Vector-quantized neural networks for acoustic unit discovery in the zerospeech 2020 challenge
In this paper, we explore vector quantization for acoustic unit discovery. Leveraging
unlabelled data, we aim to learn discrete representations of speech that separate phonetic …
unlabelled data, we aim to learn discrete representations of speech that separate phonetic …
Unsupervised acoustic unit discovery for speech synthesis using discrete latent-variable neural networks
For our submission to the ZeroSpeech 2019 challenge, we apply discrete latent-variable
neural networks to unlabelled speech and use the discovered units for speech synthesis …
neural networks to unlabelled speech and use the discovered units for speech synthesis …
[HTML][HTML] CiwGAN and fiwGAN: Encoding information in acoustic data to model lexical learning with Generative Adversarial Networks
G Beguš - Neural Networks, 2021 - Elsevier
How can deep neural networks encode information that corresponds to words in human
speech into raw acoustic data? This paper proposes two neural network architectures for …
speech into raw acoustic data? This paper proposes two neural network architectures for …
Generative adversarial phonology: Modeling unsupervised phonetic and phonological learning with neural networks
G Beguš - Frontiers in artificial intelligence, 2020 - frontiersin.org
Training deep neural networks on well-understood dependencies in speech data can
provide new insights into how they learn internal representations. This paper argues that …
provide new insights into how they learn internal representations. This paper argues that …
Infant phonetic learning as perceptual space learning: A crosslinguistic evaluation of computational models
In the first year of life, infants' speech perception becomes attuned to the sounds of their
native language. This process of early phonetic learning has traditionally been framed as …
native language. This process of early phonetic learning has traditionally been framed as …
Identity-based patterns in deep convolutional networks: Generative adversarial phonology and reduplication
G Beguš - Transactions of the Association for Computational …, 2021 - direct.mit.edu
This paper models unsupervised learning of an identity-based pattern (or copying) in
speech called reduplication from raw continuous data with deep convolutional neural …
speech called reduplication from raw continuous data with deep convolutional neural …
[HTML][HTML] Local and non-local dependency learning and emergence of rule-like representations in speech data by deep convolutional generative adversarial networks
G Beguš - Computer speech & language, 2022 - Elsevier
This paper argues that training Generative Adversarial Networks (GANs) on local and non-
local dependencies in speech data offers insights into how deep neural networks discretize …
local dependencies in speech data offers insights into how deep neural networks discretize …
[PDF][PDF] Modeing unsupervised phonetic and phonological learning in Generative Adversarial Phonology
G Beguš - Proceedings of the Society for Computation in …, 2020 - aclanthology.org
This paper models phonetic and phonological learning as a dependency between random
space and generated speech data in the Generative Adversarial Neural network architecture …
space and generated speech data in the Generative Adversarial Neural network architecture …
Modeling speech recognition and synthesis simultaneously: Encoding and decoding lexical and sublexical semantic information into speech with no direct access to …
G Beguš, A Zhou - arxiv preprint arxiv:2203.11476, 2022 - arxiv.org
Human speakers encode information into raw speech which is then decoded by the
listeners. This complex relationship between encoding (production) and decoding …
listeners. This complex relationship between encoding (production) and decoding …
Cognitive model of phonological awareness focusing on errors and formation process through Shiritori
J Nishikawa, J Morita - Advanced Robotics, 2022 - Taylor & Francis
Language acquisition is supported by phonological awareness, which intentionally makes
children aware of phonological units. By understanding the internal processes of children …
children aware of phonological units. By understanding the internal processes of children …