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» Rhythm and formant features for automatic alcohol detection
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INTERSPEECH
2010
12 years 12 months ago
Rhythm and formant features for automatic alcohol detection
Two speech feature sets, RMS rhythmicity and formant frequencies F1-F4, are analyzed for their ability to distinguish alcoholized from sober speech. We describe the statistical fr...
Florian Schiel, Christian Heinrich, Veronika Neume...
TASLP
2008
126views more  TASLP 2008»
13 years 4 months ago
LyricAlly: Automatic Synchronization of Textual Lyrics to Acoustic Music Signals
We present LyricAlly, a prototype that automatically aligns acoustic musical signals with their corresponding textual lyrics, in a manner similar to manually-aligned karaoke. We ta...
Min-Yen Kan, Ye Wang, Denny Iskandar, Tin Lay Nwe,...
ICASSP
2011
IEEE
12 years 8 months ago
Forensically inspired approaches to automatic speaker recognition
This paper presents ongoing research leveraging forensic methods for automatic speaker recognition. Some of the methods forensic scientists employ include identifying speaker dist...
Kyu J. Han, Mohamed Kamal Omar, Jason W. Pelecanos...
MM
2004
ACM
112views Multimedia» more  MM 2004»
13 years 10 months ago
LyricAlly: automatic synchronization of acoustic musical signals and textual lyrics
We present a prototype that automatically aligns acoustic musical signals with their corresponding textual lyrics, in a manner similar to manually-aligned karaoke. We tackle this ...
Ye Wang, Min-Yen Kan, Tin Lay Nwe, Arun Shenoy, Ju...