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Exploiting Annotators’ Typed Description of Emotion Perception to Maximize Utilization of Ratings for Speech Emotion Recognition
Research article (ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022) · cited 25× · AI/ML
Exploiting Annotators’ Typed Description of Emotion Perception to Maximize Utilization of Ratings for Speech Emotion Recognition
Summary
Exploiting Annotators’ Typed Description of Emotion Perception to Maximize Utilization of Ratings for Speech Emotion Recognition is a scholarly article[1].
Key Facts
Exploiting Annotators’ Typed Description of Emotion Perception to Maximize Utilization of Ratings for Speech Emotion Recognition's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Exploiting Annotators’ Typed Description of Emotion Perception to Maximize Utilization of Ratings for Speech Emotion Recognition. Retrieved May 24, 2026, from https://4ort.xyz/entity/exploiting-annotators-typed-description-of-emotion-perception-to-maximize-utilization-of-ratings-for-speech-emotion-reco
MLA“Exploiting Annotators’ Typed Description of Emotion Perception to Maximize Utilization of Ratings for Speech Emotion Recognition.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/exploiting-annotators-typed-description-of-emotion-perception-to-maximize-utilization-of-ratings-for-speech-emotion-reco.
BibTeX@misc{4ortxyz_exploiting-annotators-typed-description-of-emotion-perception-to-maximize-utilization-of-ratings-for-speech-emotion-reco_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Exploiting Annotators’ Typed Description of Emotion Perception to Maximize Utilization of Ratings for Speech Emotion Recognition}}, year = {2026}, url = {https://4ort.xyz/entity/exploiting-annotators-typed-description-of-emotion-perception-to-maximize-utilization-of-ratings-for-speech-emotion-reco}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Exploiting Annotators’ Typed Description of Emotion Perception to Maximize Utilization of Ratings for Speech Emotion Recognition — https://4ort.xyz/entity/exploiting-annotators-typed-description-of-emotion-perception-to-maximize-utilization-of-ratings-for-speech-emotion-reco (retrieved 2026-05-24)