README is available in the following languages:

Silero TTS is a Python library that provides an easy way to synthesize speech from text using various Silero TTS models, languages, and speakers. It can be used as a standalone script or integrated into your own Python projects.

• Support for multiple languages and models
• Automatic downloading of the latest model configuration file
• Text preprocessing and transliteration
• Batch processing of text files
• Detailed logging with loguru
• Progress tracking with tqdm
• Customizable options for sample rate, device, and more
• Can be used as a standalone script or integrated into Python code

pip install silero-tts

1. Clone the repository:

   git clone https://github.com/daswer123/silero-tts-enhanced
   

2. Install the required dependencies:

   pip install -r requirements.txt
   

You can use Silero TTS as a standalone script to synthesize speech from text files or directories containing text files.

python -m silero_tts [options]

• --list-models: List available models
• --list-speakers: List available speakers for a model
• --language LANGUAGE: Specify the language code (required)
• --model MODEL: Specify the model ID (default: latest version for the language)
• --speaker SPEAKER: Specify the speaker name (default: first available speaker for the model)
• --sample-rate SAMPLE_RATE: Specify the sample rate (default: 48000)
• --device DEVICE: Specify the device to use (default: cpu)
• --text TEXT: Specify the text to synthesize
• --input-file INPUT_FILE: Specify the input text file to synthesize
• --input-dir INPUT_DIR: Specify the input directory with text files to synthesize
• --output-file OUTPUT_FILE: Specify the output audio file (default: output.wav)
• --output-dir OUTPUT_DIR: Specify the output directory for synthesized audio files (default: output)

1. Synthesize speech from a text:

   python silero_tts.py --language ru --text "Привет, мир!"
   

2. Synthesize speech from a text file:

   python silero_tts.py --language en --input-file input.txt --output-file output.wav
   

3. Synthesize speech from multiple text files in a directory:

   python silero_tts.py --language es --input-dir texts --output-dir audio
   

You can also integrate Silero TTS into your own Python projects by importing the SileroTTS class and using its methods.

from silero_tts.silero_tts import SileroTTS

# Get available models
models = SileroTTS.get_available_models()
print("Available models:", models)

# Get available languages
languages = SileroTTS.get_available_languages()
print("Available languages:", languages)

# Get the latest model for a specific language
latest_model = SileroTTS.get_latest_model('ru')
print("Latest model for Russian:", latest_model)

# Get available sample rates for a specific model and language
sample_rates = SileroTTS.get_available_sample_rates_static('ru', latest_model)
print("Available sample rates for the latest Russian model:", sample_rates)

# Initialize the TTS object
tts = SileroTTS(model_id='v3_en', language='en', speaker='en_2', sample_rate=48000, device='cpu')

# Synthesize speech from text
text = "Hello world!"
tts.tts(text, 'output.wav')

# Synthesize speech from a text file
# tts.from_file('input.txt', 'output.wav')

# Get available speakers for the current model
speakers = tts.get_available_speakers()
print("Available speakers for the current model:", speakers)

# Change the language
tts.change_language('en')
print("Language changed to:", tts.language)
print("New model ID:", tts.model_id)
print("New available speakers:", tts.get_available_speakers())

# Change the model
tts.change_model('v3_en')
print("Model changed to:", tts.model_id)
print("New available speakers:", tts.get_available_speakers())

# Change the speaker
tts.change_speaker('en_0')
print("Speaker changed to:", tts.speaker)

# Change the sample rate
tts.change_sample_rate(24000)
print("Sample rate changed to:", tts.sample_rate)

The Silero TTS CLI provides the following features:

• Language Support: Specify the language code using the --language flag to synthesize speech in the desired language.
• Model Selection: Choose a specific model using the --model flag or let the CLI automatically select the latest model for the specified language.
• Speaker Selection: Select a speaker using the --speaker flag or use the default speaker for the chosen model.
• Sample Rate: Customize the sample rate of the synthesized speech using the --sample-rate flag.
• Device: Specify the device (CPU or GPU) to use for synthesis using the --device flag.
• Text Input: Provide the text to synthesize directly using the --text flag or specify an input text file using the --input-file flag.
• Batch Processing: Process multiple text files in a directory using the --input-dir flag.
• Output: Specify the output audio file using the --output-file flag or the output directory for batch processing using the --output-dir flag.
• Model Listing: List all available models using the --list-models flag.
• Speaker Listing: List all available speakers for a specific model using the --list-speakers flag.

• Russian (ru)
• English (en)
• German (de)
• Spanish (es)
• French (fr)
• Bashkir (ba)
• Kalmyk (xal)
• Tatar (tt)
• Uzbek (uz)
• Ukrainian (ua)
• Indic (indic)
• Cyrillic (cyrillic)

This project is licensed under the MIT License.

• Silero Models for providing the TTS models
• silero_tts_standalone this library inspired me to create this project.