An Audiovisual Corpus for Audio Perception and Automatic Audio Recognition (L)

T. Shesagiri; Dr. Niraj Upadahayaya; Dr. G. Vijaya Kumari

An audiovisual corpus has been collected to support the use of common material in speech perception and automatic speech recognition studies. The corpus consists of highquality audio and video recordings of 1000 sentences spoken by each of 34 talkers. Sentences are simple, syntactically identical phrases such as “place green at B 4 now.” Intelligibility tests using the audio signals suggest that the material is easily identifiable in quiet and low levels of stationary noise. The annotated corpus is available on the web for research use.

Select Volume / Issues:

• Volume 3 Issue 4, July 2012

Year:

2012

Type of Publication:

Article

Keywords:

Audio Perception; Audio visual sentence corpus; Collection; Postprocessing; Speech Recognition

Journal:

IJECCE

Volume:

3

Number:

4

Pages:

865-868

Month:

July