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Joshua D. Reiss

4 papers hereh-index 447 citations11 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.SD2
  • eess.AS2
same name
  • Joshua D. Reiss — 7 papers, h 4
  • Joshua D. Reiss — 6 papers, h 2
  • Joshua D. Reiss — 4 papers, h 1
  • Joshua D. Reiss — 3 papers, h 0
  • Joshua D. Reiss — 1 paper, h 1
  • Joshua D. Reiss — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232025
most citedcross-modal fusion techniques for utterance-level emotion recognition from text and speech

2 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

cs.SD2025

Heterogeneous bimodal attention fusion for speech emotion recognition

Jiachen Luo, Huy Phan, Lin Wang +1

Multi-modal emotion recognition in conversations is a challenging problem due to the complex and complementary interactions between different modalities. Audio and textual cues are…

cs.SD2025

Bimodal Connection Attention Fusion for Speech Emotion Recognition

Jiachen Luo, Huy Phan, Lin Wang +1

Multi-modal emotion recognition is challenging due to the difficulty of extracting features that capture subtle emotional differences. Understanding multi-modal interactions and co…

eess.AS2024

1st Place Solution to Odyssey Emotion Recognition Challenge Task1: Tackling Class Imbalance Problem

Mingjie Chen, Hezhao Zhang, Yuanchao Li +11

Speech emotion recognition is a challenging classification task with natural emotional speech, especially when the distribution of emotion types is imbalanced in the training and t…

eess.AS2023★ 2 cited

cross-modal fusion techniques for utterance-level emotion recognition from text and speech

Jiachen Luo, Huy Phan, Joshua Reiss

Multimodal emotion recognition (MER) is a fundamental complex research problem due to the uncertainty of human emotional expression and the heterogeneity gap between different moda…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.