Gender Recognition by Voice Using Machine Learning

被引：0
|
作者：
Bhatia, Rohit [1 ]
Singh, Nagendra Pratap [1 ]
机构：
[1] Natl Inst Technol Hamirpur, Hamirpur, India
来源：
ADVANCED NETWORK TECHNOLOGIES AND INTELLIGENT COMPUTING, ANTIC 2021 | 2022年 / 1534卷
关键词：
Acoustic features; MFCC; LPC; KNN; SVM; Uniform distribution; Normalization; Gaussian distribution;
D O I：
10.1007/978-3-030-96040-7_25
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Recently, gender recognition has become an important area of research. Gender recognition can be used in various fields like for security purposes, speaker identification and speaker recognition. Various techniques has been used to identify the gender of person like using facial analysis, voice identification, machine learning, deep learning, using features like LPC and MFCC. This paper deals with identifying the gender using Acoustic properties of voice using Machine learning and how the accuracy vary when dataset goes through different transformation. It shows that we achieve maximum accuracy when uniform transformation is applied on dataset in case of KNN and SVM both.
引用
收藏
页码：307 / 318
页数：12
相关论文
共 50 条
  • [31] Evaluation of Gender Bias in Facial Recognition with Traditional Machine Learning Algorithms
    Atay, Mustafa
    Gipson, Hailey
    Gwyn, Tony
    Roy, Kaushik
    2021 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI 2021), 2021,
  • [32] Voice pathology detection using machine learning algorithms based on different voice databases
    Latiff, Nurul Mu'azzah Abdul
    Al-Dhief, Fahad Taha
    Sazihan, Nurul Fariesya Suhaila Md
    Baki, Marina Mat
    Abd Malik, Nik Noordini Nik
    Albadr, Musatafa Abbas Abbood
    Abbas, Ali Hashim
    RESULTS IN ENGINEERING, 2025, 25
  • [33] Machine learning methods for improving gender recognition from stop consonants
    Lukasik, E
    Susmaga, R
    NEURAL NETWORKS AND SOFT COMPUTING, 2003, : 424 - 429
  • [34] Voice-Based Human Identification using Machine Learning
    Alsaify, Baha A.
    Abu Arja, Hadeel S.
    Maayah, Baskal Y.
    Al-Taweel, Masa M.
    Alazrai, Rami
    Daoud, Mohammad, I
    2022 13TH INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION SYSTEMS (ICICS), 2022, : 205 - 208
  • [35] Parkinson's Disease Diagnosis Using Machine Learning and Voice
    Wroge, Timothy J.
    Ozkanca, Yasin
    Demiroglu, Cenk
    Si, Dong
    Atkins, David C.
    Ghomi, Reza Hosseini
    2018 IEEE SIGNAL PROCESSING IN MEDICINE AND BIOLOGY SYMPOSIUM (SPMB), 2018,
  • [36] Recognition of Patient Gender: A Machine Learning Preliminary Analysis Using Heart Sounds from Children and Adolescents
    Carrillo-Larco, Rodrigo M.
    PEDIATRIC CARDIOLOGY, 2024,
  • [37] Cauliflower Disease Recognition Using Machine Learning and Transfer Learning
    Maria, Syeda Khadizatul
    Taki, Shahrun Siddique
    Mia, Md Jueal
    Biswas, Al Amin
    Majumder, Anup
    Hasan, Firoz
    SMART SYSTEMS: INNOVATIONS IN COMPUTING (SSIC 2021), 2022, 235 : 359 - 375
  • [38] Character Recognition using Machine Learning and Deep Learning - A Survey
    Sharma, Reya
    Kaushik, Baijnath
    Gondhi, Naveen
    2020 INTERNATIONAL CONFERENCE ON EMERGING SMART COMPUTING AND INFORMATICS (ESCI), 2020, : 341 - 345
  • [39] Manuscripts Character Recognition Using Machine Learning and Deep Learning
    Islam, Mohammad Anwarul
    Iacob, Ionut E.
    MODELLING, 2023, 4 (02): : 168 - 188
  • [40] Monuments Recognition using Deep Learning VS Machine Learning
    Hesham, Shahd
    Khaled, Rawan
    Yasser, Dalia
    Refaat, Samira
    Shorim, Nada
    Ismail, Fatma Helmy
    2021 IEEE 11TH ANNUAL COMPUTING AND COMMUNICATION WORKSHOP AND CONFERENCE (CCWC), 2021, : 258 - 263
12345