Release Notes
- First release of TensorflowTTS.
- Built against TensorFlow 2.2
Changelog
- Apply black formatter.
- Use pytest as default test runner.
TensorflowTTS Core
tensorflow_tts.bin
- Multi-preprocess to calculate mel-spectrogram, f0, energy
- Add code to calculate mean/std of mel-spectrogram, f0, energy
- Add code to normalize mel-spectrogram, f0, energy based on its mean/std value
tensorflow_tts.config
- Add configuration for FastSpeech
- Add configuration for FastSpeech2
- Add configuration for Tacotron-2
- Add configuration for MelGAN
- Add configuration for Multiband-MelGAN
tensorflow_tts.datasets
- Add dataset abstract based on tf.data
- Add dataloder for mel-spectrogram
- Add dataloder for audio
tensorflow_tts.losses
- Add MultiScale STFT Loss
- Add Mel-spectrogram Loss
tensorflow_tts.models
- Add FastSpeech modeling
- Add FastSpeech2 modeling
- Add Melgan modeling
- Add Multiband-melgan modeling
- Add Tacotorn-2 modeling
tensorflow_tts.optimizers
- Add adam-weightdecay optimizers
tensorflow_tts.processor
- Add Ljspeech processor for english charactor-based.
tensorflow_tts.trainers
- Add base trainer including **GanBasedTrainer** and **Seq2SeqTrainer**
tensorflow_tts.utils
- Add seq2seq dynamic decoder
- Add cleaner for english text
- Add group convolution for melgan
- Add batch Griffin-Lim version based on librosa and Tensorflow
- Add number normalization
- Add function to detect outlier from 1D array
- Add weight-norm layer
NoteBooks
- Add notebook for GL inference
- Add notebook for convert FastSpeech/FastSpeech2/Melgan/Mb-melgan/Tacotron-2 to pb and inference
- Add notebook for convert FastSpeech/FastSpeech2/Tacotron-2 to tflite and inference
Examples
- Add example to training fastspeech
- Add example to training fastspeech2
- Add example to training tacotron-2
- Add example to training melgan
- Add example to training melgan.stft
- Add example to training multiband melgan
Thanks to our Contributors
erogol azraelkuan l4zyf9x myagues sujeendran MokkeMeguru jaeyoo dathudeptrai