Audio
Whisper
Robust Speech Recognition via Large-Scale Weak Supervision
★ 109,9 k étoilesMIT
Voir le guide →kubeai est un projet de audio open source, créé par kubeai-project (kubeai-project/kubeai sur GitHub). Il compte 1 272 étoiles sur GitHub et 137 forks, il est publié sous la licence Apache-2.0 et a été mis à jour pour la dernière fois sur GitHub le 1er octobre 2026.
The easiest way to serve AI models, including speech-to-text, on Kubernetes.
Deploy KubeAI into your Kubernetes cluster.
Describe the model you want to serve in a simple spec.
The autoscaler adjusts replicas to match demand.
Query it like any inference API, including STT.
Manages model lifecycles natively inside your cluster.
Serves language, vision, embedding, and speech-to-text models.
Scales inference replicas up and down with traffic.
A familiar workflow for self-hosters already using Ollama.
Built for serving ML models reliably in real deployments.
Enterprise-friendly open-source terms.
Download the source and move into the project folder.
git clone https://github.com/kubeai-project/kubeai.git
cd kubeaiEvery 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 kubeai-project/kubeai with 137 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Apache 2.0 licensed — commercial use allowed with attribution.
Yes — it is a Kubernetes operator, so a working cluster is the prerequisite.
LLMs, vision-language models, embeddings, and speech-to-text, among others.
It watches inference demand and adjusts model replicas automatically.
Robust Speech Recognition via Large-Scale Weak Supervision
Faster Whisper transcription with CTranslate2
Port of OpenAI's Whisper model in C/C++
Human-level text-to-speech through style diffusion and adversarial training with speech language models.
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text…
MOSS-TTS family: open text-to-speech models for voice cloning, dialogue, voice design, and real-time agents
Les autres projets de la catégorie Audio avec le plus d'étoiles du catalogue LibreAI — la sélection réaliste d'alternatives si kubeai ne vous convient pas.
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++
Projets de la catégorie Audio proches dans le catalogue, les plus proches en étoiles de kubeai — continuez à explorer de part et d'autre.
A book by the HardHacker Labs team chronicling how their product Podwise grew
Native Linux dictation: fast, private, and hackable speech-to-text.
Expressive TTS where emojis steer the speaking style.
Private cross-platform speech-to-text with LLM cleanup built in.
Multilingual long-form dialogue speech with zero-shot voice cloning.
Convert any file to clean Markdown for AI agents — a fast Rust MCP server.
Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.