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Easy to use Beamformers for multi-channel speech separation/enhancement
A Chinese Deep Speech Recognition System 包括基于深度学习的声学模型和基于深度学习的语言模型
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.
Magenta: Music and Art Generation with Machine Intelligence
A Pytorch implementation of Onsets and Frames (Hawthorne 2018)
deep learning based speech enhancement using keras or pytorch, make it easy to use
Speech Enhancement Generative Adversarial Network in TensorFlow
A neural network for end-to-end speech denoising
Deep learning for audio denoising
Speech Enhancement based on DNN (Spectral-Mapping, TF-Masking), DNN-NMF, NMF
Code of my WeChat Offical Account
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.