Automatic voice onset time detection for unvoiced stops (/ p/,/ t/,/ k/) with application to accent classification

Articulation characteristics of particular phonemes can provide cues to distinguish accents in spoken English. For example, as shown in Arslan and Hansen (1996, 1997), Voice Onset Time (VOT) can be used to classify mandarin, Turkish, German and American accented English. Our goal in this study is to...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Speech communication Ročník 52; číslo 10; s. 777 - 789
Hlavní autoři:	Hansen, John H.L., Gray, Sharmistha S., Kim, Wooil
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Amsterdam Elsevier B.V 01.10.2010 Elsevier
Témata:	Accent classification Algorithms Applied sciences Articulation Classification Detection, estimation, filtering, equalization, prediction Exact sciences and technology Indian Information, signal and communications theory Mathematical models Miscellaneous Plugs Signal and communications theory Signal processing Signal representation. Spectral analysis Signal, noise Spectra Spectral Analysis Speech Speech Perception Speech processing Stops Teager Energy Operator (TEO) Telecommunications and information theory Voice Voice Onset Region (VOR) Voice Onset Time Voice Onset Time (VOT) Voicing Voice Onset Region (VOR) Teager Energy Operator (TEO) Voice Onset Time (VOT) Accent classification Speech analysis Discrete Fourier transformation German Verbal perception Parameter extraction Frequency band Vowel Automatic system Phoneme Mellin transformation Target tracking Probabilistic approach Discrete transformation Acoustic signal detection Discrete wavelet transforms Algorithm Signal classification English Onset time Vocal signal Speech recognition Signal processing Chinese Feature extraction Signal analysis Speech processing
ISSN:	0167-6393, 1872-7182
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!