Multi-room speech activity detection using a distributed microphone network in domestic environments
Multi-room speech activity detection using a distributed microphone network in domestic environments
复制标题
在家庭环境中使用分布式麦克风网络进行多房间语音活动检测
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
P. Maragos
中科院分区：
文献类型：
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作者：
Panagiotis Giannoulis;A. Brutti;M. Matassoni;A. Abad;Athanasios Katsamanis;Miguel Matos;G. Potamianos;P. Maragos
家庭环境对于远程语音识别来说尤其具有挑战性：混响、背景噪声和干扰源，以及声学事件在相邻房间的传播，都会严重降低标准语音处理算法的性能。在这个应用场景中，一个关键的任务是检测和定位各个房间内用户产生的语音事件。多房间环境的一个具体挑战是房间间干扰，它会对语音活动检测器产生负面影响。在本文中，我们提出并比较了多房间语音活动检测任务的不同解决方案。基于模型的独立于房间的语音活动检测模块与基于特定特征的独立于房间的内部/外部分类阶段的组合提供了令人满意的性能。所提出的方法在多房间、多通道语料库上进行评估，其中语音命令和其他典型的声学事件发生在不同的房间。
Domestic environments are particularly challenging for distant speech recognition: reverberation, background noise and interfering sources, as well as the propagation of acoustic events across adjacent rooms, critically degrade the performance of standard speech processing algorithms. In this application scenario, a crucial task is the detection and localization of speech events generated by users within the various rooms. A specific challenge of multi-room environments is the inter-room interference that negatively affects speech activity detectors. In this paper, we present and compare different solutions for the multi-room speech activity detection task. The combination of a model-based room-independent speech activity detection module with a room-dependent inside/outside classification stage, based on specific features, provides satisfactory performance. The proposed methods are evaluated on a multi-room, multi-channel corpus, where spoken commands and other typical acoustic events occur in different rooms.
影响因子：
4.3
作者：
Barker, Jon;Vincent, Emmanuel;Green, Phil
通讯作者：
Green, Phil