The open-set problem in acoustic scene classification

机译：声学场景分类中的开放集问题

获取原文

获取原文并翻译 | 示例

页面导航

摘要
著录项
相似文献
相关主题

摘要

Acoustic scene classification (ASC) has attracted growing research interest in recent years. Whereas the previous work has investigated closed-set classification scenarios, the predominant ASC application is open-set in nature. The contributions of the paper are (i) the first investigation of ASC in an open-set scenario, (ii) the formulation of open-set ASC as a detection problem, (iii) a classifier tailored to the open-set scenario and (iv) a new assessment protocol and metric. Experiments show that, despite the challenge of open-set ASC, reliable performance is achieved with the support vector data description classifier for varying levels of openness.

机译：近年来，声学场景分类（ASC）引起了越来越多的研究兴趣。尽管先前的工作已经研究了封闭集分类方案，但主要的ASC应用程序本质上是开放集的。该论文的贡献是（i）在开放场景下对ASC的首次调查;（ii）将开放式ASC制定为检测问题;（iii）针对开放场景的分类器;以及（ iv）新的评估协议和指标。实验表明，尽管存在开放式ASC的挑战，但使用支持向量数据描述分类器可实现各种开放度的可靠性能。

著录项

来源
《2016 IEEE International Workshop on Acoustic Signal Enhancement》|2016年|1-5|共5页
会议地点 Xian(CH)
作者
Daniele Battaglino; Ludovick Lepauloux; Nicholas Evans;
展开▼
作者单位

NXP Software, Mougins, France;

NXP Software, Mougins, France;

EURECOM, Biot, France;

展开▼
会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
Acoustics; Support vector machines; Protocols; Training; Context; Training data; Testing;

机译：声学;支持向量机;协议;培训;上下文;培训数据;测试;

相似文献

外文文献
中文文献
专利

1. Investigation of acoustic and visual features for acoustic scene classification [J] . Xie Jie, Zhu Mingying Expert Systems with Application . 2019,第JULa期

机译：声学和视觉特征的声学场景分类研究
2. Late fusion framework for Acoustic Scene Classification using LPCC, SCMC, and log-Mel band energies with Deep Neural Networks [J] . Paseddula Chandrasekhar, Gangashetty Suryakanth V Applied Acoustics . 2021,第Jana期

机译：使用LPCC，SCMC和LOG-MEL频段能量与深神经网络的后期融合框架进行声学场景分类
3. A Weighted Partial Domain Adaptation for Acoustic Scene Classification and Its Application in Fiber Optic Security System [J] . Ningyu He, Jie Zhu Quality Control, Transactions . 2021,第1期

机译：声场分类的加权部分域适应及其在光纤安全系统中的应用
4. The open-set problem in acoustic scene classification [C] . Daniele Battaglino, Ludovick Lepauloux, Nicholas Evans IEEE International Workshop on Acoustic Signal Enhancement . 2016

机译：声场分类中的开放式问题
5. Resynthesis of Urban Acoustic Scenes Based on Acoustic Event Detection. [D] . You, Jaeseong. 2017

机译：基于声事件检测的城市声场景再合成。
6. Sensory Processing: Echo-acoustic flow shapes object representation in spatially complex acoustic scenes [O] . Wolfgang Greiter, Uwe Firzlaff -1

机译：感官处理：在空间复杂的声学场景中回声流影响对象表示
7. Deep Open-Set Domain Adaptation for Cross-Scene Classification based on Adversarial Learning and Pareto Ranking [O] . Reham Adayel, Yakoub Bazi, Haikel Alhichri, 2020

机译：基于对抗学习和帕累托排名的跨场分类深度开放式域改编

The open-set problem in acoustic scene classification

摘要

著录项

相似文献

相关主题

期刊订阅