Spectral subtraction using elliptic integral for multiplication factor

نویسنده

  • Takeshi S. Kobayakawa
چکیده

Spectral subtraction(SS) has been used for speech recognition in noisy environments. The maximum likelihood of noise mixed speech is analytically studied, which leads to the reformalization of SS. — Not only the subtraction factor used in conventional SS, but also a novel multiplication factor with elliptic integrals is used. This new SS method can be used alone or together with the conventional SS. The speech recognition experiments use a principal microphone and a reference microphone. The experiments suggest the effectiveness of the mixed method.

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تاریخ انتشار 2005