Glottal Closure and Opening Instant Detection from Speech Signals”, submitted to Interspeech 2009
This paper proposes a new procedure to detect Glottal Closure and Opening Instants (GCIs and GOIs) directly from speech waveforms. The procedure is divided into two successive steps. First a mean-based signal is computed, and intervals where speech events are expected to occur are extracted from it....
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.159.6435 2023-05-15T15:00:24+02:00 Glottal Closure and Opening Instant Detection from Speech Signals”, submitted to Interspeech 2009 Thomas Drugman Thierry Dutoit The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.159.6435 http://tcts.fpms.ac.be/~drugman/files/IS09-GCIdetection.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.159.6435 http://tcts.fpms.ac.be/~drugman/files/IS09-GCIdetection.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://tcts.fpms.ac.be/~drugman/files/IS09-GCIdetection.pdf text ftciteseerx 2016-01-07T15:38:24Z This paper proposes a new procedure to detect Glottal Closure and Opening Instants (GCIs and GOIs) directly from speech waveforms. The procedure is divided into two successive steps. First a mean-based signal is computed, and intervals where speech events are expected to occur are extracted from it. Secondly, at each interval a precise position of the speech event is assigned by locating a discontinuity in the Linear Prediction residual. The proposed method is compared to the DYPSA algorithm on the CMU ARCTIC database. A significant improvement as well as a better noise robustness are reported. Besides, results of GOI identification accuracy are promising for the glottal source characterization. 1. Text Arctic Unknown Arctic |
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This paper proposes a new procedure to detect Glottal Closure and Opening Instants (GCIs and GOIs) directly from speech waveforms. The procedure is divided into two successive steps. First a mean-based signal is computed, and intervals where speech events are expected to occur are extracted from it. Secondly, at each interval a precise position of the speech event is assigned by locating a discontinuity in the Linear Prediction residual. The proposed method is compared to the DYPSA algorithm on the CMU ARCTIC database. A significant improvement as well as a better noise robustness are reported. Besides, results of GOI identification accuracy are promising for the glottal source characterization. 1. |
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The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Thomas Drugman Thierry Dutoit |
spellingShingle |
Thomas Drugman Thierry Dutoit Glottal Closure and Opening Instant Detection from Speech Signals”, submitted to Interspeech 2009 |
author_facet |
Thomas Drugman Thierry Dutoit |
author_sort |
Thomas Drugman Thierry Dutoit |
title |
Glottal Closure and Opening Instant Detection from Speech Signals”, submitted to Interspeech 2009 |
title_short |
Glottal Closure and Opening Instant Detection from Speech Signals”, submitted to Interspeech 2009 |
title_full |
Glottal Closure and Opening Instant Detection from Speech Signals”, submitted to Interspeech 2009 |
title_fullStr |
Glottal Closure and Opening Instant Detection from Speech Signals”, submitted to Interspeech 2009 |
title_full_unstemmed |
Glottal Closure and Opening Instant Detection from Speech Signals”, submitted to Interspeech 2009 |
title_sort |
glottal closure and opening instant detection from speech signals”, submitted to interspeech 2009 |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.159.6435 http://tcts.fpms.ac.be/~drugman/files/IS09-GCIdetection.pdf |
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Arctic |
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http://tcts.fpms.ac.be/~drugman/files/IS09-GCIdetection.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.159.6435 http://tcts.fpms.ac.be/~drugman/files/IS09-GCIdetection.pdf |
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Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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1766332499726696448 |