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DoanNgocCuong
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whisper

Transcribe spoken audio in 99 languages and translate it to English.

Updated Aug 23, 2026
Search Tags:#translation#speech recognition#transcription#audio processing#multilingual#ASR
One-click install
npx skills add https://github.com/DoanNgocCuong/continuous-training-pipeline_T3_2026 --skill whisper-doanngoccuong
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: whisper
Source: https://github.com/DoanNgocCuong/continuous-training-pipeline_T3_2026/tree/main/.claude/skills/whisper
Command: npx skills add https://github.com/DoanNgocCuong/continuous-training-pipeline_T3_2026 --skill whisper-doanngoccuong

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openai-whisper, transformers, torch, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the conversion of spoken audio into written text, making audio content searchable, translatable, and easier to process.

Core Features & Use Cases

  • Multilingual Transcription: Transcribe audio in 99 different languages.
  • Translation: Translate spoken audio directly into English text.
  • Use Case: Automatically transcribe a multilingual podcast episode, generating accurate subtitles and a searchable transcript.

Quick Start

Use the whisper skill to transcribe the attached audio file 'meeting.mp3'.

Frequently Asked Questions about whisper

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I transcribe audio files into text automatically?▼

To transcribe audio into text, this skill uses OpenAI's Whisper model to automatically convert spoken audio files into searchable written transcripts.

What is the best way to translate spoken audio to English text?▼

The best way to translate spoken audio to English text is using the whisper skill, which directly translates audio from 99 languages into English written text.

Does multilingual speech recognition require installing specific libraries?▼

Yes, multilingual speech recognition requires installing the openai-whisper, transformers, and torch libraries to run the ASR models and process audio inputs.

Can I use OpenAI Whisper for transcribing podcasts in different languages?▼

Yes, you can use OpenAI Whisper for transcribing podcasts in different languages. It supports 99 languages and offers various model sizes for different performance needs.

How does multilingual speech recognition handle different model sizes?▼

Multilingual speech recognition handles different model sizes by offering various options to balance transcription accuracy and processing performance based on your hardware.

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