Pinned Repositories
DSP-RTL-Lib
RTL Verilog library for various DSP modules
Accelerating-CNN-with-FPGA
This project accelerates CNN computation with the help of FPGA, for more than 50x speed-up compared with CPU.
acoustic-features
Acoustic features (MFSCs and MFCCs) for edge AI
acoustic-interference-cancellation
acoustic interference (echo) cancellation project in summer internship
AEC-Challenge
AEC Challenge
asteroid
The PyTorch-based audio source separation toolkit for researchers
autodsp
Train custom adaptive filter optimizers without hand tuning or extra labels.
CNN-FPGA
Implementation of CNN on ZYNQ FPGA to classify handwritten numbers using MNIST database
Conv-TasNet
A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).
Convolutional-Neural-Network
Implementation of CNN using Verilog
handle787's Repositories
handle787/py-webrtcvad
Python interface to the WebRTC Voice Activity Detector
handle787/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
handle787/VoiceprintRecognition-Pytorch
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
handle787/room-impulse-responses
A list of publicly available room impulse response datasets and scripts to download them.
handle787/demucs
Code for the paper Hybrid Spectrogram and Waveform Source Separation
handle787/asteroid
The PyTorch-based audio source separation toolkit for researchers
handle787/DeepFilterNet
Noise supression using deep filtering
handle787/tutorials
PyTorch tutorials.
handle787/spleeter
Deezer source separation library including pretrained models.
handle787/SpeechAlgorithms
Speech Algorithms
handle787/gpuRIR
Python library for Room Impulse Response (RIR) simulation with GPU acceleration
handle787/GNMF-CGG-WPE
a speech dereverberation algorithm
handle787/pysepm
Python implementation of performance metrics in Loizou's Speech Enhancement book
handle787/deepvqe
An unofficial implementation of DeepVQE proposed by Microsoft Corp.
handle787/e2e_dnn_ad_control_for_lin_aec
End-To-End Deep Learning-based Adaptation Control for Linear Acoustic Echo Cancellation
handle787/CRUSE
a lightweight network for monaural speech enhancement
handle787/AEC-Challenge
AEC Challenge
handle787/acoustic-features
Acoustic features (MFSCs and MFCCs) for edge AI
handle787/DTLN
Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.
handle787/Simple-Voice-Activity-Detector-using-MFCC-based-on-FPGA-Kintex
Voice Activity Detector based on MFCC features and DNN model
handle787/tinyrecurrentunet
Real-Time De-noising and De-reverbing with Tiny Recurrent UNet
handle787/GRU-LSTM-Verliog
handle787/Conv-TasNet
A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).
handle787/Cross3D
Code repository for the paper Robust Sound Source Tracking Using SRP-PHAT and 3D Convolutional Neural Networks
handle787/MTFAA-Net
An unofficial non-causal Tensorflow implementation of "Multi-Scale Temporal Frequency Convolutional Network With Axial Attention for Speech Enhancement"
handle787/SpeechEmotionAndPeopleAnalyse
用CASIA database数据集做的，做的语音情感识别和语音识人的练习
handle787/FRCRN
handle787/Wave-U-Net-for-Speech-Enhancement
Implement Wave-U-Net by PyTorch, and migrate it to the speech enhancement.
handle787/DNN-based_source_separation
A PyTorch implementation of DNN-based source separation.
handle787/DSP-RTL-Lib
RTL Verilog library for various DSP modules