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CleanMel - GitHub Overview 🚀 CleanMel enhances logMel spectrograms for improved speech quality and ASR performance Outputs compatible with: 🎙️ Vocoders for enhanced waveforms 🤖 ASR systems for transcription
Research | Audio Signal and Information Processing Lab In this work, we propose CleanMel, a single-channel Mel-spectrogram denoising and dereverberation network for improving both speech quality and automatic speech recognition (ASR) performance
README. md · WestlakeAudioLab CleanMel at main - Hugging Face CleanMel is a single-channel Mel-spectrogram denoising and dereverberation network designed to improve both speech quality and automatic speech recognition (ASR) performance It takes noisy and reverberant microphone recordings as input and predicts the corresponding clean Mel-spectrogram
CleanMel: Mel-Spectrogram Enhancement for Improving Both Speech Quality . . . To seamlessly integrate the enhanced logMel-spectrogram into one ASR model, CleanMel adopts identical configurations to the target ASR model Training CleanMel is not very costly, so it can be easily re-trained for a new ASR system, especially for those large-scale or deployed ASR systems
Research-李晓飞实验室 - Westlake In this work, we propose CleanMel, a single-channel Mel-spectrogram denoising and dereverberation network for improving both speech quality and automatic speech recognition (ASR) performance