Statistical analysis of amplitude modulation in speech signals using an AM-FM model

Tsiakoulis, P; Potamianos, A

dc.contributor.author	Tsiakoulis, P	en
dc.contributor.author	Potamianos, A	en
dc.date.accessioned	2014-03-01T02:52:07Z
dc.date.available	2014-03-01T02:52:07Z
dc.date.issued	2009	en
dc.identifier.issn	15206149	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35855
dc.subject	AM-FM	en
dc.subject	Modulations	en
dc.subject	Speech analysis	en
dc.subject.other	Acoustic features	en
dc.subject.other	AM-FM	en
dc.subject.other	AM-FM models	en
dc.subject.other	Amplitude envelope	en
dc.subject.other	Analysis and modeling	en
dc.subject.other	Contextual feature	en
dc.subject.other	FM modulation	en
dc.subject.other	Fundamental frequencies	en
dc.subject.other	Multiband	en
dc.subject.other	Speaker recognition	en
dc.subject.other	Speech applications	en
dc.subject.other	Speech signals	en
dc.subject.other	Statistical analysis	en
dc.subject.other	Acoustics	en
dc.subject.other	Natural frequencies	en
dc.subject.other	Signal processing	en
dc.subject.other	Speech analysis	en
dc.subject.other	Speech processing	en
dc.subject.other	Speech recognition	en
dc.subject.other	Telephone sets	en
dc.subject.other	Amplitude modulation	en
dc.title	Statistical analysis of amplitude modulation in speech signals using an AM-FM model	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICASSP.2009.4960500	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICASSP.2009.4960500	en
heal.identifier.secondary	4960500	en
heal.publicationDate	2009	en
heal.abstract	Several studies have been dedicated to the analysis and modeling of AM-FM modulations in speech and different algorithms have been proposed for the exploitation of modulations in speech applications. This paper details a statistical analysis of amplitude modulations using a multi-band AM-FM analysis framework. The aim of this study is to analyze the phonetic- and speaker-dependency of modulations in the amplitude envelope of speech resonances. The analysis focuses on the dependence of such modulations on acoustic features such as, fundamental frequency, formant proximity, phone identity, as well as, speaker identity and contextual features. The results show that the amplitude modulation index of a speech resonance is mainly a function of the speaker's average fundamental frequency, the phone identity, and the proximity between neighboring formant resonances. The results are especially relevant for speech and speaker recognition application employing modulation features. ©2009 IEEE.	en
heal.journalName	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings	en
dc.identifier.doi	10.1109/ICASSP.2009.4960500	en
dc.identifier.spage	3981	en
dc.identifier.epage	3984	en