activity
20182025
most citedThe Voice Conversion Challenge 2018: Promoting Development of Parallel and Nonparallel Methods

66 citations · 217 across the 27 of their papers we have counts for

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Showing cs.CLShow all

5 papers · 1 filter

cs.CL2023

Multilingual context-based pronunciation learning for Text-to-Speech

Giulia Comini, Manuel Sam Ribeiro, Fan Yang +2

Phonetic information and linguistic knowledge are an essential component of a Text-to-speech (TTS) front-end. Given a language, a lexicon can be collected offline and Grapheme-to-P…

cs.CL2021

Proteno: Text Normalization with Limited Data for Fast Deployment in Text to Speech Systems

Shubhi Tyagi, Antonio Bonafonte, Jaime Lorenzo-Trueba +1

Developing Text Normalization (TN) systems for Text-to-Speech (TTS) on new languages is hard. We propose a novel architecture to facilitate it for multiple languages while using da…

cs.CL2019★ 30 cited

Dynamic Prosody Generation for Speech Synthesis using Linguistics-Driven Acoustic Embedding Selection

Shubhi Tyagi, Marco Nicolis, Jonas Rohnke +2

Recent advances in Text-to-Speech (TTS) have improved quality and naturalness to near-human capabilities when considering isolated sentences. But something which is still lacking i…

cs.CL2019★ 1 cited

In Other News: A Bi-style Text-to-speech Model for Synthesizing Newscaster Voice with Limited Data

Nishant Prateek, Mateusz Łajszczak, Roberto Barra-Chicote +5

Neural text-to-speech synthesis (NTTS) models have shown significant progress in generating high-quality speech, however they require a large quantity of training data. This makes…

cs.CL2018

Effect of data reduction on sequence-to-sequence neural TTS

Javier Latorre, Jakub Lachowicz, Jaime Lorenzo-Trueba +4

Recent speech synthesis systems based on sampling from autoregressive neural networks models can generate speech almost undistinguishable from human recordings. However, these mode…