Spectral transition measure for detection of obstruents

2015 ◽  
Author(s):  
MaulikC. Madhavi ◽  
HemantA. Patil ◽  
Bhavik B. Vachhani
Keyword(s):  
Spectral Transition ◽  
Transition Measure

scholarly journals Phoneme Segmentation of Tamil Speech Signals Using Spectral Transition Measure

2017 ◽  
Vol 10 (1) ◽  
pp. 114-119
Author(s):  
K Geetha ◽  
R Vadivel
Keyword(s):  
Native Speakers ◽  
Research Work ◽  
Information Criterion ◽  
Spoken Word ◽  
Phoneme Segmentation ◽  
Short Term ◽  
Spectral Transition ◽  
Term Energy ◽  
Transition Measure ◽  
Recognition Systems

Process of identifying the end points of the acoustic units of the speech signal is called speech segmentation. Speech recognition systems can be designed using sub-word unit like phoneme. A Phoneme is the smallest unit of the language. It is context dependent and tedious to find the boundary. Automated phoneme segmentation is carried in researches using Short term Energy, Convex hull, Formant, Spectral Transition Measure(STM), Group Delay Functions, Bayesian Information Criterion, etc. In this research work, STM is used to find the phoneme boundary of Tamil speech utterances. Tamil spoken word dataset was prepared with 30 words uttered by 4 native speakers with a high quality microphone. The performance of the segmentation is analysed and results are presented.

Sequential speech segmentation based on the spectral ARMA transition measure

1996 ◽  
Vol 15 (1) ◽  
pp. 71-92 ◽  
Author(s):  
Srbijanka R. Turajlić ◽  
Zoran M. Šarić
Keyword(s):  
Speech Segmentation ◽  
Transition Measure

End‐point detection of speech using spectral transition for captioning system

2006 ◽  
Vol 120 (5) ◽  
pp. 3215-3215
Author(s):  
Ayako Koga ◽  
Yuki Fujikashi ◽  
Takayuki Arai ◽  
Noboru Kanedera ◽  
Junko Yoshii
Keyword(s):  
Spectral Transition ◽  
End Point ◽  
End Point Detection ◽  
Point Detection
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