Transcribe and translate multilingual audio to text using openai-whisper.
npx skills add https://github.com/nelohenriq/hermes-agent-plus --skill whisper-nelohenriq
Please help me install this Agent Skill. Skill: whisper Source: https://github.com/nelohenriq/hermes-agent-plus/tree/main/skills/mlops/models/whisper Command: npx skills add https://github.com/nelohenriq/hermes-agent-plus --skill whisper-nelohenriq
Transcribes audio into text across 99 languages with language identification and optional translation, enabling accessible, searchable content.
Install Whisper and run a quick transcription on an audio file to see results.
High-intent search queries and answers about installing and using this skill.
To transcribe audio to text in multiple languages, you can use speech recognition models like Whisper to automatically identify the spoken language and convert audio files into searchable text across 99 supported languages.
Yes, speech to English translation can be performed during audio transcription. The process identifies the original spoken language and provides optional translation to English alongside the text output for media localization needs.
A GPU is not strictly required for multilingual speech recognition but is recommended for best performance. Optional GPU acceleration significantly speeds up audio processing, especially when using larger model sizes for higher accuracy.
The best way to generate meeting notes from audio recordings is through automated speech-to-text transcription. This converts spoken discussions into searchable text, enabling accessible documentation and easy review of podcast or meeting workflows.
To balance speed and accuracy when transcribing podcasts, select between different AI model sizes ranging from tiny to large. Smaller models process audio faster, while larger models provide higher transcription accuracy for offline or cloud environments.
Yangel-hideTranscribe and translate multilingual audio into text using OpenAI Whisper.
hmzainjamilConvert audio and video recordings into transcripts, subtitles, and meeting notes.
lvhuanidTranscribe spoken audio into written text using the z-ai-web-dev-sdk.
math-incTranscribe audio into text using Whisper multilingual speech recognition models.
