Detection of Glottal Closure Instants from Bessel Features using AM-FM Signal
Abstract—Glottal closure instants (GCI) information is useful for accurate speech analysis. In particular accurate spectrum analysis is performed by considering the speech in the intervals of glottal closure. In this paper we propose an approach for detection of GCI based on Bessel features, amplitu...
Main Authors: | , , |
---|---|
Other Authors: | |
Format: | Text |
Language: | English |
Subjects: | |
Online Access: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.471.8963 http://speech.iiit.ac.in/svlpubs/conference/chetanadhanunjayasurya_IWSSIP2011.pdf |
id |
ftciteseerx:oai:CiteSeerX.psu:10.1.1.471.8963 |
---|---|
record_format |
openpolar |
spelling |
ftciteseerx:oai:CiteSeerX.psu:10.1.1.471.8963 2023-05-15T15:03:18+02:00 Detection of Glottal Closure Instants from Bessel Features using AM-FM Signal Chetana Prakash Dhananjaya N Suryakanth V. Gangashetty The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.471.8963 http://speech.iiit.ac.in/svlpubs/conference/chetanadhanunjayasurya_IWSSIP2011.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.471.8963 http://speech.iiit.ac.in/svlpubs/conference/chetanadhanunjayasurya_IWSSIP2011.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://speech.iiit.ac.in/svlpubs/conference/chetanadhanunjayasurya_IWSSIP2011.pdf text ftciteseerx 2016-01-08T07:20:34Z Abstract—Glottal closure instants (GCI) information is useful for accurate speech analysis. In particular accurate spectrum analysis is performed by considering the speech in the intervals of glottal closure. In this paper we propose an approach for detection of GCI based on Bessel features, amplitude and frequency modulated (AM-FM) signal. Using appropriate range of Bessel coefficients, the narrow band, band limited signal is obtained for the given signal. The bandlimited signal is considered as a AM-FM signal. The signal is band limited for 0-300 Hz to remove effect of formants. Amplitude Envelope (AE) function of the AM-FM signal model has been estimated by the discrete energy separation algorithm (DESA). We experimentally evaluated our approach to detect GCI on CMU-Arctic database. The corresponding electro-glottograph (EGG) signals are used as a reference for the validation of the detected GCI locations. I. Text Arctic Unknown Arctic |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
ftciteseerx |
language |
English |
description |
Abstract—Glottal closure instants (GCI) information is useful for accurate speech analysis. In particular accurate spectrum analysis is performed by considering the speech in the intervals of glottal closure. In this paper we propose an approach for detection of GCI based on Bessel features, amplitude and frequency modulated (AM-FM) signal. Using appropriate range of Bessel coefficients, the narrow band, band limited signal is obtained for the given signal. The bandlimited signal is considered as a AM-FM signal. The signal is band limited for 0-300 Hz to remove effect of formants. Amplitude Envelope (AE) function of the AM-FM signal model has been estimated by the discrete energy separation algorithm (DESA). We experimentally evaluated our approach to detect GCI on CMU-Arctic database. The corresponding electro-glottograph (EGG) signals are used as a reference for the validation of the detected GCI locations. I. |
author2 |
The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Chetana Prakash Dhananjaya N Suryakanth V. Gangashetty |
spellingShingle |
Chetana Prakash Dhananjaya N Suryakanth V. Gangashetty Detection of Glottal Closure Instants from Bessel Features using AM-FM Signal |
author_facet |
Chetana Prakash Dhananjaya N Suryakanth V. Gangashetty |
author_sort |
Chetana Prakash |
title |
Detection of Glottal Closure Instants from Bessel Features using AM-FM Signal |
title_short |
Detection of Glottal Closure Instants from Bessel Features using AM-FM Signal |
title_full |
Detection of Glottal Closure Instants from Bessel Features using AM-FM Signal |
title_fullStr |
Detection of Glottal Closure Instants from Bessel Features using AM-FM Signal |
title_full_unstemmed |
Detection of Glottal Closure Instants from Bessel Features using AM-FM Signal |
title_sort |
detection of glottal closure instants from bessel features using am-fm signal |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.471.8963 http://speech.iiit.ac.in/svlpubs/conference/chetanadhanunjayasurya_IWSSIP2011.pdf |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
http://speech.iiit.ac.in/svlpubs/conference/chetanadhanunjayasurya_IWSSIP2011.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.471.8963 http://speech.iiit.ac.in/svlpubs/conference/chetanadhanunjayasurya_IWSSIP2011.pdf |
op_rights |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
_version_ |
1766335167835668480 |