Transcribe audio in 99 languages and translate speech to English using OpenAI's Whisper model.
npx skills add https://github.com/zhuangbiaowei/smart_bot --skill whisper-zhuangbiaowei
Please help me install this Agent Skill. Skill: whisper Source: https://github.com/zhuangbiaowei/smart_bot/tree/main/skills/whisper Command: npx skills add https://github.com/zhuangbiaowei/smart_bot --skill whisper-zhuangbiaowei
This Skill automates the process of converting audio into text, enabling efficient transcription, translation, and analysis of spoken content.
Use the whisper skill to transcribe the attached audio file 'meeting.mp3'.
High-intent search queries and answers about installing and using this skill.
To transcribe a multilingual podcast, this Skill uses OpenAI's Whisper model to convert spoken audio into accurate text, supporting transcription across 99 different languages.
Yes, you can translate spoken audio directly into English text. The Skill leverages the Whisper model to process non-English segments and automatically generate English translations.
Audio transcription works with mp3 files and other formats. The Skill uses ffmpeg for audio processing, ensuring robust speech recognition and translation across various input types.
Yes, ffmpeg is required for audio processing. Along with openai-whisper, transformers, and torch, it handles the underlying audio decoding necessary for multilingual transcription.
The best way to handle multilingual speech recognition is using Whisper. It offers various model sizes to balance speed and accuracy when transcribing audio in 99 languages.
Transcription speed varies based on the Whisper model size chosen. The Skill supports multiple model sizes, allowing users to select the optimal balance of processing speed and accuracy.
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