Аудио
index-tts
IndexTTS: industrial-level, controllable zero-shot text-to-speech with voice cloning
★ 24,4 тыс. звёздNOASSERTION
Смотреть руководство →metavoice-src — проект с открытым исходным кодом из категории «Аудио» от metavoiceio (metavoiceio/metavoice-src на GitHub). У него 4 205 звёзд на GitHub и 689 форков, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 30 июля 2024.
MetaVoice-1B: a 1.2B-parameter foundation model for emotional, zero-shot text-to-speech
Confirm a GPU with at least 12 GB VRAM and Python 3.10–3.11.
Clone the repo and install with Poetry (recommended) or pip, including the pinned PyTorch build.
Bring up the UI or server service with Docker Compose for the fastest trial.
Run the interactive inference script and synthesize speech from a short reference clip.
Trained to capture rhythm and tone, not just intelligible speech.
Clone American and British voices from a 30-second reference recording.
Adapt to other languages/speakers with fine-tuning on as little as ~1 minute of data (per the project).
Designed to synthesize long passages, not only short clips.
An interactive Python inference session, plus Docker Compose services for a web UI or a server.
Training entry points for the first-stage LLM ship in the repo.
Clone the project and enter its directory.
git clone https://github.com/metavoiceio/metavoice-src.git
cd metavoice-srcInstall dependencies and the pinned PyTorch build as documented.
pipx install poetry
poetry install && poetry run pip install torch==2.2.1 torchaudio==2.2.1Start the inference session, then call tts.synthesise with your text and a reference clip.
poetry run python -i fam/llm/fast_inference.py
# then: tts.synthesise(text="Hello world", spk_ref_path="assets/bria.mp3")MetaVoice (metavoiceio; themetavoice.xyz) publishes the model and code.
The code is Apache-2.0 licensed and the weights are on Hugging Face; check the model card for any additional terms.
No — it runs locally on your GPU (12 GB+ VRAM required).
Cloud APIs trade control for convenience; MetaVoice-1B gives you a self-hosted foundation model you can fine-tune, with emotion and cloning as its headline features.
Clone the repo, `poetry install` with the pinned PyTorch, then run the interactive inference script — or `docker-compose up -d ui` for the web UI.
IndexTTS: industrial-level, controllable zero-shot text-to-speech with voice cloning
Unofficial PyTorch implementation of VALL-E, the neural codec language model for zero-shot TTS
A generative speech model built for daily dialogue — natural, conversational text-to-speech
Suno's text-prompted generative audio model: speech, music and sound effects from text prompts
Fast local speech-to-text across 16+ model families, powered by ggml.
Multilingual long-form dialogue speech with zero-shot voice cloning.
Другие проекты из категории «Аудио» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если metavoice-src вам не подходит.
利用 AI 大模型和自动化工作流，根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.
Robust Speech Recognition via Large-Scale Weak Supervision
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Clone a voice from 5 seconds of audio and generate arbitrary speech in real time
Port of OpenAI's Whisper model in C/C++
Соседние проекты из категории «Аудио» в каталоге, ближайшие по числу звёзд к metavoice-src — продолжайте изучать полку по обе стороны от него.
WhisperLive: a nearly-live OpenAI Whisper transcription server for files, mics, and streams
MOSS-TTS family: open text-to-speech models for voice cloning, dialogue, voice design, and real-time agents
MOSS-TTS-Nano: a 0.1B open multilingual speech model that clones voices and streams in real time on CPU
Converts text to speech in realtime
FastRTC turns any Python function into a real-time audio or video stream over WebRTC or WebSockets
A simple, high-quality RVC voice conversion tool focused on ease of use and performance.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.