title: Estimation of voice-onset time in continuous speech using temporal measures.
abstract: This paper proposes an automatic acoustic-phonetic method for estimating voice-onset time of stops. This method requires neither transcription of the utterance nor training of a classifier. It makes use of the plosion index for the automatic detection of burst onsets of stops. Having detected the burst onset, the onset of the voicing following the burst is detected using the epochal information and a temporal measure named the maximum weighted inner product. For validation, several experiments are carried out on the entire TIMIT database and two of the CMU Arctic corpora. The performance of the proposed method compares well with three state-of-the-art techniques.
authors.affiliation: Department of Electrical Engineering, Indian Institute of Science, Bangalore 560012, India prathoshap@ee.iisc.ernet.in, ramkiag@ee.iisc.ernet.in.
authors.forename: A P
authors.initials: AP
authors.lastname: Prathosh
authors.affiliation: Department of Electrical Engineering, Indian Institute of Science, Bangalore 560012, India prathoshap@ee.iisc.ernet.in, ramkiag@ee.iisc.ernet.in.
authors.forename: A G
authors.initials: AG
authors.lastname: Ramakrishnan
authors.affiliation: Voice and Speech Systems, Malleshwaram, Bangalore 560003, India tva.blr@gmail.com.
authors.forename: T V
authors.initials: TV
authors.lastname: Ananthapadmanabha
mesh_terms: D000465:Algorithms; D006801:Humans; D010363:Pattern Recognition, Automated; D010700:Phonetics; D012815:Signal Processing, Computer-Assisted; D013018:Sound Spectrography; D013061:Speech Acoustics; D013068:Speech Production Measurement; D013997:Time Factors; D014833:Voice Quality