A faster cmsis nn implementation optimized for ds-cnn architecture.

An Open Source Deep Learning Inference Engine Based on FPGA

a lightweight speech processing toolkit based on Pytorch and (Py)Kaldi

RT-Thread is an open source IoT operating system.

PyTorch CTC Decoder bindings

基于 vue2 + vuex 构建一个具有 45 个页面的大型单页面应用

中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、…

基于STM32的孤立词语音识别

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

Implementation of Neural PLDA (NPLDA) model (A discriminative backend for Speaker Verification)

Author's repository for reproducing RawNet2 with PyTorch and RawNet with PyTorch and Keras.

In defence of metric learning for speaker recognition

CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices

Mobilenet v1 trained on Imagenet for STM32 using extended CMSIS-NN with INT-Q quantization support

Simple DNN based Voice Activity Detection (VAD) using Pytorch

This is sample python code to help understanding steps of Mel Cepstral feature extraction, as used in Automatic Speech Recognition (ASR), Automatic Speaker Verification and Machine Learning.

End-to-End Speech Processing Toolkit

所有基础数据结构和算法的纯C语言实现，如各自排序、链表、栈、队列、各种树以及应用、图算法、字符串匹配算法、回溯、并查集等，献丑了

镜像：https://coding.net/u/scaffrey/p/hosts/git

Share some recent speaker recognition papers and their implementations.

A Python wrapper for Kaldi

Convert play speed of audio & video files by ffmpeg

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding a…

SincNet is a neural architecture for efficiently processing raw audio samples.

Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning

Facebook AI Research's Automatic Speech Recognition Toolkit

Mixing an audio file with a noise file at any Signal-to-Noise Ratio (SNR)