Knowledge Distillation-Based Training of Speech Enhancement for Noise-Robust Automatic Speech Recognition
Geon Woo Lee,
Hong Kook Kim,
Duk-Jo Kong
Abstract:This paper addresses the training issues associated with neural network-based automatic speech recognition (ASR) under noise conditions. In particular, conventional joint training approaches for a pipeline comprising speech enhancement (SE) and end-to-end ASR model surfer from a conflicting problem and a frame mismatched alignment problem because of different goals and different frame structures for ASR and SE. To mitigate such problems, a knowledge distillation (KD)-based training approach is proposed by inte… Show more
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