Intelligent appliance control using a low-cost embedded speech recognizer

Author

Chia-Hung Chang ; Zhi-Houng Zhou ; Szu-Hsien Lin ; Jia-Ching Wang ; Jhing-Fa Wang

Author_Institution

Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan

fYear

2012

fDate

27-29 Aug. 2012

Firstpage

311

Lastpage

314

Abstract

In this paper, we present an embedded system design for speech recognition based appliance control. The Mel-frequency cepstral coefficient (MFCC) features for speech attribute extraction and dynamic time warping algorithm (DTW) for speech attribute matching are implemented with the low cost and resource-limited micro controller unit (MCU) - SPCE061A. While sampling input speech data, the idle time of MCU is used to perform MFCC extraction and DTW for frame-synchronous operations to achieve real-time requirement. The proposed embedded system can be used for the speech based appliance control which is a key technology for home automation.

Keywords

domestic appliances; embedded systems; home automation; microcontrollers; speech recognition; DTW; MCU; MFCC extraction; Mel-frequency cepstral coefficient features; SPCE061A; dynamic time warping algorithm; embedded system design; frame-synchronous operations; home automation; input speech data; intelligent appliance control; low-cost embedded speech recognizer; resource-limited micro controller unit; speech attribute extraction; speech attribute matching; speech recognition based appliance control; Finite impulse response filter; Ice; Lattices; Mel frequency cepstral coefficient; Radiation detectors; Speech; Speech recognition; Embedded system; SPCE061A microcontroller; inteligent appliance; speech recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing and Networking Technology (ICCNT), 2012 8th International Conference on

Conference_Location

Gueongju

Print_ISBN

978-1-4673-1326-1

Type

conf

Filename

6418674