Gasper Begus

Orcid: 0000-0002-6459-0551

According to our database1, Gasper Begus authored at least 17 papers between 2020 and 2023.

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Bibliography

2023
CiwaGAN: Articulatory information exchange.
CoRR, 2023

Large language models and (non-)linguistic recursion.
CoRR, 2023

Basic syntax from speech: Spontaneous concatenation in unsupervised deep neural networks.
CoRR, 2023

Large Linguistic Models: Analyzing theoretical linguistic abilities of LLMs.
CoRR, 2023

AI-assisted coding: Experiments with GPT-4.
CoRR, 2023

Approaching an unknown communication system by latent space exploration and causal inference.
CoRR, 2023

Articulation GAN: Unsupervised Modeling of Articulatory Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Interpreting Intermediate Convolutional Layers of Generative CNNs Trained on Waveforms.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Local and non-local dependency learning and emergence of rule-like representations in speech data by deep convolutional generative adversarial networks.
Comput. Speech Lang., 2022

Modeling speech recognition and synthesis simultaneously: Encoding and decoding lexical and sublexical semantic information into speech with no direct access to speech data.
Proceedings of the Interspeech 2022, 2022

Interpreting Intermediate Convolutional Layers In Unsupervised Acoustic Word Classification.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Identity-Based Patterns in Deep Convolutional Networks: Generative Adversarial Phonology and Reduplication.
Trans. Assoc. Comput. Linguistics, 2021

CiwGAN and fiwGAN: Encoding information in acoustic data to model lexical learning with Generative Adversarial Networks.
Neural Networks, 2021

Interpreting intermediate convolutional layers of CNNs trained on raw speech.
CoRR, 2021

Cetacean Translation Initiative: a roadmap to deciphering the communication of sperm whales.
CoRR, 2021

2020
Generative Adversarial Phonology: Modeling Unsupervised Phonetic and Phonological Learning With Neural Networks.
Frontiers Artif. Intell., 2020

Artificial sound change: Language change and deep convolutional neural networks in iterative learning.
CoRR, 2020


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