257 Open source projects that are alternatives of or similar to Cnn_vocoder

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

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Official implementation of Meta-StyleSpeech and StyleSpeech

Fre-GAN: Adversarial Frequency-consistent Audio Synthesis

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

Spokestack: give your React Native app a voice interface!

TFGAN: Time and Frequency Domain Based Generative Adversarial Network for High-fidelity Speech Synthesis

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LVCNet: Efficient Condition-Dependent Modeling Network for Waveform Generation

HTS-style full-context labels for JSUT v1.1

Official implementation of EdiTTS: Score-based Editing for Controllable Text-to-Speech

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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.

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

Implementation of Google Brain's WaveGrad high-fidelity vocoder (paper: https://arxiv.org/pdf/2009.00713.pdf). First implementation on GitHub.

An opensource text-to-speech (TTS) voice building tool

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

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

PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling

PyTorch Implementation of Google Brain's WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis

PAddle PARAllel text-to-speech toolKIT (supporting WaveFlow, WaveNet, Transformer TTS and Tacotron2)

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

an open-source implementation of sequence-to-sequence based speech processing engine

PyTorch Implementation of Google's Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions. This implementation supports both single-, multi-speaker TTS and several techniques to enforce the robustness and efficiency of the model.

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

YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone

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

Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application.

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

Implementation of "Duration Informed Attention Network for Multimodal Synthesis" (https://arxiv.org/pdf/1909.01700.pdf) paper.

Spoken Word

Lingvo

😝 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)

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.

MARY TTS -- an open-source, multilingual text-to-speech synthesis system written in pure java

PyTorch Implementation of Non-autoregressive Expressive (emotional, conversational) TTS based on FastSpeech2, supporting English, Korean, and your own languages.

VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

Desktop application for neural speech synthesis written in C++

Microsoft Text-to-Speech API sample code in several languages, part of Cognitive Services.

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

Thorsten-Voice: A free to use, offline working, high quality german TTS voice should be available for every project without any license struggling.

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

AdaSpeech: Adaptive Text to Speech for Custom Voice

PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech

ttslearn: Library for Pythonで学ぶ音声合成 (Text-to-speech with Python)

Speech synthesis running on ESP32 based on Flite engine.

LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search

Translations with speech synthesis in your terminal as a ruby gem

Audio samples accompanying publications related to Tacotron, an end-to-end speech synthesis model.

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PORORO: Platform Of neuRal mOdels for natuRal language prOcessing

The J.A.R.V.I.S. Speech API is designed to be simple and efficient, using the speech engines created by Google to provide functionality for parts of the API. Essentially, it is an API written in Java, including a recognizer, synthesizer, and a microphone capture utility. The project uses Google services for the synthesizer and recognizer. While this requires an Internet connection, it provides a complete, modern, and fully functional speech API in Java.

AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

eSpeak NG is an open source speech synthesizer that supports more than hundred languages and accents.

PyTorch implementation of GAN-based text-to-speech synthesis and voice conversion (VC)

MelGAN vocoder (compatible with NVIDIA/tacotron2)

Wavenet and its applications with Tensorflow