Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition | Paper Citation Record

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This paper cites Survey on speech emotion recognition: Features, classification schemes, and databases,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Survey on speech emotion recognition: Features, classification schemes, and databases,

Reference 1

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This paper cites Automated screening for distress: A perspective for the future,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Automated screening for distress: A perspective for the future,

Reference 2

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Observation 2136bb00-d04d-4c7c-8408-55edfd3d2f94 · outbound

This paper cites A comprehensive review of speech emotion recognition systems,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition A comprehensive review of speech emotion recognition systems,

Reference 3

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Observation 6bfd99bb-f33e-4e79-b448-8ddcb0ce83e9 · outbound

This paper cites A systematic review on affective computing: Emotion models, databases, and recent advances,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition A systematic review on affective computing: Emotion models, databases, and recent advances,

Reference 4

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This paper cites Speech emotion recognition based on hmm and svm,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Speech emotion recognition based on hmm and svm,

Reference 5

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This paper cites Speech emotion recognition using fourier parameters,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Speech emotion recognition using fourier parameters,

Reference 6

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This paper cites Implementation and comparison of speech emotion recognition system using gaussian mix- ture model (gmm) and k-nearest neighbor K-NN techniques,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Implementation and comparison of speech emotion recognition system using gaussian mix- ture model (gmm) and k-nearest neighbor K-NN techniques,

Reference 7

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Observation 53bd97bb-f986-429d-bb1e-b3e633253f65 · outbound

This paper cites Speech emotion recognition using deep learning techniques: A review,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Speech emotion recognition using deep learning techniques: A review,

Reference 8

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This paper cites Deep learning approaches for speech emotion recognition: State of the art and research challenges,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Deep learning approaches for speech emotion recognition: State of the art and research challenges,

Reference 9

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Observation 10111b15-b7e0-4516-a1bb-3847a9d1bf30 · outbound

This paper cites Speech emotion recognition: A review,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Speech emotion recognition: A review,

Reference 10

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Observation 7ca597b3-62f9-495e-a587-5efba9288d31 · outbound

This paper cites Self-supervised speech representation learning: A review,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Self-supervised speech representation learning: A review,

Reference 11

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Observation 54ea93b7-b461-4e08-ac93-dcf46326a465 · outbound

This paper cites Cross-corpus speech emotion recognition using semi-supervised transfer non-negative matrix factorization with adapta- tion regularization.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Cross-corpus speech emotion recognition using semi-supervised transfer non-negative matrix factorization with adapta- tion regularization

Reference 12

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This paper cites Multisource i-vectors domain adaptation using maximum mean discrepancy based autoencoders,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Multisource i-vectors domain adaptation using maximum mean discrepancy based autoencoders,

Reference 13

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This paper cites Self-supervised learning for multimedia recommendation,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Self-supervised learning for multimedia recommendation,

Reference 14

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This paper cites V oicepm: A robust privacy measurement on voice anonymity,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition V oicepm: A robust privacy measurement on voice anonymity,

Reference 15

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Observation 9b40a672-56f6-44db-bbc9-79e3aa93cda2 · outbound

This paper cites EmoBox: Multilingual Multi-corpus Speech Emotion Recognition Toolkit and Benchmark.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition EmoBox: Multilingual Multi-corpus Speech Emotion Recognition Toolkit and Benchmark

Reference 16

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This paper cites Distilhubert: Speech rep- resentation learning by layer-wise distillation of hidden-unit bert,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Distilhubert: Speech rep- resentation learning by layer-wise distillation of hidden-unit bert,

Reference 17

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This paper cites Cross- corpus speech emotion recognition with hubert self-supervised represen- tation,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Cross- corpus speech emotion recognition with hubert self-supervised represen- tation,

Reference 19

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This paper cites Representation learning through cross-modal conditional teacher-student training for speech emotion recognition,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Representation learning through cross-modal conditional teacher-student training for speech emotion recognition,

Reference 21

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This paper cites Multi-lingual multi-task speech emotion recognition using wav2vec 2.0,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Multi-lingual multi-task speech emotion recognition using wav2vec 2.0,

Reference 22

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This paper cites A systematic literature review of speech emotion recognition approaches,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition A systematic literature review of speech emotion recognition approaches,

Reference 23

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This paper cites Speech emotion recognition using sequential capsule net- works,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Speech emotion recognition using sequential capsule net- works,

Reference 24

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Observation f0550e3e-0284-4f9e-958b-b921ddc39129 · outbound

This paper cites Transformer based unsupervised pre-training for acoustic representation learning,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Transformer based unsupervised pre-training for acoustic representation learning,

Reference 25

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This paper cites Contrastive unsupervised learning for speech emotion recognition,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Contrastive unsupervised learning for speech emotion recognition,

Reference 26

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This paper cites Cross-corpus classification of realistic emotions–some pilot experiments,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Cross-corpus classification of realistic emotions–some pilot experiments,

Reference 27

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This paper cites Using multiple databases for training in emotion recognition: To unite or to vote?.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Using multiple databases for training in emotion recognition: To unite or to vote?

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This paper cites Cross lingual speech emotion recognition: Urdu vs. western languages,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Cross lingual speech emotion recognition: Urdu vs. western languages,

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This paper cites A study on cross-corpus speech emotion recognition and data augmenta- tion,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition A study on cross-corpus speech emotion recognition and data augmenta- tion,

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This paper cites Wavlm: Large-scale self-supervised pre- training for full stack speech processing,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Wavlm: Large-scale self-supervised pre- training for full stack speech processing,

Reference 32

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This paper cites Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings

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This paper cites Hubert: Self-supervised speech representation learning by masked prediction of hidden units,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Hubert: Self-supervised speech representation learning by masked prediction of hidden units,

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This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

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This paper cites Unveiling em- bedded features in wav2vec2 and hubert msodels for speech emotion recognition,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Unveiling em- bedded features in wav2vec2 and hubert msodels for speech emotion recognition,

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This paper cites Layer-wise analysis of a self- supervised speech representation model,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Layer-wise analysis of a self- supervised speech representation model,

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This paper cites Multiple acoustic features speech emotion recognition using cross-attention transformer,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Multiple acoustic features speech emotion recognition using cross-attention transformer,

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This paper cites Speech emotion recognition using local and global features,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Speech emotion recognition using local and global features,

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This paper cites Modeling prosodic features with joint factor analysis for speaker verification,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Modeling prosodic features with joint factor analysis for speaker verification,

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This paper cites A novel feature selection method for speech emotion recognition,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition A novel feature selection method for speech emotion recognition,

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This paper cites Analysis of linguistic and prosodic features of bilingual arabic–english speakers for speech emotion recognition,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Analysis of linguistic and prosodic features of bilingual arabic–english speakers for speech emotion recognition,

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This paper cites Towards an automatic evaluation of the dysarthria level of patients with parkinson’s disease,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Towards an automatic evaluation of the dysarthria level of patients with parkinson’s disease,

Reference 43

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This paper cites Speech emotion recognition based on multiple acoustic features and deep convolutional neural network,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Speech emotion recognition based on multiple acoustic features and deep convolutional neural network,

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This paper cites Speech emotion recognition using mel frequency log spectrogram and deep convolutional neural network,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Speech emotion recognition using mel frequency log spectrogram and deep convolutional neural network,

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This paper cites Learning deep features to recognise speech emotion using merged deep CNN,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Learning deep features to recognise speech emotion using merged deep CNN,

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This paper cites The SpeakIn Speaker Verification System for Far-Field Speaker Verification Challenge 2022.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition The SpeakIn Speaker Verification System for Far-Field Speaker Verification Challenge 2022

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This paper cites IEMOCAP: Interactive emotional dyadic motion capture database,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition IEMOCAP: Interactive emotional dyadic motion capture database,

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This paper cites The ryerson audio-visual database of emotional speech and song RA VDESS: A dynamic, multimodal set of facial and vocal expressions in north american english,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition The ryerson audio-visual database of emotional speech and song RA VDESS: A dynamic, multimodal set of facial and vocal expressions in north american english,

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This paper cites Real- time end-to-end speech emotion recognition with cross-domain adapta- tion,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Real- time end-to-end speech emotion recognition with cross-domain adapta- tion,

Reference 50

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This paper cites A database of german emotional speech.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition A database of german emotional speech

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This paper cites Emovo corpus: an italian emotional speech database,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Emovo corpus: an italian emotional speech database,

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This paper cites The mexican emotional speech database (mesd): elaboration and assessment based on machine learning,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition The mexican emotional speech database (mesd): elaboration and assessment based on machine learning,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:03:46.703398Z

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This paper cites Emotional voice conversion: Theory, databases and esd,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Emotional voice conversion: Theory, databases and esd,

Reference 54

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This paper cites Towards discriminative representations and unbiased predictions: Class-specific angular softmax for speech emotion recognition.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Towards discriminative representations and unbiased predictions: Class-specific angular softmax for speech emotion recognition

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:03:46.681547Z

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This paper cites Improving speech emotion recognition using graph attentive bi-directional gated recurrent unit network,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Improving speech emotion recognition using graph attentive bi-directional gated recurrent unit network,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:03:46.669951Z

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This paper cites Hgfm: A hierarchical grained and feature model for acoustic emotion recognition,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Hgfm: A hierarchical grained and feature model for acoustic emotion recognition,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:03:46.657924Z

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Observation a9dcfab3-f59b-4bc0-a18a-3285263b20b0 · outbound

This paper cites Cross- corpus speech emotion recognition with hubert self-supervised represen- tation,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Cross- corpus speech emotion recognition with hubert self-supervised represen- tation,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:03:46.646773Z

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Observation b319171d-682a-4f14-bbf7-d215ffdd5c9b · outbound

This paper cites Temporal modeling matters: A novel temporal emotional modeling approach for speech emotion recognition,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Temporal modeling matters: A novel temporal emotional modeling approach for speech emotion recognition,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:03:46.635793Z

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Observation 12670868-5e41-4cfc-ba70-eaa9de08a6bb · outbound

This paper cites Learning multi-scale features for speech emotion recognition with connection attention mechanism,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Learning multi-scale features for speech emotion recognition with connection attention mechanism,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:03:46.622964Z

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Observation 9b089bd3-6681-4a5b-bdf6-203a974d190d · outbound

This paper cites Exploring wav2vec 2.0 fine tuning for improved speech emotion recognition,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Exploring wav2vec 2.0 fine tuning for improved speech emotion recognition,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:03:47.065910Z

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This paper cites Unsupervised adversarial domain adaptation for cross-lingual speech emotion recognition,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Unsupervised adversarial domain adaptation for cross-lingual speech emotion recognition,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:03:46.610408Z

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This paper cites Speech emotion recognition from 3D log-mel spectrograms with deep learning network,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Speech emotion recognition from 3D log-mel spectrograms with deep learning network,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:03:46.597142Z

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Observation 1a243e78-a50c-4836-b71b-d274313efb63 · outbound

This paper cites Fusing visual attention CNN and bag of visual words for cross-corpus speech emotion recognition,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Fusing visual attention CNN and bag of visual words for cross-corpus speech emotion recognition,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:03:46.583333Z

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Observation 0dd1f7e1-74d4-475d-8937-b7ce804bb2bf · outbound

This paper cites Cross corpus multi-lingual speech emotion recognition using ensemble learning,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Cross corpus multi-lingual speech emotion recognition using ensemble learning,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:03:46.949879Z

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Observation 7fe177a5-5e7c-4965-8f01-0b397131db6e · outbound

This paper cites Cross-corpus speech emotion recognition based on few-shot learning and domain adaptation,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Cross-corpus speech emotion recognition based on few-shot learning and domain adaptation,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:03:46.572085Z

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Observation 01a88162-f488-419d-9c08-11aa484af918 · outbound

This paper cites Crema-d: Crowd-sourced emotional multimodal actors dataset,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Crema-d: Crowd-sourced emotional multimodal actors dataset,

Reference 67

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Observation e771e516-c8f7-4423-9b4d-68f39fb96eb9 · outbound

This paper cites Enhancing cross-language multimodal emotion recognition with dual attention transformers,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Enhancing cross-language multimodal emotion recognition with dual attention transformers,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:03:46.550903Z

Source-reported events for the cited work

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Observation 76638cb0-65de-4f8a-8bdc-db5c787a6d3e · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 69

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This paper cites XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale

Reference 70

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Observation f224eeb2-635a-4306-8855-a694e17bbd5d · outbound

This paper cites Robust speech recognition via large-scale weak supervi- sion,.

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition Robust speech recognition via large-scale weak supervi- sion,

Reference 71

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