Computer Science > Computation and Language
arXiv:2306.07848 (cs)
[Submitted on 13 Jun 2023 (v1), last revised 4 Dec 2023 (this version, v10)]
Title:GEmo-CLAP: Gender-Attribute-Enhanced Contrastive Language-Audio Pretraining for Accurate Speech Emotion Recognition
View a PDF of the paper titled GEmo-CLAP: Gender-Attribute-Enhanced Contrastive Language-Audio Pretraining for Accurate Speech Emotion Recognition, by Yu Pan and 7 other authors
View PDFHTML (experimental)Abstract:Contrastive cross-modality pretraining has recently exhibited impressive success in diverse fields, whereas there is limited research on their merits in speech emotion recognition (SER). In this paper, we propose GEmo-CLAP, a kind of gender-attribute-enhanced contrastive language-audio pretraining (CLAP) method for SER. Specifically, we first construct an effective emotion CLAP (Emo-CLAP) for SER, using pre-trained text and audio encoders. Second, given the significance of gender information in SER, two novel multi-task learning based GEmo-CLAP (ML-GEmo-CLAP) and soft label based GEmo-CLAP (SL-GEmo-CLAP) models are further proposed to incorporate gender information of speech signals, forming more reasonable objectives. Experiments on IEMOCAP indicate that our proposed two GEmo-CLAPs consistently outperform Emo-CLAP with different pre-trained models. Remarkably, the proposed WavLM-based SL-GEmo-CLAP obtains the best WAR of 83.16\%, which performs better than state-of-the-art SER methods.
| Comments: | 5 pages |
| Subjects: | Computation and Language (cs.CL); Multimedia (cs.MM); Sound (cs.SD); Audio and Speech Processing (eess.AS) |
| Cite as: | arXiv:2306.07848 [cs.CL] |
| (orarXiv:2306.07848v10 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2306.07848 arXiv-issued DOI via DataCite |
Submission history
From: Yu Pan [view email][v1] Tue, 13 Jun 2023 15:28:10 UTC (330 KB)
[v2] Fri, 16 Jun 2023 04:02:24 UTC (330 KB)
[v3] Sun, 9 Jul 2023 04:21:54 UTC (330 KB)
[v4] Thu, 13 Jul 2023 09:28:17 UTC (330 KB)
[v5] Wed, 19 Jul 2023 04:56:33 UTC (330 KB)
[v6] Tue, 8 Aug 2023 03:41:47 UTC (229 KB)
[v7] Wed, 9 Aug 2023 08:30:53 UTC (229 KB)
[v8] Wed, 13 Sep 2023 04:48:23 UTC (378 KB)
[v9] Fri, 24 Nov 2023 15:04:50 UTC (379 KB)
[v10] Mon, 4 Dec 2023 06:27:50 UTC (379 KB)
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View a PDF of the paper titled GEmo-CLAP: Gender-Attribute-Enhanced Contrastive Language-Audio Pretraining for Accurate Speech Emotion Recognition, by Yu Pan and 7 other authors
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