You can also help us implement more models. Modular (but not too much) code base enabling easy implementation of new ideas.Tools to curate Text2Speech datasets under dataset_analysis.Efficient, flexible, lightweight but feature complete Trainer API.Detailed training logs on the terminal and Tensorboard.Vocoder models (MelGAN, Multiband-MelGAN, GAN-TTS, ParallelWaveGAN, WaveGrad, WaveRNN).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 Help is much more valuable if it's shared publicly so that more people can benefit from it. Please use our dedicated channels for questions and discussion. 📢 English Voice Samples and SoundCloud playlist 🐸TTS comes with pretrained models, tools for measuring dataset quality and already used in 20+ languages for products and research projects.
It's built on the latest research, was designed to achieve the best trade-off among ease-of-training, speed and quality.
🐸TTS is a library for advanced Text-to-Speech generation. 📣 Clone your voice with a single click on 🐸Coqui.ai RuntimeError: stft requires the return_complex parameter be given for real inputs, and will further require that return_complex=True in a future PyTorch release. Return _VF.stft(input, n_fft, hop_length, win_length, window, # type: ignore Outputs, loss_dict = self._model_train_step(batch, model, criterion, optimizer_idx=optimizer_idx)įile "/usr/local/lib/python3.10/dist-packages/trainer/trainer.py", line 970, in _model_train_stepįile "/workspace/coqui-tts/TTS/tts/models/vits.py", line 1293, in train_stepįile "/workspace/coqui-tts/TTS/tts/models/vits.py", line 191, in wav_to_melįile "/usr/local/lib/python3.10/dist-packages/torch/functional.py", line 641, in stft
Outputs, loss_dict_new, step_time = self._optimize(įile "/usr/local/lib/python3.10/dist-packages/trainer/trainer.py", line 1023, in _optimize _, _ = ain_step(batch, batch_num_steps, cur_step, loader_start_time)įile "/usr/local/lib/python3.10/dist-packages/trainer/trainer.py", line 1162, in train_step Vits.py training fixed due to return_complex ( #2418 ) Torch set default value for `return_complex=True` for `torch.stft` methodįile "/usr/local/lib/python3.10/dist-packages/trainer/trainer.py", line 1591, in fitįile "/usr/local/lib/python3.10/dist-packages/trainer/trainer.py", line 1544, in _fitįile "/usr/local/lib/python3.10/dist-packages/trainer/trainer.py", line 1309, in train_epoch
0 kommentar(er)
