publications

2026

  1. IEEE TASLP
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    SFM-Adapter: Style-aware Feature Manipulation Adapter for Speech Style Editing
    Yun Chen, Haohe Liu, Qi Chen, and 5 more authors
    IEEE Transactions on Audio, Speech and Language Processing, 2026
  2. IEEE TASLP
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    Compressing Quaternion Convolutional Neural Networks for Audio Classification
    Arshdeep Singh, Vinayak Abrol, and Mark D Plumbley
    IEEE Transactions on Audio, Speech and Language Processing, 2026
  3. ICASSP 2026
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    ISSE: An Instruction-Guided Speech Style Editing Dataset And Benchmark
    Yun Chen, Qi Chen, Zheqi Dai, and 3 more authors
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2026

2025

  1. IEEE TASLP
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    Efficient CNNs via Passive Filter Pruning
    Arshdeep Singh and Mark D Plumbley
    IEEE Transactions on Audio, Speech and Language Processing, 2025
  2. Forum Acousticum
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    Soundscape experience mapping: A deep listening approach for eliciting older adults’ perceptions of indoor soundscapes
    Thomas Edward Deacon, Gabriel Bibbo, Arshdeep Singh, and 1 more author
    In Forum Acusticum Euronoise, 2025
  3. AES AIMLA
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    Integrating IP Broadcasting with Audio Tags: Workflow and Challenges
    Rhys Burchett-Vass, Arshdeep Singh, Gabriel Bibbó, and 1 more author
    Audio Engineering Society Conference on AI and Machine Learning for Audio (AES AIMLA), QMU, London, 2025
  4. AES AIMLA
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    Privacy for Audio AI: Risks, Challenges, and Emerging Solutions in the Era of Audio AI
    Thomas Deacon, Jennifer Williams, Jason RC Nurse, and 4 more authors
    AES International Conference on Artificial Intelligence and Machine Learning for Audio (AES AIMLA), 2025

2024

  1. ChiME
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    The Sounds of Home: A Speech-Removed Residential Audio Dataset for Sound Event Detection
    Gabriel Bibbó, Thomas Deacon, Arshdeep Singh, and 1 more author
    In 8th International Workshop on Speech Processing in Everyday Environments (CHiME 2024), 2024
  2. IEEE MLSP
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    Investigating Passive Filter Pruning for Efficient CNN-Transformer Audio Captioning
    Xuenan Xu, Arshdeep Singh, Mengyue Wu, and 2 more authors
    In 2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP), 2024
  3. Interspeech
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    Efficient CNNs with Quaternion Transformations and Pruning for Audio Tagging
    Aryan Chaudhary, Arshdeep Singh, Vinayak Abrol, and 1 more author
    In Interspeech 2024, 2024
  4. Internoise
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    Environmental sound classification using raw-audio based ensemble framework
    Arshdeep Singh, Thomas Deacon, and Mark D Plumbley
    In INTER-NOISE and NOISE-CON Congress and Conference Proceedings, 2024
  5. SMC
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    Soundscape Personalisation at Work: Designing AI-Enabled Sound Technologies for the Workplace
    Thomas Deacon, Arshdeep Singh, Gabriel Bibbo, and 1 more author
    In Sound and Music Computing (SMC 2024), 2024
  6. Design4Health
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    Designing AI for Home Wellbeing and Implications for Future Healthcare Technologies
    Emily Mary Corrigan-Kavanagh, Mark David Plumbley, David Mark Frohlich, and 1 more author
    Design4Health 2024: Equilibrium in a time of permacrisis, 2024
  7. Internoise
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    Environmental sound classification on an embedded hardware platform
    Gabriel Bibbó, Arshdeep Singh, and Mark D Plumbley
    In INTER-NOISE and NOISE-CON Congress and Conference Proceedings, 2024

2023

  1. IEEE WASPAA
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    Compressing Audio CNNS with Graph Centrality Based Filter Pruning
    James A King, Arshdeep Singh, and Mark D. Plumbley
    In IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2023
  2. Internoise
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    E-PANNs: sound recognition using efficient pre-trained audio neural networks
    Arshdeep Singh, Haohe Liu, and Mark D Plumbley
    In Inter-Noise and Noise-Con Congress and Conference Proceedings, 2023
  3. ICASSP
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    Efficient Similarity-Based Passive Filter Pruning for Compressing CNNS
    Arshdeep Singh and Mark D. Plumbley
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023

2022

  1. DCASE
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    Low-Complexity CNNs for Acoustic Scene Classification
    Arshdeep Singh and Mark D. Plumbley
    In Proceedings of the 7th Detection and Classification of Acoustic Scenes and Events 2022 Workshop (DCASE2022), Nov 2022
  2. DCASE
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    Continual Learning for On-Device Environmental Sound Classification
    Yang Xiao, Xubo Liu, James King, and 4 more authors
    In Proceedings of the 7th Detection and Classification of Acoustic Scenes and Events 2022 Workshop (DCASE2022), Nov 2022
  3. Interspeech
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    A Passive Similarity based CNN Filter Pruning for Efficient Acoustic Scene Classification
    Arshdeep Singh and Mark D. Plumbley
    In Interspeech 2022, Nov 2022