AIMC Topic: Phonetics

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Real-Time Control of an Articulatory-Based Speech Synthesizer for Brain Computer Interfaces.

PLoS computational biology Nov 23, 2016
Restoring natural speech in paralyzed and aphasic people could be achieved using a Brain-Computer Interface (BCI) controlling a speech synthesizer in real-time. To reach this goal, a prerequisite is to develop a speech synthesizer producing intelligi...
Humans Neural Networks, Computer Computer Systems Communication Devices for People with Disabilities Speech Production Measurement Speech Intelligibility Biofeedback, Psychology Phonetics Sound Spectrography Speech Acoustics Brain-Computer Interfaces
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What can Neighbourhood Density effects tell us about word learning? Insights from a connectionist model of vocabulary development.

Journal of child language Feb 17, 2016
In this paper, we investigate the effect of neighbourhood density (ND) on vocabulary size in a computational model of vocabulary development. A word has a high ND if there are many words phonologically similar to it. High ND words are more easily lea...
Phonetics Language Development Language Development Disorders Learning Probability Humans Vocabulary Neural Networks, Computer Computer Simulation Machine Learning Language
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Learning to Produce Syllabic Speech Sounds via Reward-Modulated Neural Plasticity.

PloS one Jan 25, 2016
At around 7 months of age, human infants begin to reliably produce well-formed syllables containing both consonants and vowels, a behavior called canonical babbling. Over subsequent months, the frequency of canonical babbling continues to increase. H...
Infant Language Development Reward Lip Auditory Perception Dopamine Machine Learning Jaw Motor Neurons Humans Laryngeal Muscles Computer Simulation Nerve Net Neuronal Plasticity Phonetics Neural Networks, Computer Feedback Motor Cortex Models, Neurological
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Using articulatory feature detectors in progressive networks for multilingual low-resource phone recognitiona).

The Journal of the Acoustical Society of America Nov 1, 2024
Systems inspired by progressive neural networks, transferring information from end-to-end articulatory feature detectors to similarly structured phone recognizers, are described. These networks, connecting the corresponding recurrent layers of pre-tr...
Speech Acoustics Humans Multilingualism Neural Networks, Computer Speech Production Measurement Language Speech Recognition Software Phonetics
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Evaluating the consistency of lenition measures: Neural networks' posterior probability, intensity velocity, and duration.

The Journal of the Acoustical Society of America Aug 1, 2024
Predictions of gradient degree of lenition of voiceless and voiced stops in a corpus of Argentine Spanish are evaluated using three acoustic measures (minimum and maximum intensity velocity and duration) and two recurrent neural network (Phonet) meas...
Speech Production Measurement Probability Humans Phonetics Speech Acoustics Neural Networks, Computer Time Factors Acoustics
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Decision Tree Versus Linear Support Vector Machine Classifier in the Screening of Medial Speech Sounds: A Quest for a Sound Rationale.

Studies in health technology and informatics Oct 20, 2023
This paper describes the latest development in the classification stage of our Speech Sound Disorder (SSD) Screening algorithm and presents the results achieved by using two classifier models: the Classification and Regression Tree (CART)-based model...
Sound Algorithms Phonetics Support Vector Machine Decision Trees
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Japanese Braille Translation Using Deep Learning - Conversion from Phonetic Characters (Kana) to Homonymic Characters (Kanji).

Studies in health technology and informatics Aug 23, 2023
A blind student writes and submits reports in Braille word processor, which is difficult for teachers to read. This study's purpose is to make a translator from Braille into mixed Kana-Kanji sentences for such teachers. Because Kanji has homonyms, it...
Humans Language Translations Blindness Reading Deep Learning Japan Phonetics Teaching Sensory Aids
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A Cross-Modal and Cross-lingual Study of Iconicity in Language: Insights From Deep Learning.

Cognitive science Jun 1, 2022
The present paper addresses the study of non-arbitrariness in language within a deep learning framework. We present a set of experiments aimed at assessing the pervasiveness of different forms of non-arbitrary phonological patterns across a set of ty...
Language Development Semantics Phonetics Humans Language Deep Learning
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Early phonetic learning without phonetic categories: Insights from large-scale simulations on realistic input.

Proceedings of the National Academy of Sciences of the United States of America Feb 9, 2021
Before they even speak, infants become attuned to the sounds of the language(s) they hear, processing native phonetic contrasts more easily than nonnative ones. For example, between 6 to 8 mo and 10 to 12 mo, infants learning American English get bet...
Speech Perception Phonetics Language Development Models, Neurological Natural Language Processing Speech Recognition Software Humans
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Highlighting interlanguage phoneme differences based on similarity matrices and convolutional neural network.

The Journal of the Acoustical Society of America Jan 1, 2021
The goal of this research is to find a way of highlighting the acoustic differences between consonant phonemes of the Polish and Lithuanian languages. For this purpose, similarity matrices are employed based on speech acoustic parameters combined wit...
Phonetics Neural Networks, Computer Language Support Vector Machine Acoustics
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