Research and Production Oriented Speaker Verification, Recognition and Diarization Toolkit
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Updated
Sep 25, 2024 - Python
Research and Production Oriented Speaker Verification, Recognition and Diarization Toolkit
Time delay neural network (TDNN) implementation in Pytorch using unfold method
PyTorch implementation of the Factorized TDNN (TDNN-F) from "Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks" and Kaldi
基于PaddlePaddle实现的音频分类,支持EcapaTdnn、PANNS、TDNN、Res2Net、ResNetSE等各种模型,还有多种预处理方法
Time Delayed NN implemented in pytorch
tdnn (time delay neural network) tensorflow implementation
This project partially embodies the state-of-the-art practices in speaker verification technology up until 2020, while attaining the state-of-the-art performance on the VoxCeleb1 test sets.
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