MeloTTS is a high-quality multi-lingual text-to-speech library by MyShell.ai. Supported languages include:
Language | Example |
---|---|
English | Link |
English (American) | Link |
English (British) | Link |
English (Indian) | Link |
English (Australian) | Link |
Spanish | Link |
French | Link |
Chinese (mix EN) | Link |
Japanese | Link |
Korean | Link |
The Chinese speaker supports mixed Chinese and English
.
git clone git@github.com:myshell-ai/MeloTTS.git
cd MeloTTS
pip install -e .
python -m unidic download
from melo.api import TTS
# Speed is adjustable
speed = 1.0
# English
text = "Did you ever hear a folk tale about a giant turtle?"
model = TTS(language='EN')
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)
from melo.api import TTS
# Speed is adjustable
speed = 1.0
text = "El resplandor del sol acaricia las olas, pintando el cielo con una paleta deslumbrante."
model = TTS(language='ES')
speaker_ids = model.hps.data.spk2id
output_path = 'es.wav'
model.tts_to_file(text, speaker_ids['ES'], output_path, speed=speed)
from melo.api import TTS
# Speed is adjustable
speed = 1.0
text = "La lueur dorée du soleil caresse les vagues, peignant le ciel d'une palette éblouissante."
model = TTS(language='FR')
speaker_ids = model.hps.data.spk2id
output_path = 'fr.wav'
model.tts_to_file(text, speaker_ids['FR'], output_path, speed=speed)
from melo.api import TTS
# Speed is adjustable
speed = 1.0
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')
speaker_ids = model.hps.data.spk2id
output_path = 'zh.wav'
model.tts_to_file(text, speaker_ids['ZH'], output_path, speed=speed)
from melo.api import TTS
# Speed is adjustable
speed = 1.0
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')
speaker_ids = model.hps.data.spk2id
output_path = 'jp.wav'
model.tts_to_file(text, speaker_ids['JP'], output_path, speed=speed)
from melo.api import TTS
# Speed is adjustable
speed = 1.0
text = "안녕하세요! 오늘은 날씨가 정말 좋네요."
model = TTS(language='KR')
speaker_ids = model.hps.data.spk2id
output_path = 'kr.wav'
model.tts_to_file(text, speaker_ids['KR'], output_path, speed=speed)
This library is under MIT License. Free for both commercial and non-commercial use.
This implementation is based on several excellent projects, TTS, VITS, and VITS2. We appreciate their awesome work!