Abstract:Modern speech recognition techniques rely on large amount of speech data whose acoustic characteristics match with the operating environments to train their acoustic models. Gathering training data from loudspeakers playing recorded speech utterances are far more practical than from human speakers. This paper presents results from speech recognition experiments providing practical insights on effects caused by utterances re-recorded form loudspeakers. A clean-speech corpus of sixty human speakers was built usi… Show more
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