Authors: Scott Wisdom*, Thomas Powers*, Les Atlas*, and James Pitton† *
*Electrical Engineering Department, University of Washington
† Applied Physics Lab, University of Washington
Here are a few demos of our submission to the 2014 REVERB challenge, where the goal is to dereverberate speech and remove background noise.
For SimData utterances, clean speech is convolved with a room impulse response (RIR) measured using a 8-channel circular microphone array with a 20cm diameter. Background noise is artificially added. Our algorithm takes advantage of all 8 channels to perform dereverberation and noise reduction.
| Original (noisy and reverberant) | Enhanced |
|---|---|
| Female 1 | Female 1 |
| Male 1 | Male 1 |
| Female 2 | Female 2 |
| Male 2 | Male 2 |
For RealData, utterances are read from prompts in a reverberant room and recorded by an 8-channel circular microphone array with a 20cm diameter. Again, our algorithm takes advantage of all 8 channels to perform dereverberation and noise reduction.
| Original (noisy and reverberant) | Enhanced |
|---|---|
| Male 1 | Male 1 |
| Male 2 | Male 2 |
| Female 1 | Female 1 |