182 citations · 435 across the 38 of their papers we have counts for
4 papers · 2 filters
Knowledge Transfer from Weakly Labeled Audio using Convolutional Neural Network for Sound Events and Scenes
Anurag Kumar, Maksim Khadkevich, Christian Fugen
In this work we propose approaches to effectively transfer knowledge from weakly labeled web audio data. We first describe a convolutional neural network (CNN) based framework for…
Framework for evaluation of sound event detection in web videos
Rohan Badlani, Ankit Shah, Benjamin Elizalde +2
The largest source of sound events is web videos. Most videos lack sound event labels at segment level, however, a significant number of them do respond to text queries, from a mat…
Content-based Representations of audio using Siamese neural networks
Pranay Manocha, Rohan Badlani, Anurag Kumar +3
In this paper, we focus on the problem of content-based retrieval for audio, which aims to retrieve all semantically similar audio recordings for a given audio clip query. This pro…
Deep CNN Framework for Audio Event Recognition using Weakly Labeled Web Data
Anurag Kumar, Bhiksha Raj
The development of audio event recognition systems require labeled training data, which are generally hard to obtain. One promising source of recordings of audio events is the larg…