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Akademický článek

Automatic detection of attachment style in married couples through conversation analysis

Autor: Tuğçe Melike Koçak, Büşra Çilem Dibek, Esma Nafiye Polat, Nilüfer Kafesçioğlu, Cenk Demiroğlu

Publikováno v: EURASIP Journal on Audio, Speech, and Music Processing, Vol 2023, Iss 1, Pp 1-19 (2023)

Abstract Analysis of couple interactions using speech processing techniques is an increasingly active multi-disciplinary field that poses challenges such as automatic relationship quality assessment and behavioral coding. Here, we focused on the pred

Externí odkaz: https://doaj.org/article/1e00001bbca8469c8cb683adbf1b962b

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Akademický článek

Exploring the ability of vocal biomarkers in distinguishing depression from bipolar disorder, schizophrenia, and healthy controls

Autor: Wei Pan, Fusong Deng, Xianbin Wang, Bowen Hang, Wenwei Zhou, Tingshao Zhu

Publikováno v: Frontiers in Psychiatry, Vol 14 (2023)

BackgroundVocal features have been exploited to distinguish depression from healthy controls. While there have been some claims for success, the degree to which changes in vocal features are specific to depression has not been systematically studied.

Externí odkaz: https://doaj.org/article/d141de8bb0a54426b9904f5e0539b95f

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Akademický článek

Automated Dysarthria Severity Classification: A Study on Acoustic Features and Deep Learning Techniques

Autor: Amlu Anna Joshy, Rajeev Rajan

Publikováno v: IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 1147-1157 (2022)

Assessing the severity level of dysarthria can provide an insight into the patient’s improvement, assist pathologists to plan therapy, and aid automatic dysarthric speech recognition systems. In this article, we present a comparative study on the c

Externí odkaz: https://doaj.org/article/f5833a587fb940579f70d5f0a5ead5e6

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Akademický článek

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Akademický článek

Classifying Alzheimer's Disease Using Audio and Text-Based Representations of Speech

Autor: R'mani Haulcy, James Glass

Publikováno v: Frontiers in Psychology, Vol 11 (2021)

Alzheimer's Disease (AD) is a form of dementia that affects the memory, cognition, and motor skills of patients. Extensive research has been done to develop accessible, cost-effective, and non-invasive techniques for the automatic detection of AD. Pr

Externí odkaz: https://doaj.org/article/aa83cf9a7f6e45f7b01a2d37636c079e

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Akademický článek

Speaker verification system based on articulatory information from ultrasound recordings

Autor: Franklin Alexander Sepulveda Sepulveda, Dagoberto Porras-Plata, Milton Sarria-Paja

Publikováno v: Dyna, Vol 87, Iss 213 (2020)

Current state-of-the-art speaker verification (SV) systems are known to be strongly affected by unexpected variability presented during testing, such as environmental noise or changes in vocal effort. In this work, we analyze and evaluate articulator

Externí odkaz: https://doaj.org/article/8658ec64e45b4f5abf470008f017620a

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Akademický článek

SPEAKER-DEPENDENT FEATURES FOR SPONTANEOUS SPEECH RECOGNITION

Autor: I. P. Medennikov

Publikováno v: Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 16, Iss 1, Pp 195-197 (2016)

This paper presents the results of the study on improving robustness to the acoustic variability of the speech signal for spontaneous speech recognition system. The method is proposed to constructing high-level bottleneck features using deep neural n

Externí odkaz: https://doaj.org/article/e7b30b1107b443fc9ff51ab14c033e57

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Akademický článek

Speaker Recognition from Emotional Speech Using I-vector Approach

Autor: MACKOVÁ Lenka, CIŽMÁR Anton

Publikováno v: Journal of Electrical and Electronics Engineering, Vol 7, Iss 1, Pp 93-96 (2014)

In recent years the concept of i-vectors become very popular and successful in the field of the speaker verification. The basic principle of i-vectors is that each utterance is represented by fixed-length feature vector of low-dimension. In the liter

Externí odkaz: https://doaj.org/article/df82519533094d779eaac47324619393

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Is the Language Familiarity Effect gradual ? A computational modelling approach

Autor: Maureen de Seyssel, Guillaume Wisniewski, Emmanuel Dupoux

Publikováno v: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 44, iss 44
CogSci 2022-44th Annual Meeting of the Cognitive Science Society
CogSci 2022-44th Annual Meeting of the Cognitive Science Society, Jul 2022, Toronto, Canada
Maureen de Seyssel

According to the Language Familiarity Effect (LFE), people are better at discriminating between speakers of their native language. Although this cognitive effect was largely studied in the literature, experiments have only been conducted on a limited

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b6c3c198157442922667fd445b85738
https://escholarship.org/uc/item/5p3394r2

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