Robust Multi-channel Speech Recognition using Frequency Aligned Network
Table 1: Word Error Rate Reduction relative to Raw-1ch model by SNR level
['Systems', 'Split', '[BOLD] SNR ≤ 5dB Set1 noPB', '[BOLD] SNR ≤ 5dB Set1 PB', '[BOLD] SNR ≤ 5dB Set2 PB', '[BOLD] SNR ≤ 5dB Total', '[BOLD] 5dB < SNR ≤ 15dB Set1 noPB', '[BOLD] 5dB < SNR ≤ 15dB Set1 PB', '[BOLD] 5dB < SNR ≤ 15dB Set2 PB', '[BOLD] 5dB < SNR ≤ 15dB Total', '[BOLD] 15dB < SNR Set1 noPB', '[BOLD] 15dB < SNR Set1 PB', '[BOLD] 15dB < SNR Set2 PB', '[BOLD] 15dB < SNR Total']
The hyperparameters (e.g. number of filters for FAN) were optimized on dev set and finally evaluated on test split. ‘noPB’ indicates the subset of dataset where playback echo was not present and ‘PB’ represents the subset of utterances recorded in the presence of playback echo. Performance on Set2 and combined Set1+2 PB total (for utterances with playback echo) is also shown.