2020 DetectingtheSpeakerUsingArtificialNeuralNetworksontheAudioSignal

7 Pages·2020·1.25 MB·English

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Detecting the Speaker Using Artificial Neural Networks on the Audio Signal

Conference Paper · October 2020

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1st International Applied Statistics Conference (UYIK-2020)

Online – Tokat / Turkey, 1-4 October 2020

1st International Applied Statistics Conference (UYIK-2020)

Online – Tokat / Turkey, 1-4 October 2020

1st INTERNATIONAL

APPLIED STATISTICS CONFERENCE

Proceedings of the UYIK-2020

ISBN: 978-975-7328-78-0

Note: All administrative, academic and legal responsibilities of the departments belong to their authors

1st International Applied Statistics Conference (UYIK-2020)

Online – Tokat / Turkey, 1-4 October 2020

COMMITTEES

HONOURARY COMMITTEE

Dr.
Governor of Tokat

CONFERENCE CO-CHAIRMANS

Prof. Dr. Orhan Kavuncu, Kastamonu University

Ömer Halisdemir University

CONFERENCE SECRETARIAT

Dr. Saniye Demir,

y

ORGANIZING COMMITTEE

Prof. Dr. Ali Reza Vaezi, University of Zanjan

Prof. Dr. Daniel Liberacki, University of Life Sciences in Poznan

Prof. Dr. Ercan Efe,

Prof.
Ankara University

Prof. Dr. Hasan Önder, Ondokuz May s University

Prof. Dr. Husna Leila Yusran, Trisakti University, Indonesia

Prof. Dr. Jacek Dlugosz, UTP University, Poland

Prof. Dr. Muhip Özkan, Ankara University

P

Prof. Dr. Piotr Stachowski, University of Life Sciences in Poznan

Prof. Dr. Rosman Bin Md Yusoff, Tun Hussien Onn University, Malaysia

Prof. Dr. Soner Çankaya, Ondokuz M

1st International Applied Statistics Conference (UYIK-2020)

Online – Tokat / Turkey, 1-4 October 2020

SCIENTIFIC COMMITTEE

Prof. Dr.

Prof. Dr. Asep Hermawan, Trisakti University, Indonesia

Prof. Dr. Cemal Atakan, Ankara University

Prof. Dr.

Prof. Dr.
University

Prof. Dr. E

Prof. Dr. Emin Özköse,

Prof. Dr.

Prof. Dr. Güzin Yüksel, Çukurova University

Prof. Dr.

Prof. Dr. Hasan Bal, Gazi University

Prof. Dr. Hasan Örkçü, Gazi University

Prof. Dr. Hikmet Orhan, Suleyman Demirel University

Prof. Dr. Hüdaverdi Bircan, Cumhuriyet University

Prof. Dr.

Prof. Dr.

Prof. Dr.

Prof. Dr. Kabir Haruna Danja, Federal College of Education Zaira, Nigeria

Prof. Dr. Kam

Prof. Dr.

Prof. Dr.

Prof. Dr.

Prof. Dr. Mehmet Mendes, Çanakkale Onsekiz Mart University

Prof. Dr.

Prof. Dr. Mohammad Masood Tariq, Balochistan University, Pakistan

Prof. Dr. Muhammed Bekci, Cumhuriyet University

Prof. Dr. Ömer Cevdet Bilgin, Atatürk University

Prof. Dr. Özgür Yeniay, Hacettepe University

Prof. Dr.

Prof. Dr.

Prof. Dr.

1st International Applied Statistics Conference (UYIK-2020)

Online – Tokat / Turkey, 1-4 October 2020

Statistical Inference for the Quasi-Exponential Distribution Based on Progressively Type-II
Censored Samples ............................................................................................................................ 131

................................................ 132

........ 133

Regression Analysis of Morphological Traits on Body Weight in South African Non- Descriptive
Indigenous Goats.............................................................................................................................. 140
Determination of Best Fitted Regression Model for Estimation of Body Weight in Nguni Cattle.. 141
Forecasting for Tea Production and Yield in Turkey....................................................................... 142

........ 143

Estimating Claims Reserve Splitting IBNER and IBNYR in the Chain Ladder Method ................ 151
Determination of Direct and Indirect Effects of Weaning Weight in Anatolian Buffaloes ............. 156
Changes in Statistics in the Big Data Age........................................................................................ 157
Factors Influencing the Educational Achievements of the Students in the University of Peshawar,
Pakistan ............................................................................................................................................ 158
The Cohort Component Method Applied in the Albanian Population Projection ........................... 163
Clustering Using Genetic Algorithm in Data Mining ...................................................................... 173
Clustering Analysis Using Ensemble Methods in Machine Learning ............................................. 174
Using Stochastic Differential Equations Modelling for Agricultural Products on Real Data.......... 175
Increasing the Power of Goodness of Fit Tests for Cauchy Distribution Versus Symmetrical
Distributions for Small Samples by Means of Characterization ...................................................... 176
Detecting the Speaker Using Artificial Neural Networks on the Audio Signal............................... 177
Flexicurity: A Comparison to OECD Countries .............................................................................. 178

........................................................................................................................ 179

Estimation of the Ridge Parameter Using the Jackknife Approach ................................................. 180
Statistical Modelling of Lamb Culling During the Rearing Period with the Use of Classification
Trees................................................................................................................................................. 181
Normality Tests of Morphological Measurements of Biological Data of Sheep ............................. 182
Nonlinear Dimensional Reduction to with the Use of Artificial Neural Networks in Patients with
Breast Tumor.................................................................................................................................... 183
Application of Gompertz Model on Broilers Growth ...................................................................... 184
Sample Size in Clinical Trials: Power of the Test and Effect Size .................................................. 185
Modification of the Schnute Growth Model .................................................................................... 187
A Comparative Study of Excel Spreadsheet and JMP Statistical Software’s for Regression Analysis
in Agricultural Studies: A Case Study of Chickpea Yield Management by Land Rolling .............. 188
Finite Element Models Applied to Predict Soil Compaction in Agricultural Areas ........................ 194

................................................................... 198

............................ 204

Almond Pro
.. 205

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Türkiy
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...................... 209

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Çoklu Hipotez Test Yöntemleri ile

..................................................................................................................................... 211

...................................... 212

Producing Short-Term Forecasts of Turkish Gross Domestic Product: A Bottom-Up Approach from
the Demand Side .............................................................................................................................. 213

Dijital

...................................................................... 214

Experimental Design and Use of SPSS in Agricultural Research.................................................... 224
Drug Eluting Stents versus Bare Metal Stents in Patients with ST-Elevated Myocardial Infarction225
Uncertainty of the Claims Development Result in the Chain Ladder Method for Compulsory Motor
Insurance .......................................................................................................................................... 230

1st International Applied Statistics Conference (UYIK-2020)

Online – Tokat / Turkey, 1-4 October 2020

Detecting the Speaker Using Artificial Neural Networks on the Audio Signal

1, Hasan ÖNDER1

1
tural Faculty, Department of Animal Science, 55139, Atakum,

Samsun, Turkey

Abstract

This study aimed to determine the effectiveness of the identification of the speaker and his/her gender
in artificial neural networks (ANN) through voice signals, which are rapidly increasing in security and
cyber security. As the experimental material, the word "book", which was recited by 5 women, 5 men
with 10 repetitions between the ages of 19-30, was used as a sound recording. Voice recordings were
recorded with a Sony Icd-Px470 tape recorder from a fixed distance and were recorded as 128kb / sec.
MATLAB software was used to make analysis. According to the results, the coefficient of determination
for the identity of the speaker according to the ANN classification was 0.90, and the coefficient of
determination for the identity the speaker's gender was 1.0. Results showed that Artificial Neural
Networks can be easily and reliably used to determine the gender and identity of individual person by
using audio signals.

Key words: Artificial Neural Networks, gender, identity, speaker, voice recognition

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