Phoneme-Preserving Mamba-Based Frontend for Noise-Robust Automatic Speech Recognition
Speech enhancement models optimised for perceptual quality metrics such as PESQ do not necessarily improve automatic speech recognition (ASR) performance, as aggressive noise suppression can distort the phonemic cues that acoustic models rely on. We propose a time-domain speech frontend based on the Mamba selective sta...