Speech Synthesis

110 papers with code • 2 benchmarks • 12 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 )

Greatest papers with code

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.

Speech Synthesis Text-To-Speech Synthesis

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.

Speech Synthesis Text-To-Speech Synthesis

A Spectral Energy Distance for Parallel Speech Synthesis

google-research/google-research NeurIPS 2020

Speech synthesis is an important practical generative modeling problem that has seen great progress over the last few years, with likelihood-based autoregressive neural models now outperforming traditional concatenative systems.

Speech Synthesis

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.

Audio Generation Speech Synthesis

Towards Natural Bilingual and Code-Switched Speech Synthesis Based on Mix of Monolingual Recordings and Cross-Lingual Voice Conversion

espnet/espnet 16 Oct 2020

With these data, three neural TTS models -- Tacotron2, Transformer and FastSpeech are applied for building bilingual and code-switched TTS.

Speech Synthesis Voice Conversion

Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions

NVIDIA/tacotron2 16 Dec 2017

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

Speech Synthesis

Handling Background Noise in Neural Speech Generation

google/lyra 23 Feb 2021

Recent advances in neural-network based generative modeling of speech has shown great potential for speech coding.

Denoising Speech Synthesis

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

TensorSpeech/TensorflowTTS NeurIPS 2020

Several recent work on speech synthesis have employed generative adversarial networks (GANs) to produce raw waveforms.

Speech Synthesis

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

TensorSpeech/TensorflowTTS 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.

Knowledge Distillation Speech Synthesis