140 citations · 603 across the 66 of their papers we have counts for
8 papers · 2 filters
Discovering Sound Concepts and Acoustic Relations In Text
Anurag Kumar, Bhiksha Raj, Ndapandula Nakashole
In this paper we describe approaches for discovering acoustic concepts and relations in text. The first major goal is to be able to identify text phrases which contain a notion of…
An Approach for Self-Training Audio Event Detectors Using Web Data
Benjamin Elizalde, Ankit Shah, Siddharth Dalmia +5
Audio Event Detection (AED) aims to recognize sounds within audio and video recordings. AED employs machine learning algorithms commonly trained and tested on annotated datasets. H…
Experiments on the DCASE Challenge 2016: Acoustic Scene Classification and Sound Event Detection in Real Life Recording
Benjamin Elizalde, Anurag Kumar, Ankit Shah +4
In this paper we present our work on Task 1 Acoustic Scene Classi- fication and Task 3 Sound Event Detection in Real Life Recordings. Among our experiments we have low-level and hi…
Features and Kernels for Audio Event Recognition
Anurag Kumar, Bhiksha Raj
One of the most important problems in audio event detection research is absence of benchmark results for comparison with any proposed method. Different works consider different set…
AudioPairBank: Towards A Large-Scale Tag-Pair-Based Audio Content Analysis
Sebastian Sager, Benjamin Elizalde, Damian Borth +3
Recently, sound recognition has been used to identify sounds, such as car and river. However, sounds have nuances that may be better described by adjective-noun pairs such as slow…
Weakly Supervised Scalable Audio Content Analysis
Anurag Kumar, Bhiksha Raj
Audio Event Detection is an important task for content analysis of multimedia data. Most of the current works on detection of audio events is driven through supervised learning app…