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Voiceprintrecognition Pytorch ⭐ 540

This project uses a variety of advanced voiceprint recognition models such as EcapaTdnn, ResNetSE, ERes2Net, CAM++, etc. It is not excluded that more models will be supported in the future. At the same time, this project also supports MelSpectrogram, Spectrogram data preprocessing methods

Wespeaker ⭐ 450

Research and Production Oriented Speaker Recognition Toolkit

Audioclassification Pytorch ⭐ 194

The Pytorch implementation of sound classification supports EcapaTdnn, PANNS, TDNN, Res2Net, ResNetSE and other models, as well as a variety of preprocessing methods.

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