Distribution augmentation for low-resource expressive text-to-speech

Distribution augmentation for low-resource expressive text-to-speech

13 February 2022

Mateusz Lajszczak

Arent van Korlaar

Bajibabu Bollepalli

Trevor Wood

Papers citing "Distribution augmentation for low-resource expressive text-to-speech"

8 / 8 papers shown

Title
ELAICHI: Enhancing Low-resource TTS by Addressing Infrequent and Low-frequency Character Bigrams Srija Anand Praveen Srinivasa Varadhan Mehak Singal Mitesh M. Khapra 23 0 0 23 Oct 2024
BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data Mateusz Lajszczak Guillermo Cámbara Yang Li Fatih Beyhan Arent van Korlaar ... Bartosz Putrycz Soledad López Gambino Kayeon Yoo Elena Sokolova Thomas Drugman LM&MA 33 72 0 12 Feb 2024
Controllable Emphasis with zero data for text-to-speech Arnaud Joly M. Nicolis Ekaterina Peterova Alessandro Lombardi Ammar Abbas ... Mateusz Lajszczak Penny Karanasou A. Bonafonte Thomas Drugman Elena Sokolova 19 1 0 13 Jul 2023
Low-Resource Text-to-Speech Using Specific Data and Noise Augmentation K. Lakshminarayana C. Dittmar N. Pia Emanuel Habets 21 0 0 16 Jun 2023
RWEN-TTS: Relation-aware Word Encoding Network for Natural Text-to-Speech Synthesis Shinhyeok Oh HyeongRae Noh Yoonseok Hong Insoo Oh 18 0 0 15 Dec 2022
An Overview of Affective Speech Synthesis and Conversion in the Deep Learning Era Andreas Triantafyllopoulos Björn W. Schuller Gokcce .Iymen M. Sezgin Xiangheng He ... Shuo Liu Silvan Mertes Elisabeth André Ruibo Fu Jianhua Tao 15 53 0 06 Oct 2022
Universal Neural Vocoding with Parallel WaveNet Yunlong Jiao Adam Gabry's Georgi Tinchev Bartosz Putrycz Daniel Korzekwa V. Klimkov 34 42 0 01 Feb 2021
Substructure Substitution: Structured Data Augmentation for NLP Freda Shi Karen Livescu Kevin Gimpel 190 41 0 02 Jan 2021