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An audio-visual corpus for speech perception and automatic ...

    https://pubmed.ncbi.nlm.nih.gov/17139705/#:~:text=An%20audio-visual%20corpus%20has%20been%20collected%20to%20support,such%20as%20%22place%20green%20at%20B%204%20now%22.
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An audio-visual corpus for speech perception and …

    https://pubmed.ncbi.nlm.nih.gov/17139705/
    An audio-visual corpus for speech perception and automatic speech recognition An audio-visual corpus has been collected to support the use of common material in speech perception and automatic speech recognition studies. The corpus consists of high-quality audio and video recordings of 1000 sentences spoken by each of 34 talkers.

An audio-visual corpus for speech perception and automatic ...

    https://asa.scitation.org/doi/10.1121/1.2229005
    An audio-visual corpus has been collected to support the use of common material in speech perception and automatic speech recognition studies. The corpus consists of high-quality 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.”

An Audiovisual Corpus for Audio Perception and Automatic ...

    https://ijecce.org/administrator/components/com_jresearch/files/publications/IJECCE_671_FInal.pdf
    Keywords – Audio Perception, Audio visual sentence corpus, Collection, Postprocessing, Speech Recognition. I. INTRODUCTION Understanding how humans process and interpret speech in adverse conditions is a major scientific challenge. Two distinct methods for modeling speech perception have been studied. The traditional approach has

An audio-visual corpus for speech perception and automatic ...

    https://laslab.org/journal_paper/an-audio-visual-corpus-for-speech-perception-and-automatic-speech-recognition/
    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.”

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