Transcribe spoken audio into timestamped text across 99 languages.
npx skills add https://github.com/pmcdowall/hermes-skills --skill whisper-pmcdowall
Please help me install this Agent Skill. Skill: whisper Source: https://github.com/pmcdowall/hermes-skills/tree/main/mlops/models/whisper Command: npx skills add https://github.com/pmcdowall/hermes-skills --skill whisper-pmcdowall
This Skill solves the challenge of converting speech recordings into accurate text by providing robust multilingual automatic speech recognition for audio content.
Use the whisper skill to transcribe the attached audio file and return the text with timestamps.
High-intent search queries and answers about installing and using this skill.
To transcribe multilingual audio into text, you need speech recognition processing that identifies spoken languages and converts audio recordings into timestamped text segments. This handles podcast transcription and meeting documentation by applying automatic speech recognition workflows.
Yes, translating non-English speech into English text during transcription is supported. The speech-to-text process identifies spoken languages and translates the audio content directly into English as part of the multilingual transcription workflow.
Multilingual speech recognition works for video captioning podcasts by processing audio tracks into timestamped segments. This automatic speech recognition supports 99 languages, making it suitable for transcribing technical discussions and interviews into searchable text.
Getting timestamped segments for meeting documentation requires running speech-to-text model execution on your audio. The transcription process automatically segments spoken audio into text with corresponding timestamps for accurate documentation and analysis.
Limitations of automatic speech recognition for audio processing depend on configurable model sizes and GPU acceleration availability. Processing accuracy can vary across 99 supported languages, and complex audio translation workflows may require specific hardware support.
psd401Generate speech audio with MLX acceleration and the Kokoro-82M model on Apple Silicon.
twjarviszyra-webTranscribe spoken audio into text with timestamps and optional English translation.
ragnarokhaaTranscribe spoken audio into text using OpenAI's Whisper model.
zhuangbiaoweiTranscribe audio in 99 languages and translate speech to English using OpenAI's Whisper model.
