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07/31/2023
Comparing normalizing flows and diffusion models for prosody and acoustic modelling in text-to-speech
Neural text-to-speech systems are often optimized on L1/L2 losses, which...
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01/26/2023
On granularity of prosodic representations in expressive text-to-speech
In expressive speech synthesis it is widely adopted to use latent prosod...
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09/13/2022
Automated detection of pronunciation errors in non-native English speech employing deep learning
Despite significant advances in recent years, the existing Computer-Assi...
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07/02/2022
Computer-assisted Pronunciation Training – Speech synthesis is almost all you need
The research community has long studied computer-assisted pronunciation ...
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03/15/2022
Text-free non-parallel many-to-many voice conversion using normalising flows
Non-parallel voice conversion (VC) is typically achieved using lossy rep...
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08/13/2021
Enhancing audio quality for expressive Neural Text-to-Speech
Artificial speech synthesis has made a great leap in terms of naturalnes...
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06/24/2021
Non-Autoregressive TTS with Explicit Duration Modelling for Low-Resource Highly Expressive Speech
Whilst recent neural text-to-speech (TTS) approaches produce high-qualit...
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06/16/2021
Improving the expressiveness of neural vocoding with non-affine Normalizing Flows
This paper proposes a general enhancement to the Normalizing Flows (NF) ...
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06/07/2021
Weakly-supervised word-level pronunciation error detection in non-native English speech
We propose a weakly-supervised model for word-level mispronunciation det...
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02/01/2021
Universal Neural Vocoding with Parallel WaveNet
We present a universal neural vocoder based on Parallel WaveNet, with an...
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01/16/2021
Mispronunciation Detection in Non-native (L2) English with Uncertainty Modeling
A common approach to the automatic detection of mispronunciation in lang...
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12/29/2020
Detection of Lexical Stress Errors in Non-native (L2) English with Data Augmentation and Attention
This paper describes two novel complementary techniques that improve the...
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07/10/2019
Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech
This paper proposed a novel approach for the detection and reconstructio...
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11/15/2018
