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Studies on noise robust automatic speech recognition

机译:噪声鲁棒自动语音识别研究

摘要

Noise in everyday acoustic environments such as cars, traffic environments, and cafeterias remains one of the main challenges in automatic speech recognition (ASR). As a research theme, it has received wide attention in conferences and scientific journals focused on speech technology. This article collection reviews both the classic and novel approaches suggested for noise robust ASR. The articles are literature reviews written for the spring 2009 seminar course on noise robust automatic speech recognition (course code T-61.6060) held at TKK.
机译:汽车,交通环境和自助餐厅等日常声学环境中的噪声仍然是自动语音识别(ASR)的主要挑战之一。作为研究主题,它在以语音技术为中心的会议和科学期刊中受到了广泛关注。本文收集了针对噪声鲁棒ASR建议的经典和新颖方法。这些文章是针对在TKK举行的2009年春季的抗噪声自动语音识别(课程代码T-61.6060)研讨会课程撰写的文献评论。

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