windforestfiremountain

windforestfiremountain's Stars

• 2noise/ChatTTS

  A generative speech model for daily dialogue.

  Language:Python32.9k1885753.6k

• speechbrain/speechbrain

  A PyTorch-based Speech Toolkit

  Language:Python9k1341.1k1.4k

• FunAudioLLM/CosyVoice

  Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.

  Language:Python6.8k63567725

• gpt-omni/mini-omni

  open-source multimodal large language model that can hear, talk while thinking. Featuring real-time end-to-end speech input and streaming audio output conversational capabilities.

  Language:Python3.2k98118286

• r9y9/wavenet_vocoder

  WaveNet vocoder

  Language:Python2.3k96193502

• LCAV/pyroomacoustics

  Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios.

  Language:Python1.5k40239433

• BytedanceSpeech/seed-tts-eval

  Language:Python1.1k1315106

• yeyupiaoling/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

  Language:Python8421069126

• facebookresearch/WavAugment

  A library for speech data augmentation in time-domain

  Language:Python653251758

• OlaWod/FreeVC

  FreeVC: Towards High-Quality Text-Free One-Shot Voice Conversion

  Language:Python6061988111

• HarryVolek/PyTorch_Speaker_Verification

  PyTorch implementation of "Generalized End-to-End Loss for Speaker Verification" by Wan, Li et al.

  Language:Python5781974164

• schmiph2/pysepm

  Python implementation of performance metrics in Loizou's Speech Enhancement book

  Language:Python39491287

• LSimon95/megatts2

  Unoffical implementation of Megatts2

  Language:Python270222035

• tarepan/SpeechMOS

  Easy-to-Use Speech MOS predictors

  Language:Python23571516

• yistLin/FragmentVC

  Any-to-any voice conversion by end-to-end extracting and fusing fine-grained voice fragments with attention

  Language:Python202132738

• sarulab-speech/UTMOSv2

  UTokyo-SaruLab MOS Prediction System

  Language:Python105558

• unilight/s3prl-vc

  S3PRL-VC: A Voice Conversion Toolkit based on S3PRL

  Language:Python973412

• audiolabs/rir-generator

  Language:Python775115

• yistLin/universal-vocoder

  A PyTorch implementation of the universal neural vocoder

  Language:Python67439

• XiangLi2022/CM-TTS

  [Findings of NAACL 2024] Source code of paper CM-TTS: Enhancing Real Time Text-to-Speech Synthesis Efficiency through Weighted Samplers and Consistency Models

  Language:Python62433

• YuanGongND/python-compute-eer

  Simple Python script to compute equal error rate (EER) for machine learning model evaluation.

  Language:Python39135

• OlaWod/PitchVC

  PitchVC: Pitch Conditioned Any-to-Many Voice Conversion

  Language:Python34544

• theshi-1128/llm-defense

  An easy-to-use Python framework to defend against jailbreak prompts.

  Language:Python160

• SandyPanda-MLDL/-Evaluation-Metrics-Used-For-The-Performance-Evaluation-of-Voice-Conversion-VC-Models

  Evaluation Metrics Used For The Performance Evaluation of Voice Conversion (VC) Models

  Language:Jupyter Notebook12112

• Edresson/Speech2Phone

  Speech2Phone: A Multilingual and Text Independent Speaker Identification Model

  Language:Jupyter Notebook9301

• daved01/Adversarial_Examples

  Review and analysis of selected adversarial attacks. We implement common attack methods and evaluate them with a GoogleNet network on ImageNet like data.

  Language:Jupyter Notebook3100

• gino0950150/RW_VoiceShield

  Language:Python110

• MaxMax2016/DeepSpeaker_RawNet_GE2E

  分别在VCTK、AISHELL1 和 VoxCeleb1 三个标准公开数据集上对三种端到端声纹模型框架（Deep Speaker, RawNet, GE2E）进行实验比较。

  Language:Python100

• VoicePrivacy/Adeversarial-Speech-with-YourTTS

  Language:HTML110

• ztMotaLee/previous_homepage

  Baiang Li's homepage.

  Language:HTML10