Audio
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1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
★ 62,3k estrellasMIT
Ver la guía →MockingBird es un proyecto de audio de código abierto de babysor (babysor/MockingBird en GitHub). Tiene 36.900 estrellas en GitHub y 5.173 bifurcaciones, se publica bajo la licencia Unknown y se actualizó por última vez en GitHub el 3 de marzo de 2026.
🚀Clone a voice in 5 seconds to generate arbitrary speech in real-time
Transcription, synthesis, voice changing, or editing — each tool here majors in one.
Binaries, pip packages, or Docker; models download on first run for AI tools.
Drop in a recording or type what you want spoken.
WAV/MP3/OGG outputs drop straight into editors or apps.
Neural models do the heavy lifting behind a simple interface.
High-quality text-to-speech voices built in.
Tell speakers apart in meetings and interviews automatically.
Clone a voice from a short sample for narration and dubbing.
Whisper-grade transcription and natural neural voices, free.
Many run fully on-device — nothing you say leaves the machine.
Download the source and move into the project folder.
git clone https://github.com/babysor/MockingBird.git
cd MockingBirdEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at babysor/MockingBird with 5,173 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Licensed under Unknown — check the repo for commercial-use terms.
Whisper-class models rival paid services on clear audio; noisy recordings need cleanup first.
Dozens; English is strongest, major world languages are solid.
Most of these run fully offline after the model download.
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recogni…
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
Clone a voice from 5 seconds of audio and generate arbitrary speech in real time
MARS5 speech model from CAMB.AI — clone a voice from 5 seconds of audio with striking prosody
MOSS-TTS family: open text-to-speech models for voice cloning, dialogue, voice design, and real-time agents
Los demás proyectos de Audio con más estrellas del catálogo de LibreAI: la lista realista de alternativas si MockingBird no es lo que buscas.
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++
Proyectos de Audio cercanos en el catálogo, los más próximos en estrellas a MockingBird: sigue explorando a ambos lados.
Instant voice cloning from MIT and MyShell — clone a voice from a short reference clip
Fish Speech — Fish Audio's expressive open text-to-speech and voice cloning: SOTA-quality TTS you can self-host, under the Fish Audio Community License (check terms)
VoxCPM2: tokenizer-free TTS for multilingual speech, creative voice design and true-to-life cloning
Chatterbox — Resemble AI's open-source TTS family: expressive text-to-speech and voice cloning, multilingual V3, low-latency Turbo and tiny Nano models, MIT
Easily train a good VC model with voice data <= 10 mins!
Faster Whisper transcription with CTranslate2
Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.