Results 41 to 50 of about 10,858,950 (355)
Robust and language-independent acoustic features in Parkinson's disease
IntroductionThe analysis of vocal samples from patients with Parkinson's disease (PDP) can be relevant in supporting early diagnosis and disease monitoring.
Sabrina Scimeca +7 more
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Musical Preference: Role of Personality and Music-Related Acoustic Features
Personality factors, typically determined by the Big Five Inventory (BFI), have been a primary method for investigating individual preferences in music.
Maya B. Flannery, M. Woolhouse
semanticscholar +1 more source
Dementia Detection with Phonetic and Phonological Features
In this paper the ADDReSS challenge dataset was used for training and testing a binary classifier designed to diagnose AD. This dataset consists of transcripts of descriptions of the Cookie Theft picture, produced by 54 subjects in the training part and ...
M. Zakaria Kurdi
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A New Acoustic-Based Pronunciation Distance Measure
We present an acoustic distance measure for comparing pronunciations, and apply the measure to assess foreign accent strength in American-English by comparing speech of non-native American-English speakers to a collection of native American-English ...
Martijn Bartelds +3 more
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This paper proposes a comprehensive study on machine listening for localisation of snore sound excitation. Here we investigate the effects of varied frame sizes, and overlap of the analysed audio chunk for extracting low-level descriptors.
Kun QIAN +9 more
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Passive Acoustic Monitoring (PAM) is emerging as a solution for monitoring species and environmental change over large spatial and temporal scales.
Simone Cominelli +4 more
semanticscholar +1 more source
Exploring the connection of acoustic and distinctive features [PDF]
This study is a contribution to link the abstract phonological level to the acoustic signal level by identifying the main acoustic correlates for the distinctive feature set developed by Chomsky and Halle (1968). The acoustic features were extracted by the openSMILE toolkit from spontaneous speech data.
Kisler, Thomas, Reichel, Uwe D.
openaire +2 more sources
An Ensemble Model for Multi-Level Speech Emotion Recognition
Speech emotion recognition is a challenging and widely examined research topic in the field of speech processing. The accuracy of existing models in speech emotion recognition tasks is not high, and the generalization ability is not strong.
Chunjun Zheng, Chunli Wang, Ning Jia
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Intonation processing of interrogative words in Mandarin: an event-related potential study
Intonation is the variation in pitch used in speech, which forms the premise of tonal and non-tonal languages. Interrogative words are words that introduce questions.
Rui Wang +2 more
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A Novel Approach for Classification of Speech Emotions Based on Deep and Acoustic Features
The problem of recognition and classification of emotions in speech is one of the most prominent research topics, that has gained popularity, in human-computer interaction in the last decades.
M. Er
semanticscholar +1 more source

