Audio
dograh
Open source voice AI platform. Self-hosted alternative to Vapi and Retell. On Prem, BYOK across Speech to Speech or LLM/STT/TTS, with a visual workflow build…
★ 5,8 Tsd. SterneBSD-2-Clause
Anleitung ansehen →librosa ist ein Open-Source-Projekt aus der Kategorie Audio von librosa (librosa/librosa auf GitHub). Es hat 8.647 Sterne auf GitHub und 1.080 Forks, wird unter der Lizenz ISC veröffentlicht und wurde zuletzt am 29. September 2026 auf GitHub aktualisiert.
Python library for audio and music analysis
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.
Purpose-built for audio work with format support that just works.
Workflows tuned for musicians and producers, not generic audio.
Whisper-grade transcription and natural neural voices, free.
Many run fully on-device — nothing you say leaves the machine.
Open licenses let you ship voice features without per-minute API bills.
CLI and Python APIs slot into larger pipelines.
Download the source and move into the project folder.
git clone https://github.com/librosa/librosa.git
cd librosaEvery 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 librosa/librosa with 1,080 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Licensed under ISC — check the repo for commercial-use terms.
Most of these run fully offline after the model download.
Check each license — many allow it, but voice-cloning has ethical and legal boundaries.
Whisper-class models rival paid services on clear audio; noisy recordings need cleanup first.
Open source voice AI platform. Self-hosted alternative to Vapi and Retell. On Prem, BYOK across Speech to Speech or LLM/STT/TTS, with a visual workflow build…
Easily train a good VC model with voice data <= 10 mins!
🧠 Leon is your open-source personal assistant.
Suno's text-prompted generative audio model: speech, music and sound effects from text prompts
FastRTC turns any Python function into a real-time audio or video stream over WebRTC or WebSockets
A pure C++ ggml inference engine for audio models — TTS, STT, VAD, voice conversion and music.
Die anderen Projekte der Kategorie Audio mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls librosa nicht das Richtige ist.
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++
Verwandte Projekte der Kategorie Audio im Katalog, die librosa bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
End-to-End Speech Processing Toolkit
EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine
A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription.
VITS — the original end-to-end text-to-speech model: a conditional VAE with adversarial learning, in PyTorch.
Mozilla's deep-learning text-to-speech library with Tacotron, Glow-TTS and neural vocoders.
MeloTTS — multilingual text-to-speech for English, Spanish, French, Chinese, Japanese and Korean.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.