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EMO-SUPERB: An in-depth look at speech emotion recognition
Speech emotion recognition (SER) is a pivotal technology for human-computer interaction
systems. However, 80.77% of SER papers yield results that cannot be reproduced. We …
systems. However, 80.77% of SER papers yield results that cannot be reproduced. We …
Open-Emotion: A Reproducible EMO-Superb For Speech Emotion Recognition Systems
Speech emotion recognition (SER) is an essential technology for human-computer
interaction systems. However, the previous study reveals that 80.77% of SER papers yield …
interaction systems. However, the previous study reveals that 80.77% of SER papers yield …
Emo-bias: A large scale evaluation of social bias on speech emotion recognition
The rapid growth of Speech Emotion Recognition (SER) has diverse global applications,
from improving human-computer interactions to aiding mental health diagnostics. However …
from improving human-computer interactions to aiding mental health diagnostics. However …
Versatile audio-visual learning for emotion recognition
Most current audio-visual emotion recognition models lack the flexibility needed for
deployment in practical applications. We envision a multimodal system that works even …
deployment in practical applications. We envision a multimodal system that works even …
A layer-anchoring strategy for enhancing cross-lingual speech emotion recognition
Cross-lingual speech emotion recognition (SER) is important for a wide range of everyday
applications. While recent SER research relies heavily on large pretrained models for …
applications. While recent SER research relies heavily on large pretrained models for …
Learning with rater-expanded label space to improve speech emotion recognition
Automatic sensing of emotional information in speech is important for numerous everyday
applications. Conventional Speech Emotion Recognition (SER) models rely on averaging or …
applications. Conventional Speech Emotion Recognition (SER) models rely on averaging or …
Balancing speaker-rater fairness for gender-neutral speech emotion recognition
WS Chien, SG Upadhyay… - ICASSP 2024-2024 IEEE …, 2024 - ieeexplore.ieee.org
Speech emotion recognition (SER) adds to the humane aspects of voice technologies to
enhance user experiences. The ground truth emotion annotations provided by human raters …
enhance user experiences. The ground truth emotion annotations provided by human raters …
Describe Where You Are: Improving Noise-Robustness for Speech Emotion Recognition with Text Description of the Environment
Speech emotion recognition (SER) systems often struggle in real-world environments,
where ambient noise severely degrades their performance. This paper explores a novel …
where ambient noise severely degrades their performance. This paper explores a novel …
[PDF][PDF] Bridging emotions across languages: Low rank adaptation for multilingual speech emotion recognition
L Goncalves, D Robinson, E Richerson… - Proc. Interspeech …, 2024 - ecs.utdallas.edu
The field of speech emotion recognition (SER) is constantly evolving with the surge in voice
data and linguistic diversity. This growth highlights the need for SER systems capable of …
data and linguistic diversity. This growth highlights the need for SER systems capable of …
Embracing Ambiguity And Subjectivity Using The All-Inclusive Aggregation Rule For Evaluating Multi-Label Speech Emotion Recognition Systems
Speech Emotion Recognition (SER) faces a distinct challenge compared to other speech-
related tasks because the annotations will show the subjective emotional perceptions of …
related tasks because the annotations will show the subjective emotional perceptions of …