Popular GitHub Repositories for Audio Labeling

:robot: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. Features: Generate Text, Audio, Video, Images, Voice Cloning, Distributed, P2P inference

Instant voice cloning by MIT and MyShell. Audio foundation model.

Easily train a good VC model with voice data <= 10 mins!

Cross-platform, customizable ML solutions for live and streaming media.

? Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.

SoftVC VITS Singing Voice Conversion

Deezer source separation library including pretrained models.

GUI for a Vocal Remover that uses Deep Neural Networks.

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

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

Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

[CVPR 2023] SadTalker：Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation

Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)

Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

A PyTorch-based Speech Toolkit

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

Open source annotation tool for machine learning practitioners.