuclei detection |
| url | http://hdl.handle.net/1721.1/60218 https://orcid.org/0000-0002-3097-360X |
| work_keys_str_mv | AT glassjamesr speechrhythmguidedsyllablenucleidetection AT zhangyaodongphdmassachusettsinstituteoftechnology speechrhythmguidedsyllablenucleidetection |