Results 1 to 10 of about 162 (83)
Multi-Input Speech Emotion Recognition Model Using Mel Spectrogram and GeMAPS [PDF]
Sensors, 2023 The existing research on emotion recognition commonly uses mel spectrogram (MelSpec) and Geneva minimalistic acoustic parameter set (GeMAPS) as acoustic parameters to learn the audio features.
Itsuki Toyoshima +4 more
doaj +8 more sources
A Comparison of Machine Learning Algorithms and Feature Sets for Automatic Vocal Emotion Recognition in Speech [PDF]
Sensors, 2022 Vocal emotion recognition (VER) in natural speech, often referred to as speech emotion recognition (SER), remains challenging for both humans and computers.
Cem Doğdu +4 more
doaj +4 more sources
Voice as a sensitive biomarker for predicting exercise intensity: a modelling study [PDF]
Frontiers in PhysiologyObjectiveThis study investigates the potential of using voice as a sensitive omics marker to predict exercise intensity.MethodsNinety-two healthy university students aged 18–25 participated in this cross-sectional study, engaging in physical activities ...
Shuyi Zhou +9 more
doaj +2 more sources
The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing [PDF]
IEEE Transactions on Affective Computing, 2016 Work on voice sciences over recent decades has led to a proliferation of acoustic parameters that are used quite selectively and are not always extracted in a similar fashion. With many independent teams working in different research areas, shared standards become an essential safeguard to ensure compliance with state-of-the-art methods allowing ...
Florian Eyben +10 more
core +6 more sources
Feature Integration Strategies for Neural Speaker Diarization in Conversational Telephone Speech
Applied SciencesThis paper addresses the challenge of optimizing end-to-end neural diarization systems for conversational telephone speech, focusing on diverse acoustic features beyond traditional Mel-filterbanks.
Juan Ignacio Alvarez-Trejos +2 more
doaj +2 more sources
Towards a vividness in synthesized speech for audiobooks [PDF]
Eesti ja Soome-ugri Keeleteaduse Ajakiri, 2019 The goal of this study was to determine which acoustic parameters are significant in differentiating the speaking styles of a narrator and that of male and female characters as voiced by a reader of audiobooks.
Hille Pajupuu, Rene Altrov, Jaan Pajupuu
doaj +2 more sources
Frontiers in Communication, 2023 The increasing prevalence of audio advertising has provided a challenge to find out more about voices and performance styles used in advertisements.
Hille Pajupuu +3 more
doaj +1 more source
Frontiers in Communication, 2023 ObjectiveThe goal of the study was to find out if, in a society where there is a large community of people for whom the official state language is a second language, they prefer to listen to state-language radio advertisements in the same performance ...
Rene Altrov +3 more
doaj +1 more source
Preference of voice and performance style in radio advertising
Eesti Rakenduslingvistika Ühingu AastaraamatThis study sought to find out which style of radio advertisement performance listeners consider likable, and which acoustic features differentiate the likable from the unlikable.
Hille Pajupuu, Rene Altrov, Jaan Pajupuu
doaj +1 more source
GEMap: A comprehensive gene essentiality map for drug discovery
Acta Pharmaceutica Sinica BGene essentiality (synonymous with dependency) mapping reveals therapeutic vulnerabilities for intractable oncogenes, yet integrated platforms bridging CRISPR functional genomics with drug discovery remain limited. To address this gap, we developed GEMap, A Gene Essentiality-Guided Platform for Drug Discovery, by combining genome-wide CRISPR-Cas9 ...
Saisai Tian +9 more
openaire +3 more sources