School of Electronic Engineering and Computer Science

Mr Arjun Pankajakshan

Arjun

Email: a.pankajakshan@qmul.ac.uk
Room Number: Engineering, Eng 400
Website: https://sites.google.com/view/arjunpc4dm/home

Research

Research Interests:


  • Computational analysis of sound scenes and events
  • Machine Listening
  • Interpretable Machine Learning
  • Audio Signal Processing

Publications

  • Singh S, Pankajakshan A, Benetos E (2019). Audio tagging using a linear noise modelling layer. 4th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE 2019)

    DOI: doi


    Citations: 0
  • Pankajakshan A, Bear H, Benetos E (2019). Onsets, activity, and events: a multi-task approach for polyphonic sound event modelling. 4th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE 2019)

    DOI: doi


    Citations: 0
  • Pankajakshan A, Thakttr A, Thapar D et al. (2018). All-Cony Net for Bird Activity Detection: Significance of Learned Pooling. 19TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION



    Citations: 0
  • Arjun P, Jayan AR (2017). Effect of CVR modification on automatic recognition of stop consonants in isolated VCV utterances by an HMM based ASR system. 2017 International Conference on Inventive Systems and Control (ICISC)


    QMRO: qmroHref

    Citations: 0