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callmac

Remote voice control for Mac from mobile devices using commands like /callmac.

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Installation

npx clawhub@latest install callmac

View the full skill documentation and source below.

Documentation

Callmac Skill

Remote voice control for your Mac from mobile devices. Broadcast announcements, play alarms, tell stories, wake up kids - all triggered from messaging apps like Telegram or WhatsApp. Uses edge-tts with mixed Chinese/English support.

从移动设备远程控制 Mac 语音功能。广播公告、播放闹钟、讲故事、叫孩子起床 - 全部通过 Telegram 或 WhatsApp 触发。使用 edge-tts 支持中英文混合。

Quick Start | 快速开始

快速开始使用语音技能,生成和播放中英文混合的 TTS 音频。

Basic Usage | 基本用法

# Generate and play a simple announcement
python3 scripts/generate_tts.py --text "Hello world" --play

# Generate mixed Chinese/English content
python3 scripts/generate_tts.py --text "Hello 你好" --play

# Save to file
python3 scripts/generate_tts.py --text "Your message" --output announcement.mp3

Voice Selection

Edge TTS provides high-quality neural voices:

  • English (US): en-US-JennyNeural (friendly), en-US-AriaNeural (confident)

  • Chinese (Mandarin): zh-CN-XiaoxiaoNeural (warm), zh-CN-XiaoyiNeural (lively)

  • Other languages: See VOICES.md for complete list


Features

1. Mixed Language Support

Automatically detects language segments and uses appropriate voices:
  • English segments → English neural voice
  • Chinese segments → Chinese neural voice
  • Other languages → Default or specified voice

2. Playback Control

  • Local playback on Mac using afplay
  • Loop playback support (1-∞ times)
  • Volume control (0-100%)
  • Background/foreground playback options

3. File Management

  • Save as MP3 files
  • Concatenate multiple audio segments
  • Batch processing support

4. Advanced Features

  • Custom voice selection per segment
  • Speech rate adjustment
  • Pitch modification
  • SSML support for advanced control

Workflows

Workflow 1: Simple Announcement Playback

  • User provides text to speak
  • System detects language(s)
  • Generates appropriate TTS audio
  • Plays locally on Mac
  • Workflow 2: Mixed Language Audio Creation

  • User provides Chinese/English mixed text
  • System splits by language segments
  • Generates separate audio for each language
  • Concatenates into single MP3 file
  • Optionally plays or saves
  • Workflow 3: Scheduled/Repeated Announcements

  • User provides text and playback schedule
  • System creates cron job or loop
  • Plays at specified intervals
  • Can be stopped on demand
  • Scripts

    scripts/generate_tts.py

    Main script for TTS generation and playback.

    Usage:

    # Basic generation and playback
    python3 generate_tts.py --text "Message" --play
    
    # Save to file
    python3 generate_tts.py --text "Message" --output file.mp3
    
    # Mixed language with custom voices
    python3 generate_tts.py --text "Hello 你好" --voice-en "en-US-AriaNeural" --voice-zh "zh-CN-XiaoyiNeural"
    
    # Loop playback
    python3 generate_tts.py --text "Message" --play --loops 5
    
    # Volume control
    python3 generate_tts.py --text "Message" --play --volume 80
    
    # SSML support
    python3 generate_tts.py --ssml "<speak>Hello <break time='500ms'/> world</speak>"

    Parameters:

    • --text: Text to convert to speech

    • --ssml: SSML markup for advanced control

    • --output: Save to MP3 file

    • --play: Play immediately after generation

    • --voice: Default voice (overrides auto-detection)

    • --voice-en: English voice override

    • --voice-zh: Chinese voice override

    • --loops: Number of times to play (default: 1)

    • --volume: Playback volume 0-100 (default: system volume)

    • --rate: Speech rate adjustment (+/- %)

    • --pitch: Pitch adjustment (+/- Hz)


    scripts/play_audio.py


    Audio playback control utilities.

    Usage:

    # Play existing audio file
    python3 play_audio.py --file audio.mp3
    
    # Loop playback
    python3 play_audio.py --file audio.mp3 --loops 3
    
    # Volume control
    python3 play_audio.py --file audio.mp3 --volume 75
    
    # Stop all playback
    python3 play_audio.py --stop

    scripts/merge_audio.py

    Merge multiple audio files.

    Usage:

    # Merge two files
    python3 merge_audio.py --files part1.mp3 part2.mp3 --output combined.mp3
    
    # Create playlist and merge
    python3 merge_audio.py --playlist playlist.txt --output combined.mp3

    References

    VOICES.md

    Complete list of available Edge TTS voices with language, gender, and style information.

    INSTALLATION.md

    Setup instructions for edge-tts and ffmpeg dependencies.

    EXAMPLES.md

    Example usage patterns and common scenarios.

    Dependencies

  • edge-tts: pip3 install edge-tts

  • ffmpeg: brew install ffmpeg (for audio merging)

  • macOS tools: afplay (built-in), osascript (volume control)
  • Common Patterns

    Pattern 1: Welcome Message

    python3 scripts/generate_tts.py --text "Welcome to the system. 系统欢迎您。" --play --voice-en "en-US-JennyNeural" --voice-zh "zh-CN-XiaoxiaoNeural"

    Pattern 2: Scheduled Reminder

    # Create audio file
    python3 scripts/generate_tts.py --text "Time for your meeting. 会议时间到了。" --output reminder.mp3
    
    # Schedule playback (using cron)
    echo "*/30 * * * * afplay /path/to/reminder.mp3" | crontab -

    Pattern 3: Multi-language Announcement

    python3 scripts/generate_tts.py --text "Alert: System update in progress. 警报:系统更新进行中。" --play --loops 3 --volume 90

    Troubleshooting

    No Audio Output

  • Check system volume: osascript -e "output volume of (get volume settings)"
  • Check mute status: osascript -e "output muted of (get volume settings)"
  • Test with simple audio: afplay /System/Library/Sounds/Ping.aiff
  • edge-tts Not Working

  • Verify installation: python3 -m edge_tts --list-voices
  • Check internet connection (edge-tts requires online access)
  • Update package: pip3 install --upgrade edge-tts
  • Audio Quality Issues

  • Use neural voices for best quality
  • Adjust speech rate if too fast/slow
  • Consider SSML for precise control
  • Notes

    • Edge TTS requires internet connection for voice synthesis
    • Local playback uses macOS built-in afplay command
    • Volume control uses osascript to adjust system volume
    • For offline use, consider alternative TTS solutions
    • Large texts may be split into multiple segments automatically