Computer Science > Sound
arXiv:2203.17242 (cs)
[Submitted on 30 Mar 2022]
Title:Automatic Detection of Expressed Emotion from Five-Minute Speech Samples: Challenges and Opportunities
Authors:Bahman Mirheidari,André Bittar,Nicholas Cummins,Johnny Downs,Helen L. Fisher,Heidi Christensen
View a PDF of the paper titled Automatic Detection of Expressed Emotion from Five-Minute Speech Samples: Challenges and Opportunities, by Bahman Mirheidari and 5 other authors
View PDFAbstract:We present a novel feasibility study on the automatic recognition of Expressed Emotion (EE), a family environment concept based on caregivers speaking freely about their relative/family member. We describe an automated approach for determining the \textit{degree of warmth}, a key component of EE, from acoustic and text features acquired from a sample of 37 recorded interviews. These recordings, collected over 20 years ago, are derived from a nationally representative birth cohort of 2,232 British twin children and were manually coded for EE. We outline the core steps of extracting usable information from recordings with highly variable audio quality and assess the efficacy of four machine learning approaches trained with different combinations of acoustic and text features. Despite the challenges of working with this legacy data, we demonstrated that the degree of warmth can be predicted with an $F_{1}$-score of \textbf{61.5\%}. In this paper, we summarise our learning and provide recommendations for future work using real-world speech samples.
| Comments: | Submitted to Interspeech 2022 |
| Subjects: | Sound (cs.SD); Machine Learning (cs.LG); Audio and Speech Processing (eess.AS) |
| Cite as: | arXiv:2203.17242 [cs.SD] |
| (orarXiv:2203.17242v1 [cs.SD] for this version) | |
| https://doi.org/10.48550/arXiv.2203.17242 arXiv-issued DOI via DataCite |
Submission history
From: Nicholas Cummins Dr [view email][v1] Wed, 30 Mar 2022 16:26:31 UTC (169 KB)
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View a PDF of the paper titled Automatic Detection of Expressed Emotion from Five-Minute Speech Samples: Challenges and Opportunities, by Bahman Mirheidari and 5 other authors
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