10 actions in 10 pieces of software · ranked by words, meaning and measured trust · 623 ms
- asr
Transcribe audio files to text using local speech recognition. Triggers on: "转录", "transcribe", "语音转文字", "ASR", "识别音频", "把这段音频转成文字".
- asr
modelrecord10,516 downloads/month
- automatic-speech-recognition
Task: automatic-speech-recognition
- automatic-speech-recognition
modelrecord
- asr
Task: ASR
- asr
skilldaymade/claude-code-skillsrecord
- asr-transcribe-to-text
Transcribes audio or video to speaker-labeled, timestamped text, locally with MLX on Apple Silicon or remotely. Use for 转录 / 录音转文字 / 说话人分离 / 字幕, and also for preparing audio for ASR without transcribing: 转格式, 降采样到 16kHz, merging recorder segments, or compressing and speeding up audio before 飞书妙记 — e
- asr-transcribe-to-text
skillaahl/skillsrecord
- qwen-asr
Transcribe audio files using Qwen ASR. Use when the user sends voice messages and wants them converted to text.
- qwen-asr
modelrecord
- automatic-speech-recognition
Task: Automatic Speech Recognition
- automatic-speech-recognition
skillnvidia/skillsrecord
- digital-health-clinical-asr-eval
Stage 3 of Clinical ASR Flywheel. Score a NeMo manifest, produce the five-section KER leaderboard (by-ipa_source diagnostic). Not for ASR auth (/riva-asr).
- digital-health-clinical-asr-eval
skilldaymade/claude-code-skillsrecord
- stepfun-asr
Transcribes Chinese/English audio with StepFun's stepaudio-3-asr-max via its SSE endpoint (not /v1/audio/transcriptions) — one call handles long-form audio with no chunking. Use when migrating from step-asr/stepaudio-2.5-asr, or hitting the misleading "model not supported" error (actually wrong endp
- stepfun-asr
skillnvidia/skillsrecord
- digital-health-clinical-asr-setup
Stage 1 of Clinical ASR Flywheel. Use when bootstrapping a cycle: NVCF+MW disclosure, NVIDIA_API_KEY check, deps install, TTS+ASR smoke test.
- digital-health-clinical-asr-setup
- 10Asrdemo or tutorialno passport yet
MCP serverrecord
- asr_transcribe
Transcribe audio to text using Qwen3-ASR. Supports 52 languages and dialects including English, Chinese, Arabic, French, German, Japanese, Korean, and many more. If a user passes a file as an input, use the upload_file_to_gradio tool, if present, to upload the file to the gradio app and create a Gra
- asr_transcribe
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.