8th European Conference on Speech Communication and Technology

Geneva, Switzerland
September 1-4, 2003


Speech Enhancement Using A-Priori Information

Sriram Srinivasan, Jonas Samuelsson, W. Bastiaan Kleijn

KTH, Sweden

In this paper, we present a speech enhancement technique that uses a-priori information about both speech and noise. The a-priori information consists of speech and noise spectral shapes stored in trained codebooks. The excitation variances of speech and noise are determined through the optimization of a criterion that finds the best fit between the noisy observation and the model represented by the two codebooks. The optimal spectral shapes and variances are used in a Wiener filter to obtain an estimate of clean speech. The method uses both a-priori and estimated noise information to perform well in stationary as well as non-stationary noise environments. The high computational complexity resulting from a full search of joint speech and noise codebooks is avoided through an iterative optimization procedure. Experiments indicate that the method significantly outperforms conventional enhancement techniques, especially for non-stationary noise.

Full Paper

Bibliographic reference.  Srinivasan, Sriram / Samuelsson, Jonas / Kleijn, W. Bastiaan (2003): "Speech enhancement using a-priori information", In EUROSPEECH-2003, 1405-1408.