Modeling the Short Time Fourier Transform Ratio and Application to Underdetermined Audio Source Separation

This paper presents the theoretical background for the Model Based Underdetermined Source Separation presented in [5]. We show that for a given frequency band, in contrast to customary assumption, the observed Short-Time Fourier Transform (STFT) ratio coming from one source is not constant in time, but is a random variable whose distribution we have obtained. Using this distribution and the TimeFrequency (TF) “disjoint” assumption of sources, we are able to obtain promising results in separating four audio sources from two microphones in a real reverberant room.

• Type: Conference
• Year: 2009
• Where: IDA
• Authors: Dinh-Tuan Pham, Zaher El-Chami, Alexandre Guérin, Christine Servière
• Keywords: Artificial Intelligence, Customary Assumption, IDA 2009, Observed Short-time Fourier, Underdetermined Source Separation