pyvoicecraft 1.0.0

Advanced voice processing package with comprehensive TTS and speech recognition capabilities

PyVoiceCraft

PyVoiceCraft is an advanced voice processing package that provides comprehensive text-to-speech (TTS) and speech recognition capabilities with 100% more functionalities than existing packages.

Features

• 🎤 Advanced Speech Recognition - Multiple engine support with continuous listening
• 🔊 Text-to-Speech - High-quality voice synthesis with customizable profiles
• 👤 Voice Profiles - Personalized voice settings (male/female, pitch, speed)
• 🎵 Audio Processing - Pitch modification, speed control, echo effects, volume normalization
• 💬 Voice Commands - Command processing and execution system
• 📝 Conversation History - SQLite-based conversation tracking
• 🎯 Custom Dictionary - Add custom word pronunciations
• 📊 Voice Memos - Record and save audio memos
• 📈 Usage Statistics - Track voice usage patterns
• 🔄 Async Support - Non-blocking voice operations

Installation

pip install pyvoicecraft

Dependencies

PyVoiceCraft requires the following packages:

• pyttsx3>=2.90 - Text-to-speech engine
• SpeechRecognition>=3.8.1 - Speech recognition
• PyAudio>=0.2.11 - Audio processing
• numpy>=1.19.0 - Numerical operations
• scipy>=1.5.0 - Scientific computing

Quick Start

Basic Text-to-Speech

from pyvoicecraft import speak

# Simple text-to-speech
speak("Hello, welcome to PyVoiceCraft!")

# With different voice
speak("This is a male voice", voice="male")
speak("This is a female voice", voice="female")

Voice Recognition

from pyvoicecraft import listen

# Listen for voice input
text = listen(timeout=5)
print(f"You said: {text}")

Advanced Usage

from pyvoicecraft import PyVoiceCraft

# Create instance
ps = PyVoiceCraft()

# Set voice profile
ps.set_profile("female")

# Speak with custom settings
ps.speak("Hello world!", save_to_file="greeting.wav")

# Start conversation
def handle_response(text):
    return f"You said: {text}"

ps.start_conversation(callback=handle_response)

Voice Profiles

from pyvoicecraft import PyVoiceCraft, VoiceProfile

ps = PyVoiceCraft()

# Create custom profile
custom_profile = VoiceProfile(
    name="assistant",
    gender="female",
    age=25,
    accent="neutral",
    pitch=1.1,
    speed=1.2
)

ps.add_profile(custom_profile)
ps.set_profile("assistant")
ps.speak("Hello with custom voice profile!")

Voice Commands

from pyvoicecraft import PyVoiceCraft

ps = PyVoiceCraft()

# Add voice commands
def time_command(text):
    ps.speak_time()

def date_command(text):
    ps.speak_date()

ps.commands.add_command("time", time_command, ["what time", "current time"])
ps.commands.add_command("date", date_command, ["what date", "today"])

# Start listening for commands
ps.commands.start_listening()

Audio Effects

from pyvoicecraft import PyVoiceCraft

ps = PyVoiceCraft()

# Apply audio effects
effects = {
    "echo": {"delay_ms": 500, "decay": 0.3},
    "pitch": {"factor": 1.2},
    "speed": {"factor": 0.9}
}

ps.speak("This text has audio effects", effects=effects)

API Reference

Main Classes

• PyVoiceCraft - Main class with all functionalities
• VoiceProfile - Voice profile management
• VoiceRecognizer - Speech recognition handling
• VoiceCommands - Command processing
• AudioProcessor - Audio effects and processing

Quick Functions

• speak(text, voice="female", **kwargs) - Quick text-to-speech
• listen(timeout=5, language="en-US") - Quick voice recognition
• create_male_voice() - Create male voice instance
• create_female_voice() - Create female voice instance
• get_available_voices() - List system voices

Examples

Voice Memo Recording

from pyvoicecraft import PyVoiceCraft

ps = PyVoiceCraft()
memo_path = ps.create_voice_memo(duration=10)
print(f"Voice memo saved to: {memo_path}")

Custom Word Pronunciation

from pyvoicecraft import PyVoiceCraft

ps = PyVoiceCraft()

# Add custom pronunciations
ps.add_word("API", "A P I")
ps.add_word("JSON", "Jay-son")

ps.speak("The API returns JSON data")

Export/Import Data

from pyvoicecraft import PyVoiceCraft

ps = PyVoiceCraft()

# Export all data
ps.export_data("backup.json")

# Import data
ps.import_data("backup.json")

System Requirements

• Python 3.7+
• Windows, macOS, or Linux
• Microphone (for speech recognition)
• Speakers/headphones (for audio output)

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

Support

If you encounter any issues or have questions:

• Create an issue on GitHub Issues
• Email: [e-mail]

Changelog

v1.0.0

• Initial release
• Text-to-speech functionality
• Speech recognition
• Voice profiles
• Audio processing effects
• Voice commands
• Conversation history
• Custom dictionary support

Author

Kodukulla.Phani Kumar

• Email: [e-mail]
• GitHub: @kodukulla-phani-kumar

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