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runngezhang's Projects

alac icon alac

The Apple Lossless Audio Codec (ALAC) is a lossless audio codec developed by Apple and deployed on all of its platforms and devices.

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

algorithms icon algorithms

Assignments of courses and demos of some useful algorithms

alimeeting icon alimeeting

The project is associated with the recently-launched ICASSP 2022 Multi-channel Multi-party Meeting Transcription Challenge (M2MeT) to provide participants with baseline systems for speech recognition and speaker diarization in conference scenario.

alta icon alta

A complete training recipe for kaldi-based Automatic Lyrics Transcription.

am_fm_modspec icon am_fm_modspec

contains some code for feature extraction useful in: 1) speaker recognition and 2) whispered speech detection

ambiscaper icon ambiscaper

Ambiscaper: a tool for automatic dataset generation and annotation of reverberant Ambisonics audio. Originally forked from http://github.com/justinsalamon/scaper

amtoolbox icon amtoolbox

Mirror of the Auditory Modelling Toolbox http://amtoolbox.sourceforge.net/

anf-generator icon anf-generator

Generating non-stationary multi-sensor signals under a spatial coherence constraint

anyrtc-rtmp-opensource icon anyrtc-rtmp-opensource

RTMP 推流器,RTMP(HLS)秒开播放器,直播点播,跨平台(Win,IOS,Android)开源代码

aoapc-book icon aoapc-book

《算法竞赛入门经典》例题习题代码

apc-snr icon apc-snr

Implementation of "A Deep Learning Loss Function based on Auditory Power Compression for Speech Enhancement" by pytorch

aplawdw icon aplawdw

Glottal closure instant reference markings for APLAWD

apsrr-2016 icon apsrr-2016

Audio Processing Seminar 2016: Reproducible Research

ar icon ar

Autoregressive process modeling tools in header-only C++

arae icon arae

Code for the paper "Adversarially Regularized Autoencoders for Generating Discrete Structures" by Zhao, Kim, Zhang, Rush and LeCun

arap icon arap

This is a direct implementation of Igarashi's Siggraph 05 paper "As-rigid-as-possible shape manipulation"

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