STFT Phase Improvement for Single Channel Speech Enhancement
نویسندگان
چکیده
In state-of-the-art single channel short-time Fourier transform (STFT) based speech enhancement algorithms only the amplitude of the noisy speech signal is improved, but its phase is left unchanged. It is commonly assumed that the noisy phase is the best estimate of the clean phase available. While using the noisy phase is indeed optimal under certain statistical assumptions, in this paper we show that blindly improving the noisy phase is possible when these, potentially limiting, assumptions are dropped. Without modifying the amplitude, the proposed algorithm leads to frequency weighted SNR improvements of up to 1.8 dB. Further, the presented phase enhancement scheme is real-time capable and can be combined with any off-the-shelf STFT-based amplitude estimator.
منابع مشابه
Timo Gerkmann , Martin Krawczyk - Becker , and Jonathan Le Roux ] [ History and recent advances ] Phase Processing for Single - Channel Speech Enhancement
Date of publication: 12 February 2015 ith the advancement of technology, both assisted listening devices and speech communication devices are becoming more portable and also more frequently used. As a consequence, users of devices such as hearing aids, cochlear implants, and mobile telephones, expect their devices to work robustly anywhere and at any time. This holds in particular for challengi...
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