karkirowle

karkirowle's Stars

• openai/whisper

  Robust Speech Recognition via Large-Scale Weak Supervision

  Language:Python79k63609.5k

• AIGC-Audio/AudioGPT

  AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head

  Language:Python10.1k13452862

• speechbrain/speechbrain

  A PyTorch-based Speech Toolkit

  Language:Python9.6k1341.1k1.5k

• mamba-org/mamba

  The Fast Cross-Platform Package Manager

  Language:C++7.2k451.9k386

• asteroid-team/asteroid

  The PyTorch-based audio source separation toolkit for researchers

  Language:Python2.4k51224430

• julius-speech/julius

  Open-Source Large Vocabulary Continuous Speech Recognition Engine

  Language:C1.9k103159304

• dexplo/bar_chart_race

  Create animated bar chart races in Python with matplotlib

  Language:Python1.4k2574363

• kaegi/alass

  "Automatic Language-Agnostic Subtitle Synchronization"

  Language:Rust1.1k285058

• wenet-e2e/wespeaker

  Research and Production Oriented Speaker Verification, Recognition and Diarization Toolkit

  Language:Python85917142130

• NVIDIA/radtts

  Provides training, inference and voice conversion recipes for RADTTS and RADTTS++: Flow-based TTS models with Robust Alignment Learning, Diverse Synthesis, and Generative Modeling and Fine-Grained Control over of Low Dimensional (F0 and Energy) Speech Attributes.

  Language:Roff285143040

• jhpoelen/zenodo-upload

  upload big files to Zenodo using cURL, jq and bash

  Language:Shell25841239

• jxzhanggg/nonparaSeq2seqVC_code

  Implementation code of non-parallel sequence-to-sequence VC

  Language:Python249153456

• microsoft/P.808

  This is an open-source implementation of the ITU P.808 standard for "Subjective evaluation of speech quality with a crowdsourcing approach" (see https://www.itu.int/rec/T-REC-P.808/en). It uses Amazon Mechanical Turk as the crowdsourcing platform. It includes implementations for Absolute Category Rating (ACR), Degradation Category Rating (DCR), and Comparison Category Rating (CCR).

  Language:HTML214192658

• k2kobayashi/crank

  A toolkit for non-parallel voice conversion based on vector-quantized variational autoencoder

  Language:Python17192831

• talhanai/speech-nlp-datasets

  Contains links to publicly available datasets for modeling health outcomes using speech and language.

  1185122

• brentspell/torch-yin

  Yin pitch estimator in PyTorch

  Language:Python114617

• idiap/acoustic-simulator

  Implementation of audio degradation processes

  Language:Python10115236

• tarepan/VoiceConversionLab

  Collect Voice Conversion researches

  Language:TypeScript9216477

• KunZhou9646/seq2seq-EVC

  This is the implementation of our Interspeech 2021 paper: Limited data emotional voice conversion leveraging text-to-speech: two-stage sequence-to-sequence training.

  Language:Python8411416

• LeoniusChen/Attentions-in-Tacotron

  Language:Python693113

• articulatory/articulatory

  Deep Articulatory Synthesis and Inversion

  Language:Python47524

• r9y9/jsut-lab

  HTS-style full-context labels for JSUT v1.1

  46412

• nils-werner/pymushra

  pyMUSHRA is a python web application which hosts webMUSHRA experiments and collects the data with python.

  Language:Python43456

• KunZhou9646/controllable_evc_code

  This is the code for controllable EVC framework for seen and unseen emotion generation.

  Language:Python423514

• maclandrol/FisherExact

  Fisher exact test for mxn contingency table in python

  Language:Fortran3841512

• MingjieChen/LowResourceVC

  Voice conversion training with 109 speakers with limited training samples

  Language:Python35445

• 6gsn/marine

  Language:Python33452

• jdvala/zoom_audio_transcribe

  Zoom Audio Transcription offline

  Language:Python32456

• soumimaiti/speechlmscore_tool

  Language:Python29412

• stoneMo/ASVspoof

  Language:Python20412