Article

Semantic content outperforms speech prosody in predicting affective experience in naturalistic settings

2024-10-01

Abstract excerpt

<p>Humans possess the remarkable ability to recognize affective states (e.g., emotions) from speech prosody (i.e., voice acoustics). Algorithms are now trained to do the same task at scale and increasingly deployed commercially. These algorithms have typically been trained on speech data based on enacted (e.g., by professional actors) or observed (e.g., externally rated) affect expressions collected in controlled...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 7a1b1994-1e85-55f5-86ca-ce62e17f102b
DOI: 10.31234/osf.io/n48uz

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Semantic content outperforms speech prosody in predicting affective experience in naturalistic settingsDOI 10.31234/osf.io/n48uzRead

Automated speech analysis for risk detection of depression, anxiety, insomnia, and fatigue: Algorithm Development and Validation StudySemantic proximity Read

A Comprehensive Review in Unimodal and Multimodal Emotion RecognitionSemantic proximity Read

Modelling Human-Like Emotion Perception Using Multimodal Deep LearningSemantic proximity Read

HSERNet: Hybrid Speech Emotion Recognition using Conformer-Convolutional Neural NetworksSemantic proximity Read

Recognizing More Emotions with Less Data Using Self-supervised Transfer LearningSemantic proximity Read

Processing of acoustically degraded emotional prosody in Alzheimer’s disease and primary progressive aphasia: a cohort studySemantic proximity Read

Bangla Speech Emotion Recognition Using Deep Learning-Based Ensemble Learning and Feature FusionSemantic proximity Read

ArmanEmo: A Persian Dataset for Text-based Emotion DetectionSemantic proximity Read

Emotion Recognition from Bangla Dialect Speech using Privacy-Aware Deep Learning Models: A Comparative AnalysisSemantic proximity Read

Speech-based Sentiment Recognition System using PDCNN and LSTM AlgorithmsSemantic proximity Read

The Conceptualization and Measurement of Emotion in Machine Learning: A Critical Appraisal and Recommendations from PsychologySemantic proximity Read

Improving Care for Amyotrophic Lateral Sclerosis with Artificial Intelligence and Affective ComputingSemantic proximity Read