Robust far-field spoken command recognition for home automation combining adaptation and multichannel processing
Robust far-field spoken command recognition for home automation combining adaptation and multichannel processing
复制标题
结合自适应和多通道处理的强大远场语音命令识别，用于家庭自动化
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
A. Tsiami
中科院分区：
文献类型：
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作者：
Athanasios Katsamanis;I. Rodomagoulakis;G. Potamianos;P. Maragos;A. Tsiami
本文介绍了我们实现语音控制家庭自动化的方法。我们的重点是检测和识别语音指令之前的关键短语，这些语音指令是由安装在房间里的一组多个麦克风录下来的。针对这两个问题，我们研究了鲁棒建模、环境适应和多通道处理，以应对a)训练数据不足和b)公寓中的远场效应和噪声。在具有挑战性和高度逼真的模拟录音语料库中对所提出的集成方案进行了评估，关键短语识别的F-measure接近0.70，命令识别任务的单词准确率接近98%。
The paper presents our approach to speech-controlled home automation. We are focusing on the detection and recognition of spoken commands preceded by a key-phrase as recorded in a voice-enabled apartment by a set of multiple microphones installed in the rooms. For both problems we investigate robust modeling, environmental adaptation and multichannel processing to cope with a) insufficient training data and b) the far-field effects and noise in the apartment. The proposed integrated scheme is evaluated in a challenging and highly realistic corpus of simulated audio recordings and achieves F-measure close to 0.70 for key-phrase spotting and word accuracy close to 98% for the command recognition task.
影响因子：
4.3
作者：
Barker, Jon;Vincent, Emmanuel;Green, Phil
通讯作者：
Green, Phil