1 citations · 1 across the 4 of their papers we have counts for
4 papers
Leveraging Audio-Tagging Assisted Sound Event Detection using Weakified Strong Labels and Frequency Dynamic Convolutions
Tanmay Khandelwal, Rohan Kumar Das, Andrew Koh +1
Jointly learning from a small labeled set and a larger unlabeled set is an active research topic under semi-supervised learning (SSL). In this paper, we propose a novel SSL method…
Language-Based Audio Retrieval with Converging Tied Layers and Contrastive Loss
Andrew Koh, Eng Siong Chng
In this paper, we tackle the new Language-Based Audio Retrieval task proposed in DCASE 2022. Firstly, we introduce a simple, scalable architecture which ties both the audio and tex…
Automated Audio Captioning with Epochal Difficult Captions for Curriculum Learning
Andrew Koh, Soham Tiwari, Chng Eng Siong
In this paper, we propose an algorithm, Epochal Difficult Captions, to supplement the training of any model for the Automated Audio Captioning task. Epochal Difficult Captions is a…
Automated Audio Captioning using Transfer Learning and Reconstruction Latent Space Similarity Regularization
Andrew Koh, Fuzhao Xue, Eng Siong Chng
In this paper, we examine the use of Transfer Learning using Pretrained Audio Neural Networks (PANNs), and propose an architecture that is able to better leverage the acoustic feat…