Speaker Recognition with Deep Learning Approaches: A Review

被引:0
|
作者
Alenizi, Abdulrahman S. [1 ]
Al-Karawi, Khamis A. [2 ]
机构
[1] PAAET, Shuwaikh Ind, Kuwait
[2] Diyala Univ, Baqubah, Diyala, Iraq
关键词
Deep learning text independence; Feature extraction; Statistical models; Discriminative models; Speaker identification; And speaker verification; MACHINES; NOISE;
D O I
10.1007/978-981-97-3289-0_39
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This article gives an overview of the methods for using deep learning to identify and verify speakers. Speaker recognition is an everyday use of speech technology. Many research initiatives have been carried out in the past few years, but little progress has been achieved. But just as deep learning techniques are replacing previous state-of-the-art approaches in speech recognition, they are also developing in most machine learning fields. Deep learning seems to have evolved into the most advanced speaker verification and identification technique. Most novel efforts start with the common x-vectors in addition to i-vectors. The increasing volume of data gathered makes the area where deep learning is most effective more accessible.
引用
收藏
页码:481 / 499
页数:19
相关论文
共 50 条
  • [1] Deep learning methods in speaker recognition: A review
    Sztahó D.
    Szaszák G.
    Beke A.
    Periodica polytechnica Electrical engineering and computer science, 2021, 65 (04): : 310 - 328
  • [2] Analysis of Speaker Recognition in Blended Emotional Environment Using Deep Learning Approaches
    Tomar, Shalini
    Koolagudi, Shashidhar G.
    PATTERN RECOGNITION AND MACHINE INTELLIGENCE, PREMI 2023, 2023, 14301 : 691 - 698
  • [3] Review on Face Recognition by Machine Learning and Deep Learning Approaches
    Jain, Pooja
    Gupta, Sheifali
    Ramkumar, K. R.
    PROCEEDINGS OF THE 2019 6TH INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT (INDIACOM), 2019, : 528 - 534
  • [4] A deep learning approach for speaker recognition
    Hourri, Soufiane
    Kharroubi, Jamal
    INTERNATIONAL JOURNAL OF SPEECH TECHNOLOGY, 2020, 23 (01) : 123 - 131
  • [5] A deep learning approach for speaker recognition
    Soufiane Hourri
    Jamal Kharroubi
    International Journal of Speech Technology, 2020, 23 : 123 - 131
  • [6] ADVANCES IN DEEP NEURAL NETWORK APPROACHES TO SPEAKER RECOGNITION
    McLaren, Mitchell
    Lei, Yun
    Ferrer, Luciana
    2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP), 2015, : 4814 - 4818
  • [7] Deep Neural Network Approaches to Speaker and Language Recognition
    Richardson, Fred
    Reynolds, Douglas
    Dehak, Najim
    IEEE SIGNAL PROCESSING LETTERS, 2015, 22 (10) : 1671 - 1675
  • [8] Speaker recognition based on deep learning: An overview
    Bai, Zhongxin
    Zhang, Xiao-Lei
    NEURAL NETWORKS, 2021, 140 : 65 - 99
  • [9] Speaker Recognition through Deep Learning Techniques: A Comprehensive Review and Research Challenges
    Shome N.
    Sarkar A.
    Ghosh A.K.
    Laskar R.H.
    Kashyap R.
    Periodica polytechnica Electrical engineering and computer science, 2023, 67 (03): : 300 - 336
  • [10] Deep learning approaches for object recognition in plant diseases: a review
    Zhou, Zimo
    Zhang, Yue
    Gu, Zhaohui
    Yang, Simon X.
    INTELLIGENCE & ROBOTICS, 2023, 3 (04): : 514 - 537