ShipsEar: An underwater vessel noise database
ShipsEar: An underwater vessel noise database
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DOI：
10.1016/j.apacoust.2016.06.008
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发表时间：
2016-12-01
影响因子：
3.4
通讯作者：
Pena-Gimenez, Antonio
中科院分区：
文献类型：
--
作者：
Santos-Dominguez, David;Torres-Guijarro, Soledad;Pena-Gimenez, Antonio
对于水声研究人员来说，音频数据库明显缺乏。为了缓解这种情况，ShipsEar，一个船舶和船只声音的水下录音数据库，已经在http://atlanttic.uvigo.es/underwaternoise/上提供给研究界。该数据库目前由来自11种船舶类型的90条声音记录组成。它包括详细信息的技术方面的记录和环境和其他条件在收购过程中。为了证明ShipsEar的实用性，基于倒谱系数和高斯混合模型开发了船舶分类器。在ShipsEar数据库的一个子集上进行了测试，其中将原始的11种船舶类型合并为4种船舶尺寸类别。该系统的总体分类率为75.4%，检测船舶存在的准确率为100%。ShipsEar对于基于处理水下船只声音的应用程序的开发和测试具有潜在的用途。(C) 2016 Elsevier Ltd.版权所有。
There is a manifest shortage of audio databases available to underwater acoustics researchers. With the aim of palliating this situation, ShipsEar, a database of underwater recordings of ship and boat sounds, has been made available to the research community at http://atlanttic.uvigo.es/underwaternoise/. The database is currently composed of 90 records representing sounds from 11 vessel types. It includes detailed information on technical aspects of the recordings and environmental and other conditions during acquisition. To demonstrate the usefulness of ShipsEar, a vessel classifier was developed, based on cepstral coefficients and Gaussian mixture models. It was tested on a subset of ShipsEar database in which the original 11 vessel types were merged into 4 vessel size classes. The system yielded an overall classification rate of 75.4%, and 100% accuracy in detecting vessel presence. ShipsEar is potentially useful for the development and testing of applications based on processing underwater vessel sound. (C) 2016 Elsevier Ltd. All rights reserved.