A Tensorflow Implementation of the FastSpeech 2: Fast and High-Quality End-to-End Text to Speech
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Updated
Aug 12, 2020
A Tensorflow Implementation of the FastSpeech 2: Fast and High-Quality End-to-End Text to Speech
Acoustic Model for TTS
A very fast speech recognizer built using selenium(webkit speech recognizer) with python
🔥 Deep NN Models with FRAMEWORKS -- PyTorch, Tensorflow 2, Kaldi, FastSpeech, MxNET Frameworks -- Image/Speech/NLP/Recommendation/Transformer Cognitive Analytics
Catalan Text to Speech
code for training a text-to-speech model
This is a template for the Non-autoregressive Deep Learning-Based TTS model (in PyTorch).
LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search
This repository contains an attempt to incorporate Rasa Chatbot with state-of-the-art ASR (Automatic Speech Recognition) and TTS (Text-to-Speech) models directly without the need of running additional servers or socket connections.
The Implementation of FastSpeech2 Based on Pytorch.
PyTorch Implementation of NCSOFT's FastPitchFormant: Source-filter based Decomposed Modeling for Speech Synthesis
PyTorch Implementation of Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation
PyTorch implementation of DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (focused on DiffSpeech)
PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech
A Non-Autoregressive Transformer based Text-to-Speech, supporting a family of SOTA transformers with supervised and unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate TTS
AdaSpeech: Adaptive Text to Speech for Custom Voice
PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling
PyTorch Implementation of DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs
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