A New Approach to Zero-Crossing and LPC Speech Detection for Low Power Terminals Using Speech Recognition Technology

被引：0

作者：

Ema K. ^{[1
,2
]}

Yasuda A. ^{[1
]}

Oshima F. ^{[1
,3
]}

机构：

[1] Department of Electrical and Electronic Engineering Faculty of Science and Engineering, Hosei University, 3-7-2, Kajino-cho, Koganei, Tokyo

[2] RISO KAGAKU CORPORATION, 2-8-1, Gakuenminami, Ibaraki, Tsukuba

[3] TOKYU TECHNO SYSTEM CO., LTD., 11-21, Imai Kamicho, Nakahara-ku, Kanagawa, Kawasaki

来源：

IEEJ Transactions on Electronics, Information and Systems | 2021年 / 141卷 / 12期

关键词：

position detection; speech detection; speech recognition;

D O I：

10.1541/ieejeiss.141.1424

中图分类号：

学科分类号：

摘要：

In recent years, the number of devices that have the ability to use speech as a user interface has been increasing. This function has the defect that its power consumption is large. It is not a problem for devices that use an external power supply, but it becomes a serious problem for battery-powered devices such as internet of things (IoT) devices. To solve this, we propose an analog front-end circuit that combines speech detection and position detection. By using these two detections as triggers to turn on the speech recognition, we can identify that a person is nearby. This makes it possible to minimize the operation time of the speech recognition system and to improve the power consumption. This paper presents the validation of the zero-crossing method and the linear predictive coding (LPC) analysis method as the speech detection methods used in our proposed system. The analysis results show the relationship between power consumption, detection time, and detection accuracy. © 2021 The Institute of Electrical Engineers of Japan.

引用

页码：1424 / 1429

页数：5

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