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02456-deep-learning-with-pytorch

Exercises and supplementary material for the deep learning course 02456 using PyTorch.

3d-convolutional-speaker-recognition

:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification

554-final

micro speech go_stop

a-convolutional-recurrent-neural-network-for-real-time-speech-enhancement

A minimum unofficial implementation of the A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement (CRN) using PyTorch.

algorithmspart-i-coursera

My programming assignments to the Algorithms, Part I course by Kevin Wayne and Robert Sedgewick of the Princeton University.

am-mobilenet1d

The Additive Margin MobileNet1D is a new light weight deep learning model for Speaker Recognition which is based on the MobileNetV2 architecture and the Additive Margin Softmax (AM-Softmax) loss function.)

amicorpusxml

Extracts Transcript and Summary (Abstractive and Extractive) from the AMI Meeting Corpus

apsrr-2016

Audio Processing Seminar 2016: Reproducible Research

asteroid

The PyTorch-based audio source separation toolkit for researchers || Pretrained models available

asv-subtools

An Open Source Tools for Speaker Recognition

audio-snr

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

audio_subset

audioset-tutorial

Tutorials and examples for Google AudioSet

audiosetdl

Scripts for downloading AudioSet

aware-client

AWARE's Android client. This application allows researchers to easily collect sensor/plugin data locally or remotely to an AWARE server instance.

awesome

😎 Awesome lists about all kinds of interesting topics

awesome-diarization

A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.

awesome-mental-health

A curated list of awesome articles, websites and resources about mental health in the software industry.

awesome-python-scientific-audio

Curated list of python software and packages related to scientific research in audio

awesome-system-for-machine-learning

A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.

awesome_ml_for_mental_health

A curated list of awesome work on machine learning for mental health applications. Includes topics broadly captured by affective computing. Facial expressions, speech analysis, emotion prediction, depression, interactions, psychiatry etc. etc.

backends-for-sre19

This repository will illustrate the use of some different backends on NIST SRE 2019.

coral

Correlation Alignment for Domain Adaptation

countnet

Deep Neural Network for Speaker Count Estimation

coursera-algorithms-part1

📖Coursera Princeton Algorithms Part 1

crnn-audio-classification

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

crowdpp

Crowd++: An Android Speaker Counting Service

data-augmentation-review

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.

data-science-interview-resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

databook_matlab

Matlab files with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz http://www.databookuw.com/