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20132024
most citedFreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

140 citations · 603 across the 66 of their papers we have counts for

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Showing 2016 · cs.SDShow all

8 papers · 2 filters

cs.SD2016

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…

cs.SD2016

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…

cs.SD2016★ 27 cited

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…

cs.SD2016★ 6 cited

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…

cs.SD2016

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…

cs.SD2016

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…