10-of-my-most-popular-text-to-image-series-prompts-78b0897e
generate a bunch of images, then you curate the results to handpick the best ones
Automatic Speech Recognition (ASR) using Zhipu AI (BigModel) GLM-ASR model. Use when you need to transcribe audio files to text. Supports Chinese audio transcription with context prompts, custom hotwords, and multiple audio formats.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install franklu0819-lang/zhipu-asrInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Transcribe Chinese audio files to text using Zhipu AI's GLM-ASR model.
1. Get your API Key: Get a key from Zhipu AI Console
2. Set it in your environment:
export ZHIPU_API_KEY="your-key-here"
Note: The script automatically converts unsupported formats to MP3 using ffmpeg. Only WAV and MP3 are accepted by the API, but you can use any format that ffmpeg supports.
Transcribe an audio file with default settings:
bash scripts/speech_to_text.sh recording.wav
Provide previous transcription or context for better accuracy:
bash scripts/speech_to_text.sh recording.wav "这是之前的转录内容,有助于提高准确性"
Use custom vocabulary to improve recognition of specific terms:
bash scripts/speech_to_text.sh recording.mp3 "" "人名,地名,专业术语,公司名称"
Combine context and hotwords:
bash scripts/speech_to_text.sh recording.wav "会议记录片段" "张三,李四,项目名称"
Parameters:
audio_file (required): Path to audio file (.wav or .mp3)prompt (optional): Previous transcription or context text (max 8000 chars)hotwords (optional): Comma-separated list of specific terms (max 100 words)Why use context prompts:
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
Automatic Speech Recognition (ASR) using Zhipu AI (BigModel) GLM-ASR model. Transcribe Chinese audio files to text with high accuracy.
jq - JSON processorffmpeg - Audio format conversionZHIPU_API_KEY environment variable# Install dependencies (if needed)
sudo apt-get install jq ffmpeg
# Set your API key
export ZHIPU_API_KEY="your-key-here"
# Transcribe an audio file
bash scripts/speech_to_text.sh recording.wav
# With context and hotwords
bash scripts/speech_to_text.sh recording.wav "previous context" "term1,term2,term3"
franklu0819-lang
MIT
# Zhipu AI Automatic Speech Recognition (ASR) Transcribe Chinese audio files to text using Zhipu AI's GLM-ASR model. ## Setup **1. Get your API Key:** Get a key from [Zhipu AI Console](https://bigmodel.cn/usercenter/proj-mgmt/apikeys) **2. Set it in your environment:** ```bash export ZHIPU_API_KEY="your-key-here" ``` ## Supported Audio Formats - **WAV** - Recommended, best quality - **MP3** - Widely supported - **OGG** - Auto-converted to MP3 - **M4A** - Auto-converted to MP3 - **AAC** - Auto-converted to MP3 - **FLAC** - Auto-converted to MP3 - **WMA** - Auto-converted to MP3 > **Note:** The script automatically converts unsupported formats to MP3 using ffmpeg. Only WAV and MP3 are accepted by the API, but you can use any format that ffmpeg supports. ## File Constraints - **Maximum file size:** 25 MB - **Maximum duration:** 30 seconds - **Recommended sample rate:** 16000 Hz or higher - **Audio channels:** Mono or stereo ## Usage ### Basic Transcription Transcribe an audio file with default settings: ```bash bash scripts/speech_to_text.sh recording.wav ``` ### Transcription with Context Provide previous transcription or context for better accuracy: ```bash bash scripts/speech_to_text.sh recording.wav "这是之前的转录内容,有助于提高准确性" ``` ### Transcription with Hotwords Use custom vocabulary to improve recognition of specific terms: ```bash bash scripts/speech_to_text.sh recording.mp3 "" "人名,地名,专业术语,公司名称" ``` ### Full Options Combine context and hotwords: ```bash bash scripts/speech_to_text.sh recording.wav "会议记录片段" "张三,李四,项目名称" ``` **Parameters:** - `audio_file` (required): Path to audio file (.wav or .mp3) - `prompt` (optional): Previous transcription or context text (max 8000 chars) - `hotwords` (optional): Comma-separated list of specific terms (max 100 words) ## Features ### Context Prompts **Why use context prompts:** - Improves accuracy in long conversations - Helps with domain-specific terminology - Mai...
# Zhipu AI ASR Skill Automatic Speech Recognition (ASR) using Zhipu AI (BigModel) GLM-ASR model. Transcribe Chinese audio files to text with high accuracy. ## Features - 🎤 **Multiple Audio Formats**: WAV, MP3, OGG, M4A, AAC, FLAC, WMA - 🇨🇳 **Chinese Language Support**: Optimized for Mandarin Chinese - 📝 **Context Prompts**: Improve accuracy with previous transcription context - 🔥 **Hotwords**: Custom vocabulary for specific terms (names, jargon, etc.) - ⚡ **Fast Processing**: Real-time or faster transcription speed - 🔄 **Auto Format Conversion**: Automatically converts unsupported formats to MP3 ## Requirements - `jq` - JSON processor - `ffmpeg` - Audio format conversion - `ZHIPU_API_KEY` environment variable ## Quick Start ```bash # Install dependencies (if needed) sudo apt-get install jq ffmpeg # Set your API key export ZHIPU_API_KEY="your-key-here" # Transcribe an audio file bash scripts/speech_to_text.sh recording.wav # With context and hotwords bash scripts/speech_to_text.sh recording.wav "previous context" "term1,term2,term3" ``` ## File Constraints - **Max file size**: 25 MB - **Max duration**: 30 seconds - **Supported formats**: WAV (recommended), MP3 - **Other formats**: Auto-converted to MP3 ## Use Cases - 🎙️ Meeting transcription - 📚 Lecture recording - 💼 Voice memos - 🎞️ Video subtitle generation - 📞 Call recording transcription ## Author franklu0819-lang ## License MIT
generate a bunch of images, then you curate the results to handpick the best ones
generate a bunch of images, then you curate the results to handpick the best ones
Productivity system based on Maya calendar with 13 natural tones for project management and personal development
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