Speech enhancement for robust speech recognition in car environments using Griffiths-Jim ANC based on two-paired microphones

Yongseok Cho, Hanseok Ko
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引用次数: 9

Abstract

~ This paper presents a speech enhancement method wliiclt is to inipruve the speech recognition in car noisy enviromnents. Coiiventional single and two charinel algorirhms differ from recaynition performance accordirig to each microphone’s position (chanael). Moreover. there is an ever-iucreasing demand for safety in cars. and speech reci~ynitiun swtenrs are nowadays of”n used. i n this paper, we propose a method, hxhrid al~qorithm using the Griflths-Jim adaptive noise caricellution (ANC) based on two-paired microphones. which improved speech recognition result fiorn red~rced noise signal. The simulated experiments showed LIS that the proposed algorithm is effective in realized car environments. which is iinrelnted to channels in a car. Index Terms Adaptive noise cancellation (ANC) , GriflithsJim, Speech enhancements, Speech recognition, Spectral suhractian. I
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基于双对麦克风的Griffiths-Jim ANC对汽车环境中鲁棒语音识别的语音增强
为了提高汽车噪声环境下的语音识别能力,本文提出了一种语音增强方法。传统的单通道和双通道识别算法会根据每个麦克风的位置(通道)而有所不同。此外。人们对汽车安全性的要求越来越高。如今,语音接收和语音识别器被广泛使用。在本文中,我们提出了一种基于双对传声器的Griflths-Jim自适应噪声刻画(ANC)的混合算法。提高了红光噪声信号下的语音识别效果。仿真实验表明,该算法在实际的汽车环境中是有效的。这与汽车的频道有关。自适应噪声消除(ANC), GriflithsJim,语音增强,语音识别,频谱提取。我
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