PyPiperTTS: A Python Interface for Piper Text-to-Speech

PyPiperTTS is a Python library that provides a simple and intuitive interface to the Piper text-to-speech system. It allows you to generate high-quality speech from text using pre-trained models.

Installation

To use PyPiperTTS, you'll need to have Python 3.6 or later installed on your system. You can install the required dependencies using pip:

pip install -r requirements.txt

Usage

Initializing the PyPiper Object

To start using PyPiperTTS, create an instance of the PyPiper class:

from pypipertts import PyPiper

piper = PyPiper()

Generating Speech

You can generate speech from text using the tts method:

output_file = piper.tts("Hello, world!")
print(output_file)

This will generate a WAV file containing the synthesized speech.

Streaming Speech

You can also stream the synthesized speech in real-time using the stream_tts method:

streamed_audio = piper.stream_tts("Hello, world!")
# play streamed audio

Saving and Loading Model Settings

You can save and load model settings using the save_set and load_set methods:

# Save model settings
set_file = piper.save_set("en_US-joe-medium", 1, 1, 1, 1)

# Load model settings
model, length, noise, width, pause = piper.load_set(set_file)
print(model, length, noise, width, pause)

Requirements

• Python 3.6 or later
• Piper text-to-speech system (https://github.com/rhasspy/piper)
• pydub library for audio processing
• requests library for downloading models

License

PyPiper is released under the MIT License.