Improving Speaker-independent Speech Emotion Recognition Using Dynamic Joint Distribution Adaptation Article Swipe

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Cheng Lu , Yuan Zong , Hailun Lian , Yan Zhao , Björn W. Schuller , Wenming Zheng ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2401.09752

In speaker-independent speech emotion recognition, the training and testing samples are collected from diverse speakers, leading to a multi-domain shift challenge across the feature distributions of data from different speakers. Consequently, when the trained model is confronted with data from new speakers, its performance tends to degrade. To address the issue, we propose a Dynamic Joint Distribution Adaptation (DJDA) method under the framework of multi-source domain adaptation. DJDA firstly utilizes joint distribution adaptation (JDA), involving marginal distribution adaptation (MDA) and conditional distribution adaptation (CDA), to more precisely measure the multi-domain distribution shifts caused by different speakers. This helps eliminate speaker bias in emotion features, allowing for learning discriminative and speaker-invariant speech emotion features from coarse-level to fine-level. Furthermore, we quantify the adaptation contributions of MDA and CDA within JDA by using a dynamic balance factor based on $\mathcal{A}$-Distance, promoting to effectively handle the unknown distributions encountered in data from new speakers. Experimental results demonstrate the superior performance of our DJDA as compared to other state-of-the-art (SOTA) methods.

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Discriminative model Joint probability distribution Speech recognition Computer science Adaptation (eye) Joint (building) Feature (linguistics) Conditional probability distribution Marginal distribution Speaker recognition Pattern recognition (psychology) Artificial intelligence Psychology Mathematics Linguistics Engineering Statistics Architectural engineering Neuroscience Philosophy Random variable

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Type: preprint
Language: en
Landing Page: http://arxiv.org/abs/2401.09752
PDF: https://arxiv.org/pdf/2401.09752
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Cited By: 1
Related Works: 10
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DOI: https://doi.org/10.48550/arxiv.2401.09752

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Title: Improving Speaker-independent Speech Emotion Recognition Using Dynamic Joint Distribution Adaptation

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Language: en

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Publication year: 2024

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Publication date: 2024-01-18

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Authors: Cheng Lu, Yuan Zong, Hailun Lian, Yan Zhao, Björn W. Schuller, Wenming Zheng

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Landing page: https://arxiv.org/abs/2401.09752

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Concepts: Discriminative model, Joint probability distribution, Speech recognition, Computer science, Adaptation (eye), Joint (building), Feature (linguistics), Conditional probability distribution, Marginal distribution, Speaker recognition, Pattern recognition (psychology), Artificial intelligence, Psychology, Mathematics, Linguistics, Engineering, Statistics, Architectural engineering, Neuroscience, Philosophy, Random variable

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Cited by: 1

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abstract_inverted_index.precisely	86
abstract_inverted_index.promoting	138
abstract_inverted_index.speakers,	14, 41
abstract_inverted_index.speakers.	29, 95, 150
abstract_inverted_index.Adaptation	57
abstract_inverted_index.adaptation	72, 77, 82, 121
abstract_inverted_index.confronted	36
abstract_inverted_index.adaptation.	66
abstract_inverted_index.conditional	80
abstract_inverted_index.demonstrate	153
abstract_inverted_index.effectively	140
abstract_inverted_index.encountered	145
abstract_inverted_index.fine-level.	116
abstract_inverted_index.performance	43, 156
abstract_inverted_index.Distribution	56
abstract_inverted_index.Experimental	151
abstract_inverted_index.Furthermore,	117
abstract_inverted_index.coarse-level	114
abstract_inverted_index.distribution	71, 76, 81, 90
abstract_inverted_index.multi-domain	18, 89
abstract_inverted_index.multi-source	64
abstract_inverted_index.recognition,	4
abstract_inverted_index.Consequently,	30
abstract_inverted_index.contributions	122
abstract_inverted_index.distributions	24, 144
abstract_inverted_index.discriminative	107
abstract_inverted_index.state-of-the-art	164
abstract_inverted_index.speaker-invariant	109
abstract_inverted_index.speaker-independent	1
abstract_inverted_index.$\mathcal{A}$-Distance,	137
cited_by_percentile_year
countries_distinct_count	0
institutions_distinct_count	6
sustainable_development_goals[0].id	https://metadata.un.org/sdg/10
sustainable_development_goals[0].score	0.7300000190734863
sustainable_development_goals[0].display_name	Reduced inequalities
citation_normalized_percentile