An audio-visual corpus for speech perception and automatic speech recognition
Authors
Year
2006
Journal
Journal of the Acoustical Society of America
DOI
ISSN
Links
An audio-visual corpus has been collected to support the use of common material in speechperception and automatic speech recognition studies. The corpus consists of high-quality audio andvideo recordings of 1000 sentences spoken by each of 34 talkers. Sentences are simple, syntacticallyidentical phrases such as “place green at B 4 now.” Intelligibility tests using the audio signalssuggest that the material is easily identifiable in quiet and low levels of stationary noise. Theannotated corpus is available on the web for research use.