14 results
DSH 专属语音输入插件：点按或按住 Alt 说话、松开/再点按转文字，支持热词替换表（hot.txt）、自定义润色提示词、录音电平指示。默认本地离线识别（SenseVoice，零配置零 key、音频不出本机），自动回退浏览器 Web Speech，可选云端 ASR 与润色（复用 DSH 模型）。Voice input for DeepSeek Harness: tap or hold Alt to talk, get text in the composer — local SenseVoice by default, zero config, zero API key.
Voice input plugin for DeepSeek Harness
Voice-first session loop for DeepSeek Harness: a composer microphone button with browser/local speech-to-text (Web Speech, FunASR, whisper.cpp), a speak tool for text-to-speech replies (browser, edge-tts, piper), event announcements with mute, and speak-to-interrupt.
dsh-voice — voice notes in, spoken answers out: dictate audio that becomes user messages (transcribe), have the agent read replies aloud (speak), and leave walk-away narration on long headless runs. Local-first, plain audio files under ~/.dsh/voice/
Kiro (AWS CodeWhisperer/Q successor) provider for the DeepSeek Harness: ambient credential pickup, OAuth token refresh, and the Kiro runtime/management API
AWS Kiro (CodeWhisperer) adapter for the DeepSeek Harness LLM seam: Claude and open-weight models through one signed-in Kiro account
App-free mobile voice calls with existing DeepSeek Harness sessions
聊天框语音输入按钮 for DeepSeek Harness: 点击麦克风说话,多引擎转写(智谱 GLM-ASR-2512 / 本地 faster-whisper / Gemini / OpenAI)自动填入输入框。一个按钮,所见即所得。
Multi-platform IM gateway for DeepSeek Harness (fork of dsh-im-hub with media): Telegram voice/photo/document/video + reply handling, STT (Deepgram primary, HF Whisper fallback), outbound MEDIA: markers. Feishu/WeCom kept as-is.
开口即成文 · Speak-to-prompt for DeepSeek Harness：云端 ASR 语音识别 + 提示词优化 + 填入草稿/自动发送，跨平台 macOS / Windows。
真的爱你：本地智能视频管家 Agent Skill，说一句「真的爱你」即接管从素材分析到成片交付的完整剪辑流程
dsh-voice — turn-based voice loop for DeepSeek Harness: pluggable Qwen / MiMo / local ASR+TTS engines, agent-driven speak/listen tools and browser PTT UI, built for interviewer presets
B站视频脚本提取插件：解析链接，优先取字幕轨，无字幕用本地 whisper (large-v3-turbo) 转写，导出 SRT/TXT/JSON。跨平台（Windows/macOS/Linux）。
Voice input for DeepSeek Harness: dictation chunked by pauses and voice messages, each with its own provider fallback chain (Deepgram, Groq, HuggingFace, local whisper.cpp, plus any OpenAI-compatible API of your own).