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Avashna Govender
Avashna Govender
Marie Curie Fellow at Centre for Speech Technology Research, University of Edinburgh
Verified email at sms.ed.ac.uk - Homepage
Title
Cited by
Cited by
Year
ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech
X Wang, J Yamagishi, M Todisco, H Delgado, A Nautsch, N Evans, ...
Computer Speech & Language 64, 101114, 2020
2912020
Unsupervised acoustic unit discovery for speech synthesis using discrete latent-variable neural networks
R Eloff, A Nortje, B van Niekerk, A Govender, L Nortje, A Pretorius, ...
arXiv preprint arXiv:1904.07556, 2019
572019
Using pupillometry to measure the cognitive load of synthetic speech
A Govender, S King
System 50 (100), 2018-1174, 2018
442018
Using Pupil Dilation to Measure Cognitive Load When Listening to Text-to-Speech in Quiet and in Noise.
A Govender, AE Wagner, S King
INTERSPEECH, 1551-1555, 2019
132019
Measuring the Cognitive Load of Synthetic Speech Using a Dual Task Paradigm.
A Govender, S King
INTERSPEECH, 2843-2847, 2018
132018
Measuring the contribution to cognitive load of each predicted vocoder speech parameter in DNN-based speech synthesis}}
A Govender, C Valentini-Botinhao, S King
Submitted to Speech Synthesis Workshop (SSW) 2019, 2019
72019
The Speect text-to-speech entry for the Blizzard Challenge 2016
JA Louw, A Moodley, A Govender
Blizzard Challenge, 2016
62016
HMM adaptation for child speech synthesis
A Govender, F De Wet, JR Tapamo
Technische Universität Berlin, 2015
52015
The CSTR entry to the 2018 Blizzard Challenge
A Govender, MS Ribeiro, CV Botinhao, O Watts
Blizzard Challenge 2018 Workshop, 2018
42018
Objective measures to improve the selection of training speakers in HMM-based child speech synthesis
A Govender, F De Wet
2016 Pattern Recognition Association of South Africa and Robotics and …, 2016
42016
HMM Adaptation for child speech synthesis using ASR data
A Govender, B Nouhou, F De Wet
2015 Pattern Recognition Association of South Africa and Robotics and …, 2015
42015
Building synthetic voices for under-resourced languages: The feasibility of using audiobook data
F de Wet, W Van der Walt, N Dlamini, A Govender
2017 Pattern Recognition Association of South Africa and Robotics and …, 2017
22017
Exploring ASR fine-tuning on limited domain-specific data for low-resource languages
F Mak, A Govender, J Badenhorst
Journal of the Digital Humanities Association of Southern Africa 5 (1), 2024
2024
Cognitive load of modern TTS systems under noisy conditions
A Govender, S King
2023
Multi-MelGAN voice conversion for the creation of under-resourced child speech synthesis
A Govender, D Paul
2022 IST-Africa Conference (IST-Africa), 1-6, 2022
2022
Evaluating Cognitive Load of Text-To-Speech (TTS) synthesis
A Govender, S King, C Valentini-Botinhao
Universitätsbibliothek der RWTH Aachen, 2019
2019
Building synthetic voices for under-resourced languages: a comparison between audiobook and studio data
F De Wet, N Dlamini, WJ Van der Walt, A Govender
IEEE, 2017
2017
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