Defrilab/kiswahili_tts

:yum: TensorFlowTTS Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 :zany_face: TensorFlowTTS provides real-time state-of-the-art speech synthesis architectures such as Tacotron-2, Melgan, Multiband-Melgan, FastSpeech, FastSpeech2 based-on TensorFlow 2. With Tensorflow 2, we can speed-up training/inference progress, optimizer further by using fake-quantize aware and pruning, make TTS models can be run faster than real-time and be able to deploy on mobile devices or embedded systems. ## What's new - 2020/08/23 **(NEW!)** Add Parallel WaveGAN tensorflow implementation. See here - 2020/08/23 **(NEW!)** Add MBMelGAN G + ParallelWaveGAN G example. See here - 2020/08/20 **(NEW!)** Add C++ inference code. Thank @ZDisket. See here - 2020/08/18 **(NEW!)** Update new base processor. Add AutoProcessor and pretrained processor json file. - 2020/08/14 **(NEW!)** Support Chinese TTS. Pls see the colab. Thank @azraelkuan. - 2020/08/05 **(NEW!)** Support Korean TTS. Pls see the colab. Thank @crux153. - 2020/07/17 Support MultiGPU for all Trainer. - 2020/07/05 Support Convert Tacotron-2, FastSpeech to Tflite. Pls see the colab. Thank @jaeyoo from TFlite team for his support. - 2020/06/20 FastSpeech2 implementation with Tensorflow is supported. - 2020/06/07 Multi-band MelGAN (MB MelGAN) implementation with Tensorflow is supported. ## Features - High performance on Speech Synthesis. - Be able to fine-tune on other languages. - Fast, Scalable and Reliable. - Suitable for deployment. - Easy to implement new model based-on abtract class. - Mixed precision to speed-up training if posible. - Support both Single/Multi GPU in base trainer class. - TFlite conversion for all supported model. - Android example. - Support many languages (currently, we support Chinese, Korean, English.) - Support C++ inference. - Support Convert weight for some models from pytorch to tensorflow to accelerate speed. ## Requirements This repository is tested on Ubuntu 18.04 with: - …