![]() ![]() tts ( "This is a test! This is also a test!!", speaker = tts. list_models () # Init TTS tts = TTS ( model_name ) # Run TTS # ❗ Since this model is multi-speaker and multi-lingual, we must set the target speaker and the language # Text to speech with a numpy output wav = tts. If you are only interested in synthesizing speech with the released □TTS models, installing from PyPI is the easiest option.įrom TTS.api import TTS # Running a multi-speaker and multi-lingual model # List available □TTS models and choose the first one model_name = TTS. You can also help us implement more models. ![]() Implemented Models # Spectrogram models # Modular (but not too much) code base enabling easy implementation of new ideas. Tools to curate Text2Speech datasets under dataset_analysis. ![]() ![]() Vocoder models (MelGAN, Multiband-MelGAN, GAN-TTS, ParallelWaveGAN, WaveGrad, WaveRNN)ĭetailed training logs on the terminal and Tensorboard.Įfficient, flexible, lightweight but feature complete Trainer API. Speaker Encoder to compute speaker embeddings efficiently. Text2Spec models (Tacotron, Tacotron2, Glow-TTS, SpeedySpeech). High-performance Deep Learning models for Text2Speech tasks. Underlined “TTS*” and “Judy*” are □TTS models Features # ![]()
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