https://github.com/zetane/block-text-to-speech

Provide a text message and the sample audio file to generate the audio for the text message in the voice provided in the audio file
https://github.com/zetane/block-text-to-speech

Last synced: 21 minutes ago
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Provide a text message and the sample audio file to generate the audio for the text message in the voice provided in the audio file

• Host: GitHub
• URL: https://github.com/zetane/block-text-to-speech
• Owner: zetane
• Created: 2024-06-14T13:19:47.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-06-14T13:41:06.000Z (7 months ago)
• Last Synced: 2024-11-10T14:08:27.262Z (about 2 months ago)
• Language: Python
• Size: 428 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md

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README

        
# Text-to-Speech Conversion with TTS

This repository contains a script to convert textual descriptions into audio files using a text-to-speech (TTS) model. The script is designed to work with a specific TTS model from the `TTS` library.

## Requirements

- Python 3.x

- PyTorch

- TTS Library

## Installation

1. Clone the repository:

```bash

pip install torch TTS

Usage

The script provides a compute function to convert text to speech and save it as an audio file.

Function Definition

python

Copy code

def compute(prompt, audio_file_path):

    """Convert text to speech and save it as an audio file.

    Inputs:

        prompt (str): Textual description to be converted to audio.

        audio_file_path (str): Path to an existing audio file for speaker adaptation.

    Outputs:

        result (dict of str): Dictionary containing the path to the output audio file.

    """

Inputs

prompt (str): The text that you want to convert into speech.

audio_file_path (str): The path to an existing audio file used for speaker adaptation.

Outputs

result (dict of str): A dictionary containing the path to the output audio file.

Example

Here's an example of how to use the compute function:

python

Copy code

import torch

from TTS.api import TTS

import builtins

def compute(prompt, audio_file_path):

    """Convert text to speech and save it as an audio file.

    Inputs:

        prompt (str): Textual description of audio.

        audio_file_path (str): Path for audio file.

    Outputs:

        result (dict of str): List of Output file.

    """

    # Backup the original input function

    original_input = builtins.input

    # Define a new function that always returns 'y'

    def mock_input(prompt):

        print(prompt + "y")  # Optionally print the prompt and response

        return 'y'

    # Replace the input function with the mock_input function

    builtins.input = mock_input

    # Initialize TTS

    tts = TTS("tts_models/multilingual/multi-dataset/xtts_v2").to("cpu")

    # Run TTS to convert text to speech

    wav = tts.tts(text=prompt, speaker_wav=audio_file_path, language="en")

    # Convert text to speech and save to a file

    tts.tts_to_file(text=prompt, speaker_wav=audio_file_path, language="en", file_path="output.wav")

    # Append output file to results

    result = ["output.wav"]

    # Restore the original input function after operations

    builtins.input = original_input

    return {"result": result}

# Example usage

prompt = "Hello, this is a test."

audio_file_path = "path/to/existing/audio.wav"

output = compute(prompt, audio_file_path)

print(output)

This script uses the TTS library to perform the text-to-speech conversion. It adapts to the speaker's voice using an existing audio file.