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tinyspline

ANSI C library for NURBS, B-Splines, and Bézier curves with interfaces for C++, C#, D, Go, Java, Lua, Octave, PHP, Python, R, and Ruby

toolbox-oop

Object Oriented implementation for the Array Toolbox. DSP for beamforming and other applications with C++, using Armadillo and C++.

torch-audiomentations

Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.

torch-multi-head-attention

Multi-head attention in PyTorch

torch2tflite

PyTorch to TensorFlow Lite converter

torchlibrosa

torchsubband

Pytorch implementation of subband decomposition

tqdm

A Fast, Extensible Progress Bar for Python and CLI

training-targets-for-speech-separation-neural-networks

This is a project on working/resolving the speech separation problem using supervised learning on various training targets, building machine learning model using feed forward neural networks. Implementing metrics like STOI and PESQ for speech quality and interpretability metrics.

transcoder

Public release of the TransCoder research project https://arxiv.org/pdf/2006.03511.pdf

transformer-cnn-emotion-recognition

Speech Emotion Classification with novel Parallel CNN-Transformer model built with PyTorch, plus thorough explanations of CNNs, Transformers, and everything in between

two-dimensional-self-attention-based-speech-enhancement

A 2-dimensional Self-attention-based Solution with Cooperative Gated Convolutional Modules for Speech Enhancement

two-stage-polyphonic-sound-event-detection-and-localization

A two-stage polyphonic sound event detection and localization method for both SED and DOA.

u-finger-a-fingerprint-denosing-network

U-Finger:Multi Scale Dilated Convolutional Network For Fingerprint Image Denoising

ucr_time_series_classification_deep_learning_baseline

Fully Convlutional Neural Networks for state-of-the-art time series classification

uis-rnn

This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.

unified_multilingual_dataset_of_emotional_human_utterances

A unified dataset of multilingual emotional human utterances

unsupervised_spatial_dc

Code for the paper: "Unsupervised Deep Clustering for Source Separation: Direct Learning from Mixtures using Spatial Information"

upit-for-speech-separation

Speech separation with utterance-level PIT experiments

usb_4_mic_array

ReSpeaker 4 Mic Array with builtin VAD, DOA, AEC, Beamforming & NS

vad

VAD(voice activity detection) implement and using for baidu voice recognition

vad-1

Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.

vad-2

Voice Activity Detection system (Matlab-based implementation)

vad-3

Voice Activity Detection

vad_tutorial

Simple DNN based Voice Activity Detection (VAD) using Pytorch

vade-pytorch

the reproduce of Variational Deep Embedding : A Generative Approach to Clustering Requirements by pytorch

vadnet

Real-time Voice Activity Detection in Noisy Eniviroments using Deep Neural Networks

vearch

A distributed system for embedding-based vector retrieval

vgg-downloader

Quick download script for the VGG Lipreading Datasets.

vgg16-by-arm-compute-library

Implement vgg16 model by ARM Compute Library