# Tools

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Resources for DevOps / SRE or ML / AI or Data analysis, Tagged `speech`: 10 items.

> - DevOps / SRE: Deployment, monitoring, cloud resources and reliability.
> - ML / AI: Model training, evaluation and LLM application development.
> - Data analysis: Querying, statistical analysis, reporting and visualization.

- [Whisper](https://hebbmind.com/cli/whisper.md): [CLI] OpenAI's open-source general-purpose speech recognition model. The whisper command transcribes many languages, translates foreign speech into English and writes subtitle files. Needs FFmpeg; faster with a GPU.
- [whisper.cpp](https://hebbmind.com/cli/whisper-cpp.md): [CLI] C/C++ port of OpenAI's Whisper speech recognition model that transcribes audio offline and outputs subtitles. Runs on CPU, with Apple Silicon and various GPU acceleration. Download a ggml-format model first.
- [FunASR](https://hebbmind.com/cli/funasr.md): [CLI] Industrial-grade open-source speech recognition toolkit from Alibaba's ModelScope, with an agent-friendly funasr command that turns audio into text, JSON or SRT subtitles in one step, with speaker diarization and timestamps. Strong on Chinese. Requires PyTorch.
- [F5-TTS](https://hebbmind.com/cli/f5-tts.md): [CLI] Open-source zero-shot TTS via f5-tts_infer-cli: from a few seconds of reference audio it reads Chinese or English text in the same voice, handy for lessons and videos. Needs Python, PyTorch and FFmpeg, ideally a GPU. Pretrained models are non-commercial; get consent before cloning a voice.
- [MLX-Audio](https://hebbmind.com/cli/mlx-audio.md): [CLI] Offline speech toolkit for Apple Silicon Macs: CLI text-to-speech (including Chinese and voice cloning) and speech-to-text, for voicing lessons and explainer videos or transcribing lectures and interviews, with data staying local. Needs an M-series Mac and Python 3.10+; MP3 export needs ffmpeg.
- [Gemini Skills](https://hebbmind.com/skill/gemini-skills.md): [Skill] Gemini API development skills: gemini-api-dev (core API and SDKs), gemini-live-api-dev (real-time bidirectional audio/video streaming) and gemini-omni-flash-api (Omni video generation and editing), filling in APIs released after model training cutoffs. Maintained by Google's Gemini team.
- [MiniMax CLI (mmx)](https://hebbmind.com/cli/minimax-ai-cli.md): [CLI] MiniMax's official CLI, built for agents: chat with MiniMax models from the terminal and generate images, video and speech, plus speech transcription, image understanding and web search. Works with the international platform. Requires a MiniMax Token Plan subscription.
- [Pixelle MCP](https://hebbmind.com/mcp/pixelle-mcp.md): [MCP] Turns ComfyUI workflows into MCP tools with no code, covering generation and conversion across text, image, speech and video; works with local ComfyUI or RunningHub in the cloud. Start the server with uvx pixelle and configure an LLM first.
- [ElevenLabs Skills](https://hebbmind.com/skill/elevenlabs-skills.md): [Skill] Official ElevenLabs skills: text to speech, speech to text, sound effects and music generation, voice changing, vocal isolation, multilingual dubbing and building voice agents. Needs an ElevenLabs API key.
- [Genesys Cloud MCP Server](https://hebbmind.com/mcp/genesys-cloud-mcp-server.md): [MCP] Community-built MCP for the Genesys Cloud contact center: supervisors and QA staff can check queue volumes, sample conversations, and read call quality, sentiment, topics and transcripts. Needs an OAuth client in your Genesys Cloud org with per-tool permissions, and Node.js. Still in development.