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09/14/2023
CiwaGAN: Articulatory information exchange
Humans encode information into sounds by controlling articulators and de...
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06/12/2023
Large language models and (non-)linguistic recursion
Recursion is one of the hallmarks of human language. While many design f...
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05/02/2023
Basic syntax from speech: Spontaneous concatenation in unsupervised deep neural networks
Computational models of syntax are predominantly text-based. Here we pro...
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05/01/2023
Large Linguistic Models: Analyzing theoretical linguistic abilities of LLMs
The performance of large language models (LLMs) has recently improved to...
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04/25/2023
AI-assisted coding: Experiments with GPT-4
Artificial intelligence (AI) tools based on large language models have a...
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03/20/2023
Approaching an unknown communication system by latent space exploration and causal inference
This paper proposes a methodology for discovering meaningful properties ...
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10/27/2022
Articulation GAN: Unsupervised modeling of articulatory learning
Generative deep neural networks are widely used for speech synthesis, bu...
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03/22/2022
Modeling speech recognition and synthesis simultaneously: Encoding and decoding lexical and sublexical semantic information into speech with no direct access to speech data
Human speakers encode information into raw speech which is then decoded ...
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10/05/2021
Interpreting intermediate convolutional layers in unsupervised acoustic word classification
Understanding how deep convolutional neural networks classify data has b...
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04/19/2021
Interpreting intermediate convolutional layers of CNNs trained on raw speech
This paper presents a technique to interpret and visualize intermediate ...
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04/17/2021
Cetacean Translation Initiative: a roadmap to deciphering the communication of sperm whales
The past decade has witnessed a groundbreaking rise of machine learning ...
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11/10/2020
Artificial sound change: Language change and deep convolutional neural networks in iterative learning
This paper proposes a framework for modeling sound change that combines ...
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09/27/2020
Local and non-local dependency learning and emergence of rule-like representations in speech data by Deep Convolutional Generative Adversarial Networks
This paper argues that training GANs on local and non-local dependencies...
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09/13/2020
Identity-Based Patterns in Deep Convolutional Networks: Generative Adversarial Phonology and Reduplication
Identity-based patterns for which a computational model needs to output ...
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06/06/2020
Generative Adversarial Phonology: Modeling unsupervised phonetic and phonological learning with neural networks
Training deep neural networks on well-understood dependencies in speech ...
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06/04/2020