Speech Recognition in Mixed Sound of Speech and Music Based on Vector Quantization and Non-Negative Matrix Factorization
نویسندگان
چکیده
This paper describes a speech recognition method for mixed sound, consisting of speech and music, that removes the music only based on vector quantization (VQ) and non-negative matrix factorization (NMF). For isolated word recognition using the clean speech model, an improvement of about 15% was obtained compared with the case of not removing music. Furthermore, a high recognition rate of about 90% was achieved, even under the 0 dB condition using a model trained from the mixed sound after removing the music according to the VQ method.
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تاریخ انتشار 2011