# ChatTTS
> [!NOTE]
> Следующая информация может быть не самой последней, пожалуйста, смотрите английскую версию для актуальных данных.
[![Huggingface](https://img.shields.io/badge/🤗%20-Models-yellow.svg?style=for-the-badge)](https://huggingface.co/2Noise/ChatTTS)
[**English**](../../README.md) | [**简体中文**](../cn/README.md) | [**日本語**](../jp/README.md) | **Русский** | [**Español**](../es/README.md)
ChatTTS - это модель преобразования текста в речь, специально разработанная для диалоговых сценариев, таких как помощник LLM. Она поддерживает как английский, так и китайский языки. Наша модель обучена на более чем 100 000 часах английского и китайского языков. Открытая версия на **[HuggingFace](https://huggingface.co/2Noise/ChatTTS)** - это предварительно обученная модель с 40 000 часами без SFT.
Для официальных запросов о модели и плане развития, пожалуйста, свяжитесь с нами по адресу **open-source@2noise.com**. Вы можете присоединиться к нашей группе QQ: 808364215 для обсуждения. Добавление вопросов на GitHub также приветствуется.
---
## Особенности
1. **Диалоговый TTS**: ChatTTS оптимизирован для задач, основанных на диалогах, что позволяет создавать натуральную и выразительную речь. Он поддерживает несколько говорящих, облегчая интерактивные беседы.
2. **Тонкий контроль**: Модель может предсказывать и контролировать тонкие просодические особенности, включая смех, паузы и вставные слова.
3. **Лучшая просодия**: ChatTTS превосходит большинство открытых моделей TTS с точки зрения просодии. Мы предоставляем предварительно обученные модели для поддержки дальнейших исследований и разработок.
Для подробного описания модели вы можете обратиться к **[видео на Bilibili](https://www.bilibili.com/video/BV1zn4y1o7iV)**
---
## Отказ от ответственности
Этот репозиторий предназначен только для академических целей. Он предназначен для образовательного и исследовательского использования и не должен использоваться в коммерческих или юридических целях. Авторы не гарантируют точность, полноту или надежность информации. Информация и данные, использованные в этом репозитории, предназначены только для академических и исследовательских целей. Данные получены из общедоступных источников, и авторы не заявляют о каких-либо правах собственности или авторских правах на данные.
ChatTTS - мощная система преобразования текста в речь. Однако очень важно использовать эту технологию ответственно и этично. Чтобы ограничить использование ChatTTS, мы добавили небольшое количество высокочастотного шума во время обучения модели на 40 000 часов и сжали качество аудио как можно больше с помощью формата MP3, чтобы предотвратить возможное использование злоумышленниками в преступных целях. В то же время мы внутренне обучили модель обнаружения и планируем открыть ее в будущем.
---
## Использование
<h4>Базовое использование</h4>
```python
import ChatTTS
from IPython.display import Audio
import torch
chat = ChatTTS.Chat()
chat.load(compile=False) # Установите значение True для лучшей производительности
texts = ["ВВЕДИТЕ ВАШ ТЕКСТ ЗДЕСЬ",]
wavs = chat.infer(texts)
torchaudio.save("output1.wav", torch.from_numpy(wavs[0]), 24000)
```
<h4>Продвинутое использование</h4>
```python
###################################
# Выборка говорящего из Гауссиана.
rand_spk = chat.sample_random_speaker()
print(rand_spk) # save it for later timbre recovery
params_infer_code = {
'spk_emb': rand_spk, # добавить выбранного говорящего
'temperature': .3, # использовать пользовательскую температуру
'top_P': 0.7, # декодирование top P
'top_K': 20, # декодирование top K
}
###################################
# Для контроля на уровне предложений.
# используйте oral_(0-9), laugh_(0-2), break_(0-7)
# для генерации специального токена в тексте для синтеза.
params_refine_text = {
'prompt': '[oral_2][laugh_0][break_6]'
}
wav = chat.infer(texts, params_refine_text=params_refine_text, params_infer_code=params_infer_code)
###################################
# Для контроля на уровне слов.
text = 'Какая ваша любимая английская еда?[uv_break]your favorite english food?[laugh][lbreak]'
wav = chat.infer(text, skip_refine_text=True, params_refine_text=params_refine_text, params_infer_code=params_infer_code)
torchaudio.save("output2.wav", torch.from_numpy(wavs[0]), 24000)
```
<details open>
<summary><h4>Пример: самопрезентация</h4></summary>
```python
inputs_ru = """
ChatTTS - это модель преобразования текста в речь, разработанная для диалоговых приложений.
[uv_break]Она поддерживает смешанный языковой ввод [uv_break]и предлагает возможности множественных говорящих
с точным контролем над просодическими элементами [laugh]как [uv_break]смех[laugh], [uv_break]паузы, [uv_break]и интонацию.
[uv_break]Она обеспечивает натуральную и выразительную речь,[uv_break]поэтому, пожалуйста,
[uv_break] используйте проект ответственно и на свой страх и риск.[uv_break]
""".replace('\n', '') # Русский язык все еще находится в экспериментальной стадии.
params_refine_text = {
'prompt': '[oral_2][laugh_0][break_4]'
}
audio_array_ru = chat.infer(inputs_ru, params_refine_text=params_refine_text)
torchaudio.save("output3.wav", torch.from_numpy(audio_array_ru[0]), 24000)
```
[мужской говорящий](https://github.com/2noise/ChatTTS/assets/130631963/e0f51251-db7f-4d39-a0e9-3e095bb65de1)
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