Unsupervised acoustic model adaptation a
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Miichi Yamada; Akira Baba; Shinichi Yoshizawa; Yuuichiro Mera; Akinobu Lee; Hiro
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Article
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2006
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John Wiley and Sons
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English
β 981 KB
This paper proposes an unsupervised noisy environment adaptation algorithm based on the HMM acoustic model, using MLLR and a multispeaker database. An arbitrary single sentence uttered by the target speaker, together with living room noise, is used as the input, and the data with superposed noise fo