CHiME Data Separation Based on Target Signal Cancellation and Noise Masking

The task of the CHiME challenge is to separate distant speech from noise and recognize the commands being spoken. We propose a separation approach suitable for the CHiME data that relies on the existence of a speech-only recording and assumes fixed positions of the speaker and hearer and stationary reverberant conditions. Using the clean speech segment, a… CONTINUE READING