9th Annual Conference of the International Speech Communication Association

Brisbane, Australia
September 22-26, 2008

Speech Enhancement Using a Wiener Denoising Technique and Musical Noise Reduction

Md. Jahangir Alam (1), Sid-Ahmed Selouani (2), Douglas O'Shaughnessy (1), Sofia Ben Jebara (3)

(1) Université du Québec, Canada; (2) Université du Moncton, Canada; (3) Ecole Supérieure des Communications de Tunis, Tunisia

Speech enhancement methods using spectral subtraction have the drawback of generating an annoying residual noise with musical character. In this paper a frequency domain optimal linear estimator with perceptual post filtering is proposed which incorporates the masking properties of the human auditory system to make the residual noise distortion inaudible. The performance of the proposed enhancement algorithm is evaluated by the Segmental SNR, Log Spectral Distance (LSD) and Perceptual Evaluation of Speech Quality (PESQ) measures under various noisy environments and yields better results compared to the Wiener denoising technique.

Full Paper

Bibliographic reference.  Alam, Md. Jahangir / Selouani, Sid-Ahmed / O'Shaughnessy, Douglas / Jebara, Sofia Ben (2008): "Speech enhancement using a wiener denoising technique and musical noise reduction", In INTERSPEECH-2008, 407-410.