NDLI: Low-Cost Speaker and Language Recognition Systems Running on a Raspberry Pi

Content Provider	IEEE Xplore Digital Library
Author	Haro, L.F.D. Cordoba, R. Rojo Rivero, J.I. Diez de la Fuente, J. Avendano Peces, D. Bermudo Mera, J.M.
Copyright Year	2003
Abstract	This paper describes two state-of-the-art and portable voice-based authentication and language recognition systems. While the authentication system allows secure access to a media center at home, the language recognition system can be used as a previous step to automatically transcribe and translate the recognized text from its original language into another one. The most important advantage of the developed systems is that they can run on a low cost embedded device, such as a Raspberry Pi (RPi), and using only open-source projects, which makes it feasible to replicate or include in other systems, but also allows its implementation as part of educational projects in electronics. The developed systems have been tested on real data with very good results. Regarding the authentication system, the validation process is done in 3.3 seconds in average with an EER of 19% on test files with 20 seconds, and tested with up to 87 different speakers. On the other hand, the language recognition system is able to recognize up to six languages. For this system, important efforts were done in order to reduce the processing time and memory requirements while keeping high the recognition rate. The final system uses 64 Gaussians and 200 i-vectors, obtaining a Cavg error rate of 8.6% for the six languages.
Starting Page	755
Ending Page	763
Page Count	9
File Size	587231
File Format	PDF
ISSN	15480992
Volume Number	12
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Economic indicators Media Multimedia communication Androids Humanoid robots Robustness Software Speaker recognition embedded devices i-vectors Language recognition open-source tools
Content Type	Text
Resource Type	Article
Subject	Computer Science Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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