Pinned Repositories
MLDS_HW2
dedemomo
dedemomo
DeepNone
None
denoiser
Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.
docs
TensorFlow documentation
seq2seq-elvc
seq2seq ELVC demo
ymchiQQ.github.io
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ymchiQQ's Repositories
ymchiQQ/DeepNone
None
ymchiQQ/seq2seq-elvc
seq2seq ELVC demo
ymchiQQ/dedemomo
dedemomo
ymchiQQ/denoiser
Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.
ymchiQQ/docs
TensorFlow documentation
ymchiQQ/ymchiQQ.github.io
A beautiful, simple, clean, and responsive Jekyll theme for academics