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May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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?

Studying speech using the divide-and-conquer method [Review of the book Neural Control of Speech, by F. H. Guenther]

Voprosy Jazykoznanija. 2018. Vol. 2. P. 145–150.
Tomas E.

Classical models of speech production have primarily focused on the psycholinguistic aspects
of the process, identifying its components (i. e., meaning generation, lexical selection, functional assignment, phonological encoding and articulation) and how they interact [Bock, Levelt 1994; Dell, Change, Griffin 1999; Fromkin 1973; Garrett 1975 et al.]. This integral approach has pro- vided us with a solid conceptual understanding of the various processes involved at every stage of speech production, suggesting, however, that each of these stages is likely to have its own unique operational mechanisms. Thus, a more detailed exploration of each of these individual components of the speech production system is now required to build more refined and realis- tic models of speech production, reflecting how this multicomponent task of communication is orchestrated by the brain. For example, the articulation of speech needs to be studied separately from the lexical selection process because each relies on its own specific set of neuroanatomical structures and has its individual mechanisms of functioning and pathogenesis. “Neural Control of Speech” by F. H. Guenther is a brilliant attempt to tackle the problem using the “divide and conquer” approach. 

Research target: Philology and Linguistics Psychology
Priority areas: humanitarian
Language: English
Keywords: speech
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