A very fast speech recognizer built using selenium(webkit speech recognizer) with python
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Updated
Feb 22, 2024 - HTML
A very fast speech recognizer built using selenium(webkit speech recognizer) with python
😝 TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)
The Implementation of FastSpeech2 Based on Pytorch.
Catalan 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
PyTorch Implementation of FastSpeech 2 : Fast and High-Quality End-to-End Text to Speech
PyTorch Implementation of DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs
PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech
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)
code for training a text-to-speech model
Acoustic Model for TTS
PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling
LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search
AdaSpeech: Adaptive Text to Speech for Custom Voice
PyTorch Implementation of NCSOFT's FastPitchFormant: Source-filter based Decomposed Modeling for Speech Synthesis
🔥 Deep NN Models with FRAMEWORKS -- PyTorch, Tensorflow 2, Kaldi, FastSpeech, MxNET Frameworks -- Image/Speech/NLP/Recommendation/Transformer Cognitive Analytics
This is a template for the Non-autoregressive Deep Learning-Based TTS model (in PyTorch).
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