419 Open source projects that are alternatives of or similar to Comprehensive-Tacotron2

Yet another PyTorch implementation of Tacotron 2 with reduction factor and faster training speed.

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😝 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)

PyTorch Implementation of VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis.

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PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models

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Text-to-speech browser extension button. Select text on any web page, and have the computer read it out loud for you by simply clicking the Talkie button.

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A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)

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An implementation of Tacotron 2 that supports multilingual experiments with parameter-sharing, code-switching, and voice cloning.

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🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

Multispeaker & Emotional TTS based on Tacotron 2 and Waveglow

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Attention, I'm Trying to Speak: End-to-end speech synthesis (CS224n '18)

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WIP Tensorflow implementation of https://github.com/mozilla/TTS

A Pytorch Implementation of Tacotron: End-to-end Text-to-speech Deep-Learning Model

Crystal - C++ implementation of a unified framework for multilingual TTS synthesis engine with SSML specification as interface.

Extensible Android mobile voice framework: wakeword, ASR, NLU, and TTS. Easily add voice to any Android app!

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DeepMind's Tacotron-2 Tensorflow implementation

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Unofficial Parallel WaveGAN (+ MelGAN & Multi-band MelGAN) with Pytorch

💎 A list of accessible speech corpora for ASR, TTS, and other Speech Technologies

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Pytorch implementation of Tacotron

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Pytorch implementation of "Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions", ICASSP, 2018.

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Text-to-Speech Toolkit of the Speech and Language Technologies Group at the University of Stuttgart. Objectives of the development are simplicity, modularity, controllability and multilinguality.

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