Transcribe and translate audio files into text using OpenAI Whisper.
npx skills add https://github.com/icyzh/hermes-web --skill whisper-icyzh
Please help me install this Agent Skill. Skill: whisper Source: https://github.com/icyzh/hermes-web/tree/main/optional-skills/mlops/whisper Command: npx skills add https://github.com/icyzh/hermes-web --skill whisper-icyzh
This skill solves the challenge of converting spoken audio into accurate, timestamped text across 99 different languages, eliminating the need for manual transcription or expensive third-party services.
Use the whisper skill to transcribe the audio file named meeting_recording.mp3 and save the output as a text file.
High-intent search queries and answers about installing and using this skill.
Transcribe audio files into text by loading the Whisper model to process local speech-to-text tasks. Provide an audio file like an mp3, and the model outputs timestamped multilingual text.
Whisper translates non-English audio directly into English text during the speech-to-text process. It automatically detects the spoken language and outputs the translated English transcription.
Local speech-to-text transcription requires Python 3.8-3.11, ffmpeg, and the openai-whisper library installed. These dependencies handle audio processing and model execution for accurate multilingual transcription.
Generate subtitles from podcast recordings by processing the audio files through the Whisper model. This multilingual speech recognition approach transcribes the spoken content into timestamped text suitable for subtitle generation.
Whisper speech recognition supports meeting documentation by transcribing meeting recordings into searchable text. It accurately processes multilingual audio to create structured text outputs and meeting summaries.
Multilingual speech recognition supports transcription across 99 different languages using the Whisper model. It handles diverse audio files for high-accuracy multilingual speech processing and translation.
AissenLiuTranscribe audio into text across 99 languages with English translation.
hmzainjamilConvert audio and video recordings into transcripts, subtitles, and meeting notes.
NITISH-gitbitTranscribe spoken language to text using OpenAI's Whisper model.
augustsclTranscribe audio files into text using local speech recognition models.
