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Potential of automatic speech processing technologies for early detection of oral language disorders: a meta-analytic review ...
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РЕЧЕВЕДЕНИЕ: ИСТОРИЯ, ТЕОРИЯ, ПРАКТИКА ... : SPEECHSCIENCE: HISTORY, THEORY, PRACTICE ...
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Соловьева Наталья Васильевна. - : Вестник Пермского государственного гуманитарно-педагогического университета. Серия № 3. Гуманитарные и общественные науки, 2022
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“Thou Shalt Not Take the Lord’s Name in Vain”: A Methodological Proposal to Identify Religious Hate Content on Digital Social Networks
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In: International Journal of Communication; Vol 16 (2022); 22 ; 1932-8036 (2022)
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Об истории речевых исследований в России ... : About the history of speech research in Russia ...
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The Impact of George W. Bush's Political Discourses on the Invasion of Iraq: A Corpus-Based Rhetoric Discourse Analysis ...
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The Impact of George W. Bush's Political Discourses on the Invasion of Iraq: A Corpus-Based Rhetoric Discourse Analysis ...
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Does high talker variability improve the learning of non-native phoneme contrasts? A replication ...
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A Preliminary Report of Network Electroencephalographic Measures in Primary Progressive Apraxia of Speech and Aphasia
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In: Brain Sciences; Volume 12; Issue 3; Pages: 378 (2022)
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Differences and Commonalities in Children with Childhood Apraxia of Speech and Comorbid Neurodevelopmental Disorders: A Multidimensional Perspective
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In: Journal of Personalized Medicine; Volume 12; Issue 2; Pages: 313 (2022)
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Contribution of Vocal Tract and Glottal Source Spectral Cues in the Generation of Acted Happy and Aggressive Spanish Vowels
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In: Applied Sciences; Volume 12; Issue 4; Pages: 2055 (2022)
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A Rule-Based Grapheme-to-Phoneme Conversion System
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In: Applied Sciences; Volume 12; Issue 5; Pages: 2758 (2022)
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Many Changes in Speech through Aging Are Actually a Consequence of Cognitive Changes
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In: International Journal of Environmental Research and Public Health; Volume 19; Issue 4; Pages: 2137 (2022)
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Artificial Neural Networks Combined with the Principal Component Analysis for Non-Fluent Speech Recognition
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In: Sensors; Volume 22; Issue 1; Pages: 321 (2022)
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Data-Driven Analysis of European Portuguese Nasal Vowel Dynamics in Bilabial Contexts
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In: Applied Sciences; Volume 12; Issue 9; Pages: 4601 (2022)
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Rethinking the Methods and Algorithms for Inner Speech Decoding and Making Them Reproducible
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In: NeuroSci; Volume 3; Issue 2; Pages: 226-244 (2022)
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Abstract:
This study focuses on the automatic decoding of inner speech using noninvasive methods, such as Electroencephalography (EEG). While inner speech has been a research topic in philosophy and psychology for half a century, recent attempts have been made to decode nonvoiced spoken words by using various brain–computer interfaces. The main shortcomings of existing work are reproducibility and the availability of data and code. In this work, we investigate various methods (using Convolutional Neural Network (CNN), Gated Recurrent Unit (GRU), Long Short-Term Memory Networks (LSTM)) for the detection task of five vowels and six words on a publicly available EEG dataset. The main contributions of this work are (1) subject dependent vs. subject-independent approaches, (2) the effect of different preprocessing steps (Independent Component Analysis (ICA), down-sampling and filtering), and (3) word classification (where we achieve state-of-the-art performance on a publicly available dataset). Overall we achieve a performance accuracy of 35.20% and 29.21% when classifying five vowels and six words, respectively, in a publicly available dataset, using our tuned iSpeech-CNN architecture. All of our code and processed data are publicly available to ensure reproducibility. As such, this work contributes to a deeper understanding and reproducibility of experiments in the area of inner speech detection.
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Keyword:
brain–computer interface (BCI); Convolutional Neural Network (CNN); deep learning; electroencephalography (EEG); independent component analysis; inner speech; supervised learning
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URL: https://doi.org/10.3390/neurosci3020017
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Using acoustic distance and acoustic absement to quantify lexical competition
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DCT vs. corpus orales: reflexiones metodológicas sobre el estudio de los actos de habla ; DCT vs. spoken corpora: methodologic reflections on the study of speech acts
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In: Pragmalingüística, (29), 377-395 (2022)
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Психофизиологические механизмы, лежащие в основе процесса восприятия речи ; Psychophysiological Mechanisms of the Speech Perception Process
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Квантитативный анализ речевого наполнения англоязычных телесериалов ; Quantitative Analysis of Speech Content of English-Language Television Series
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