mlsanityData to 7 Oct 2026

Burst2Vec: An Adversarial Multi-Task Approach for Predicting Emotion, Age, and Origin from Vocal Bursts

arXiv 2206.12469 ↗First posted 24 Jun 2022cs.SD cs.CL eess.AScited by 3

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Abstract (arXiv)

We present Burst2Vec, our multi-task learning approach to predict emotion, age, and origin (i.e., native country/language) from vocal bursts. Burst2Vec utilises pre-trained speech representations to capture acoustic information from raw waveforms and incorporates the concept of model debiasing via adversarial training. Our models achieve a relative 30 % performance gain over baselines using pre-extracted features and score the highest amongst all participants in the ICML ExVo 2022 Multi-Task Challenge.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 10 of its 21 references that are in the map. First posted on arXiv 24 Jun 2022.

Builds on

10 of 21 references.

References · 10

  1. 2017Attention Is All You Needcited by 59,932
  2. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  3. 2020wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representationscited by 3,853
  4. 2016Categorical Reparameterization with Gumbel-Softmaxcited by 2,708
  5. 2021HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Unitscited by 2,301
  6. 2017An Overview of Multi-Task Learning in Deep Neural Networkscited by 791
  7. 2021Emotion Recognition from Speech Using Wav2vec 2.0 Embeddingscited by 158
  8. 2021The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primatescited by 32
  9. 2020On the use of Self-supervised Pre-trained Acoustic and Linguistic Features for Continuous Speech Emotion Recognitioncited by 19
  10. 2022The ICML 2022 Expressive Vocalizations Workshop and Competition: Recognizing, Generating, and Personalizing Vocal Burstscited by 16

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Citing papers per year: 2022: 1; 2023: 2.

3 papers.

  1. 2022An Efficient Multitask Learning Architecture for Affective Vocal Burst Analysiscited by 1
  2. 2023EmoGator: A New Open Source Vocal Burst Dataset with Baseline Machine Learning Classification Methodologiescited by 1
  3. 2023A Hierarchical Regression Chain Framework for Affective Vocal Burst Recognitioncited by 1