8th European Conference on Speech Communication and Technology

Geneva, Switzerland
September 1-4, 2003


Speech Enhancement with Microphone Array and Fourier / Wavelet Spectral Subtraction in Real Noisy Environments

Yuki Denda, Takanobu Nishiura, Hideki Kawahara

Wakayama University, Japan

It is very important to capture distant-talking speech with high quality for teleconferencing systems or voice-controlled systems. For this purpose, microphone array steering and Fourier spectral subtraction, for example, are ideal candidates. A combination technique using both microphone array steering and Fourier spectral subtraction has also been proposed to improve performance. However, it is difficult for the conventional approach to reduce non-stationary noise, although it is easy to robustly reduce stationary noise. To cope with this problem, we propose a new combination technique with microphone array steering and Fourier / wavelet spectral subtraction. Wavelet spectral subtraction promises to effectively reduce non-stationary noise, because the wavelet transform admits a variable time-frequency resolution on each frequency band. As a result of an evaluation experiment in a real room, we confirmed that the proposed combination technique provides better performance of the ASR (Automatic Speech Recognition) and NRR (Noise Reduction Rate) than the conventional combination technique.

Full Paper

Bibliographic reference.  Denda, Yuki / Nishiura, Takanobu / Kawahara, Hideki (2003): "Speech enhancement with microphone array and fourier / wavelet spectral subtraction in real noisy environments", In EUROSPEECH-2003, 2153-2156.