## Introduction MeloTTS is a **high-quality multi-lingual** text-to-speech library by [MyShell.ai](https://myshell.ai). Supported languages include: | Language | Example | | --- | --- | | English | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/en/EN-Default/speed_1.0/sent_000.wav) | | English (American) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/en/EN-US/speed_1.0/sent_000.wav) | | English (British) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/en/EN-BR/speed_1.0/sent_000.wav) | | English (Indian) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/en/EN_INDIA/speed_1.0/sent_000.wav) | | English (Australian) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/en/EN-AU/speed_1.0/sent_000.wav) | | Spanish | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/es/ES/speed_1.0/sent_000.wav) | | French | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/fr/FR/speed_1.0/sent_000.wav) | | Chinese (mix EN) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/zh/ZH/speed_1.0/sent_008.wav) | | Japanese | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/jp/JP/speed_1.0/sent_000.wav) | | Korean | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/kr/KR/speed_1.0/sent_000.wav) | Some other features include: - The Chinese speaker supports `mixed Chinese and English`. - Fast enough for `CPU real-time inference`. ## Install on Linux ```bash git clone git@github.com:myshell-ai/MeloTTS.git cd MeloTTS pip install -e . python -m unidic download ``` We welcome the open-source community to make this repo `Mac` and `Windows` compatible. If you find this repo useful, please consider contributing to the repo. ## Usage ### English with Multi Accents ```python from melo.api import TTS # Speed is adjustable speed = 1.0 # CPU is sufficient for real-time inference. # You can also change to cuda:0 device = 'cpu' # English text = "Did you ever hear a folk tale about a giant turtle?" model = TTS(language='EN', device=device) speaker_ids = model.hps.data.spk2id # Default accent output_path = 'en-default.wav' model.tts_to_file(text, speaker_ids['EN-Default'], output_path, speed=speed) # American accent output_path = 'en-us.wav' model.tts_to_file(text, speaker_ids['EN-US'], output_path, speed=speed) # British accent output_path = 'en-br.wav' model.tts_to_file(text, speaker_ids['EN-BR'], output_path, speed=speed) # Indian accent output_path = 'en-india.wav' model.tts_to_file(text, speaker_ids['EN_INDIA'], output_path, speed=speed) # Australian accent output_path = 'en-au.wav' model.tts_to_file(text, speaker_ids['EN-AU'], output_path, speed=speed) ``` ### Spanish ```python from melo.api import TTS # Speed is adjustable speed = 1.0 # CPU is sufficient for real-time inference. # You can also change to cuda:0 device = 'cpu' text = "El resplandor del sol acaricia las olas, pintando el cielo con una paleta deslumbrante." model = TTS(language='ES', device=device) speaker_ids = model.hps.data.spk2id output_path = 'es.wav' model.tts_to_file(text, speaker_ids['ES'], output_path, speed=speed) ``` ### French ```python from melo.api import TTS # Speed is adjustable speed = 1.0 device = 'cpu' # or cuda:0 text = "La lueur dorée du soleil caresse les vagues, peignant le ciel d'une palette éblouissante." model = TTS(language='FR', device=device) speaker_ids = model.hps.data.spk2id output_path = 'fr.wav' model.tts_to_file(text, speaker_ids['FR'], output_path, speed=speed) ``` ### Chinese ```python from melo.api import TTS # Speed is adjustable speed = 1.0 device = 'cpu' # or cuda:0 text = "我最近在学习machine learning，希望能够在未来的artificial intelligence领域有所建树。" model = TTS(language='ZH', device=device) speaker_ids = model.hps.data.spk2id output_path = 'zh.wav' model.tts_to_file(text, speaker_ids['ZH'], output_path, speed=speed) ``` ### Japanese ```python from melo.api import TTS # Speed is adjustable speed = 1.0 device = 'cpu' # or cuda:0 text = "彼は毎朝ジョギングをして体を健康に保っています。" model = TTS(language='JP', device=device) speaker_ids = model.hps.data.spk2id output_path = 'jp.wav' model.tts_to_file(text, speaker_ids['JP'], output_path, speed=speed) ``` ### Korean ```python from melo.api import TTS # Speed is adjustable speed = 1.0 device = 'cpu' # or cuda:0 text = "안녕하세요! 오늘은 날씨가 정말 좋네요." model = TTS(language='KR', device=device) speaker_ids = model.hps.data.spk2id output_path = 'kr.wav' model.tts_to_file(text, speaker_ids['KR'], output_path, speed=speed) ``` ## License This library is under MIT License. Free for both commercial and non-commercial use. ## Acknowledgement This implementation is based on several excellent projects, [TTS](https://github.com/coqui-ai/TTS), [VITS](https://github.com/jaywalnut310/vits), [VITS2](https://github.com/daniilrobnikov/vits2) and [Bert-VITS2](https://github.com/fishaudio/Bert-VITS2). We appreciate their awesome work!