Recent advancements in neural end-to-end text-to-speech (TTS) models have shown high-
quality, natural synthesized speech in a conventional sentence-based TTS. However, it is …

In this paper, we present CopyCat2 (CC2), a novel model capable of: a) synthesizing
speech with different speaker identities, b) generating speech with expressive and …

Duration modelling has become an important research problem once more with the rise of
non-attention neural text-to-speech systems. The current approaches largely fall back to …

Text alone does not contain sufficient information to predict the spoken form. Using
additional information, such as the linguistic context, should improve Text-to-Speech …

End-to-end text-to-speech synthesis (TTS) can generate highly natural synthetic speech
from raw text. However, rendering the correct pitch accents is still a challenging problem for …

In this paper, we present a novel method for phoneme-level prosody control of F0 and
duration using intuitive discrete labels. We propose an unsupervised prosodic clustering …

In human speech, the attitude of a speaker cannot be fully expressed only by the textual
content. It has to come along with the intonation. Declarative questions are commonly used …

Many factors influence speech yielding different renditions of a given sentence. Generative
models, such as variational autoencoders (VAEs), capture this variability and allow multiple …

To address the issue of one-to-many mapping from phoneme sequences to acoustic
features in expressive speech synthesis, this paper proposes a method of discourse-level …

We present eCat, a novel end-to-end multispeaker model capable of: a) generating long-
context speech with expressive and contextually appropriate prosody, and b) performing fine …