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The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitoes

Published: 10 October 2022 Publication History

Abstract

The ACM Multimedia 2022 Computational Paralinguistics Challenge addresses four different problems for the first time in a research competition under well-defined conditions: In the Vocalisations and Stuttering Sub-Challenges, a classification on human non-verbal vocalisations and speech has to be made; the Activity Sub-Challenge aims at beyond-audio human activity recognition from smartwatch sensor data; and in the Mosquitoes Sub-Challenge, mosquitoes need to be detected. We describe the Sub-Challenges, baseline feature extraction, and classifiers based on the 'usual' ComParE and BoAW features, the auDeep toolkit, and deep feature extraction from pre-trained CNNs using the DeepSpectrum toolkit; in addition, we add end-to-end sequential modelling, and a log-mel-128-BNN.

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  • (2025)Individual-independent and cross-language detection of speech disfluencies in stuttering based on multi-adversarial tasks and self-trainingBiomedical Signal Processing and Control10.1016/j.bspc.2024.107051100(107051)Online publication date: Feb-2025
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      cover image ACM Conferences
      MM '22: Proceedings of the 30th ACM International Conference on Multimedia
      October 2022
      7537 pages
      ISBN:9781450392037
      DOI:10.1145/3503161
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      Published: 10 October 2022

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      Author Tags

      1. benchmark
      2. challenge
      3. computational paralinguistics
      4. human activity recognition
      5. mosquito detection
      6. stuttering
      7. vocalisations

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      • (2025)Individual-independent and cross-language detection of speech disfluencies in stuttering based on multi-adversarial tasks and self-trainingBiomedical Signal Processing and Control10.1016/j.bspc.2024.107051100(107051)Online publication date: Feb-2025
      • (2024)Respiratory Diseases Diagnosis Using Audio Analysis and Artificial Intelligence: A Systematic ReviewSensors10.3390/s2404117324:4(1173)Online publication date: 10-Feb-2024
      • (2024)Automated Data Augmentation for Audio ClassificationIEEE/ACM Transactions on Audio, Speech and Language Processing10.1109/TASLP.2024.340204932(2716-2728)Online publication date: 16-May-2024
      • (2024)MARS: A Multiview Contrastive Approach to Human Activity Recognition From Accelerometer SensorIEEE Sensors Letters10.1109/LSENS.2024.33579418:3(1-4)Online publication date: Mar-2024
      • (2023)Extracting Phonetic Posterior-Based Features for Detecting Multiple Sclerosis From SpeechIEEE Transactions on Neural Systems and Rehabilitation Engineering10.1109/TNSRE.2023.330053231(3234-3244)Online publication date: 2023
      • (2023)Advancing Stuttering Detection via Data Augmentation, Class-Balanced Loss and Multi-Contextual Deep LearningIEEE Journal of Biomedical and Health Informatics10.1109/JBHI.2023.324828127:5(2553-2564)Online publication date: May-2023
      • (2023)Federated Intelligent Terminals Facilitate Stuttering MonitoringICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)10.1109/ICASSP49357.2023.10097263(1-5)Online publication date: 4-Jun-2023
      • (2023)Evaluating Variants of wav2vec 2.0 on Affective Vocal Burst TasksICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)10.1109/ICASSP49357.2023.10096552(1-5)Online publication date: 4-Jun-2023
      • (2023)Detecting Vocal Fatigue with Neural EmbeddingsJournal of Voice10.1016/j.jvoice.2023.01.012Online publication date: Feb-2023
      • (2023)Classification of stuttering – The ComParE challenge and beyondComputer Speech and Language10.1016/j.csl.2023.10151981:COnline publication date: 1-Jun-2023
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