Large language models (LLMs) have demonstrated the potential to perform
...
This paper introduces a new speech dataset called “LibriTTS-R” designed ...
This paper presents Translatotron 3, a novel approach to train a direct
...
Speech restoration (SR) is a task of converting degraded speech signals ...
Adapting a neural text-to-speech (TTS) model to a target speaker typical...
This paper proposes Virtuoso, a massively multilingual speech-text joint...
Denoising diffusion probabilistic models (DDPMs) and generative adversar...
Transfer tasks in text-to-speech (TTS) synthesis - where one or more asp...
We present Maestro, a self-supervised training method to unify
represent...
Neural vocoder using denoising diffusion probabilistic model (DDPM) has ...
We introduce CVSS, a massively multilingual-to-English speech-to-speech
...
This paper introduces WaveGrad 2, a non-autoregressive generative model ...
This paper introduces PnG BERT, a new encoder model for neural TTS. This...
This paper introduces Parallel Tacotron 2, a non-autoregressive neural
t...
Although neural end-to-end text-to-speech models can synthesize highly
n...
This paper presents Non-Attentive Tacotron based on the Tacotron 2
text-...
This paper introduces WaveGrad, a conditional model for waveform generat...
This paper proposes a hierarchical, fine-grained and interpretable laten...
Recent neural text-to-speech (TTS) models with fine-grained latent featu...
We present a multispeaker, multilingual text-to-speech (TTS) synthesis m...
This paper introduces a new speech corpus called "LibriTTS" designed for...
Lingvo is a Tensorflow framework offering a complete solution for
collab...
This paper proposes a neural end-to-end text-to-speech (TTS) model which...
We present a meta-learning approach for adaptive text-to-speech (TTS) wi...
The recently-developed WaveNet architecture is the current state of the ...
This paper introduces WaveNet, a deep neural network for generating raw ...
Acoustic models based on long short-term memory recurrent neural network...