FaSNet: Low-Latency Adaptive Beamforming for Multi-Microphone Audio Processing
FaSNet: Low-Latency Adaptive Beamforming for Multi-Microphone Audio Processing
Beamforming has been extensively investigated for multi-channel audio processing tasks. Recently, learning-based beamforming methods, sometimes called neural beamformers, have achieved significant improvements in both signal quality (e.g. signal-to-noise ratio (SNR)) and speech recognition (e.g. word error rate (WER)). Such systems are generally non-causal and require a large context for robust …