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Comparing normalizing flows and diffusion models for prosody and
  acoustic modelling in text-to-speech

Comparing normalizing flows and diffusion models for prosody and acoustic modelling in text-to-speech

31 July 2023
Guangyan Zhang
Thomas Merritt
M. Ribeiro
Biel Tura Vecino
K. Yanagisawa
Kamil Pokora
Abdelhamid Ezzerg
Sebastian Cygert
Ammar Abbas
Piotr Bilinski
Roberto Barra-Chicote
Daniel Korzekwa
Jaime Lorenzo-Trueba
    DiffM
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Papers citing "Comparing normalizing flows and diffusion models for prosody and acoustic modelling in text-to-speech"

5 / 5 papers shown
Title
An Exhaustive Evaluation of TTS- and VC-based Data Augmentation for ASR
Sewade Ogun
Vincent Colotte
Emmanuel Vincent
61
0
0
11 Mar 2025
On the Problem of Text-To-Speech Model Selection for Synthetic Data
  Generation in Automatic Speech Recognition
On the Problem of Text-To-Speech Model Selection for Synthetic Data Generation in Automatic Speech Recognition
Nick Rossenbach
Ralf Schluter
S. Sakti
27
2
0
31 Jul 2024
Should you use a probabilistic duration model in TTS? Probably!
  Especially for spontaneous speech
Should you use a probabilistic duration model in TTS? Probably! Especially for spontaneous speech
Shivam Mehta
Harm Lameris
Rajiv Punmiya
Jonas Beskow
Éva Székely
G. Henter
33
1
0
08 Jun 2024
iEmoTTS: Toward Robust Cross-Speaker Emotion Transfer and Control for
  Speech Synthesis based on Disentanglement between Prosody and Timbre
iEmoTTS: Toward Robust Cross-Speaker Emotion Transfer and Control for Speech Synthesis based on Disentanglement between Prosody and Timbre
Guangyan Zhang
Ying Qin
Wenbo Zhang
Jialun Wu
Mei Li
Yu Gai
Feijun Jiang
Tan Lee
50
26
0
29 Jun 2022
Universal Neural Vocoding with Parallel WaveNet
Universal Neural Vocoding with Parallel WaveNet
Yunlong Jiao
Adam Gabry's
Georgi Tinchev
Bartosz Putrycz
Daniel Korzekwa
V. Klimkov
36
42
0
01 Feb 2021
1