Speech Synthesis

280 papers with code • 4 benchmarks • 19 datasets

Speech synthesis is the task of generating speech from some other modality like text, lip movements etc.

Please note that the leaderboards here are not really comparable between studies - as they use mean opinion score as a metric and collect different samples from Amazon Mechnical Turk.

( Image credit: WaveNet: A generative model for raw audio )

Libraries

Use these libraries to find Speech Synthesis models and implementations

Most implemented papers

WaveNet: A Generative Model for Raw Audio

ibab/tensorflow-wavenet 12 Sep 2016

This paper introduces WaveNet, a deep neural network for generating raw audio waveforms.

FastSpeech 2: Fast and High-Quality End-to-End Text to Speech

coqui-ai/TTS ICLR 2021

In this paper, we propose FastSpeech 2, which addresses the issues in FastSpeech and better solves the one-to-many mapping problem in TTS by 1) directly training the model with ground-truth target instead of the simplified output from teacher, and 2) introducing more variation information of speech (e. g., pitch, energy and more accurate duration) as conditional inputs.

Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions

coqui-ai/TTS 16 Dec 2017

This paper describes Tacotron 2, a neural network architecture for speech synthesis directly from text.

Tacotron: Towards End-to-End Speech Synthesis

CorentinJ/Real-Time-Voice-Cloning 29 Mar 2017

A text-to-speech synthesis system typically consists of multiple stages, such as a text analysis frontend, an acoustic model and an audio synthesis module.

FastSpeech: Fast, Robust and Controllable Text to Speech

coqui-ai/TTS NeurIPS 2019

In this work, we propose a novel feed-forward network based on Transformer to generate mel-spectrogram in parallel for TTS.

MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis

descriptinc/melgan-neurips NeurIPS 2019

In this paper, we show that it is possible to train GANs reliably to generate high quality coherent waveforms by introducing a set of architectural changes and simple training techniques.

Efficient Neural Audio Synthesis

CorentinJ/Real-Time-Voice-Cloning ICML 2018

The small number of weights in a Sparse WaveRNN makes it possible to sample high-fidelity audio on a mobile CPU in real time.

Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram

coqui-ai/TTS 25 Oct 2019

We propose Parallel WaveGAN, a distillation-free, fast, and small-footprint waveform generation method using a generative adversarial network.

Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis

PaddlePaddle/PaddleSpeech ICML 2018

In this work, we propose "global style tokens" (GSTs), a bank of embeddings that are jointly trained within Tacotron, a state-of-the-art end-to-end speech synthesis system.