Young Researcher Paper Award 2023

Notice of retraction
Vol. 34, No. 8(3), S&M3042

Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

Instructions to authors
English    日本語

Instructions for manuscript preparation
English    日本語


 Sensors and Materials
 1-23-3-303 Sendagi,
 Bunkyo-ku, Tokyo 113-0022, Japan
 Tel: 81-3-3827-8549
 Fax: 81-3-3827-8547

MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.

MYU Research

(proofreading and recording)

(translation service)

The Art of Writing Scientific Papers

(How to write scientific papers)
(Japanese Only)

Sensors and Materials, Volume 34, Number 7(4) (2022)
Copyright(C) MYU K.K.
pp. 2809-2819
S&M3007 Research Paper of Special Issue
Published: July 28, 2022

Recognition System for Cantonese Speakers in Different Noisy Environments Based on Estimate–Maximize Algorithm [PDF]

Yu Fan, Chin-Ta Chen, and Cheng-Fu Yang

(Received March 29, 2022; Accepted May 24, 2022)

Keywords: speaker identification, estimate–maximize algorithm, Gaussian mixture model, Mel-frequency cepstrum coefficient, maximum likelihood estimation

Highly accurate personal identification systems are required in many different recognition situations. In this study, the Mel-frequency cepstrum coefficient was used to extract the features of speakers. The aim of this study was to identify different speeches in different noisy environments. A maximum likelihood estimation method based on noise probability was proposed to enhance the recognition effects of the Gaussian mixture model of different speeches from mixed noise speech signals. Experimental results indicated that the method had high recognition results under various noise conditions. The recognition results of the proposed method in different noise environments were superior to those of a method using only one type of noise for modeling. Experimental results obtained from some unspecified speakers showed that three different languages (Mandarin, English, and Cantonese) were effectively identified.

Corresponding author: Yu Fan, Cheng-Fu Yang

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Yu Fan, Chin-Ta Chen, and Cheng-Fu Yang, Recognition System for Cantonese Speakers in Different Noisy Environments Based on Estimate–Maximize Algorithm, Sens. Mater., Vol. 34, No. 7, 2022, p. 2809-2819.

Forthcoming Regular Issues

Forthcoming Special Issues

Applications of Novel Sensors and Related Technologies for Internet of Things
Guest editor, Teen-Hang Meen (National Formosa University), Wenbing Zhao (Cleveland State University), and Cheng-Fu Yang (National University of Kaohsiung)
Call for paper

Special Issue on Advanced Data Sensing and Processing Technologies for Smart Community and Smart Life
Guest editor, Tatsuya Yamazaki (Niigata University)
Call for paper

Special Issue on Advanced Sensing Technologies and Their Applications in Human/Animal Activity Recognition and Behavior Understanding
Guest editor, Kaori Fujinami (Tokyo University of Agriculture and Technology)
Call for paper

Special Issue on International Conference on Biosensors, Bioelectronics, Biomedical Devices, BioMEMS/NEMS and Applications 2023 (Bio4Apps 2023)
Guest editor, Dzung Viet Dao (Griffith University) and Cong Thanh Nguyen (Griffith University)
Conference website
Call for paper

Special Issue on Piezoelectric Thin Films and Piezoelectric MEMS
Guest editor, Isaku Kanno (Kobe University)
Call for paper

Special Issue on Advanced Micro/Nanomaterials for Various Sensor Applications (Selected Papers from ICASI 2024)
Guest editor, Sheng-Joue Young (National United University)
Conference website
Call for paper

Copyright(C) MYU K.K. All Rights Reserved.