Loading...
Please wait, while we are loading the content...
Similar Documents
Robust variational speech separation using fewer microphones than.
| Content Provider | CiteSeerX |
|---|---|
| Author | Rennie, Speakers Steven Rennie, Steven Aarabi, Parham Kristjansson, Trausti Frey, Brendan J. Achan, Kannan |
| Abstract | A variational inference algorithm for robust speech separation, capable of recovering the underlying speech sources even in the case of more sources than microphone observations, is presented. The algorithm is based upon an generative probabilistic model that fuses time-delay of arrival (TDOA) information with prior information about the speakers and application, to produce an optimal estimate of the underlying speech sources. Simulation results are presented for the case of two, three and four underlying sources and two microphones observations corrupted by noise. The resulting SNR gains (24dB with two sources, 15dB with three sources, and 9dB with four sources) are significantly higher than previous speech separation techniques. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Microphone Observation Speech Source Snr Gain Previous Speech Separation Technique Simulation Result Generative Probabilistic Model Robust Speech Separation Optimal Estimate Variational Inference Algorithm Prior Information Underlying Source |
| Content Type | Text |
