Music genre calssification
DEC. 2020 – SEP. 2021
Plant Disease Classification
OCT. 2020 – MARCH 2021
Music Video Affective Computing (Unsupervised)
SEP. 2020 – JAN. 2021
Music Video Affective Computing (Supervised)
SEP. 2020 – JAN. 2021
- Article title:Deep-Learning-Based Multimodal Emotion Classification for Music Videos.[SCIE Journal]
- Music video emotion classification dataset (Inproved and Extended version)
- Ablation study on unimodla and multimodal using music, video and facial expression.
- Network complexity reduction using novel channel and filter separable convolution.
- Train time information sharing and boosting modules.
- End-to-end training, better result on visual and statistical analysis.
- Puplished on Sensorsin July, 2021
Facemask States Detection
NOV. 2020 – JAN. 2021
- Article title:Deep Learning Based Face Mask Status Detection for COVID-19.[Conference]
- Semi-automatic visual object labeling tool
- Facemask detection dataset with three cass categories of with mask, without mask and wrong weared mask.
- Mask detetion using Faster-RCNN, Cascade FRCNN, FPN and Cascade FPN.
- Comparision, visualization and analysis of sustem ability and applications.
- Puplished on ICMLT Conferencein April 2021
Sound Event Labeling Tool
DEC. 2019 – SEP. 2020
- Article title:A Semi-automatic Sound Annotation Tool for Audio/Video data.[SCIE Journal]
- Semi-automatic sound event annotation tool using audio and video as input.
- Automatic event detector is used to detect the audio event.
- Based on the automatic detector result, an human annotation have to refine the annotation boundary.
- Easy to use, better audio visualization, python based and output in easy CSV data file.
- Diversified annotation tool for any rare sound event.
- Puplished on Livestock Sciencein Feb. 2022
CNN Based Sound Event Detection in Cowshed
DEC. 2019 – SEP. 2020
Cow Sound Event Localization and Classification
DEC. 2019 – SEP. 2020
- Article title:Visual Object Detector for Cow Sound Event Detection[SCIE Journal]
- Cow sound event detection dataset with 4 class categories.
- CNN used for sound event detection using Cow sound dataset and UrbanSound8K dataset.
- Visual object detection architecture (F-RCNN, CF-RCNN, FPN, C-FPC) used for audio event detection (in Log Mel-Spectrogram).
- Compare the proposed CNN and Visual object detection architecture using three test dataset.
- Puplished on IEEE Accessin Sep. 2020
Music-Video Emotion Classification
JAN. 2019 – SEP. 2019
Music Video Emotion Analysis
DEC. 2018 – MARCH 2019
Domestic Cat Sound Classification
DEC. 2017 – SEP. 2018
Domestic Cat Sound Classification using Transfer Learning
DEC. 2017 – MARCH 2018