Multi-style speaker recognition database in practical conditions

Article Properties
Cite
Das, Rohan Kumar, et al. “Multi-Style Speaker Recognition Database in Practical Conditions”. International Journal of Speech Technology, vol. 21, no. 3, 2017, pp. 409-1, https://doi.org/10.1007/s10772-017-9475-4.
Das, R. K., Jelil, S., & Prasanna, S. R. M. (2017). Multi-style speaker recognition database in practical conditions. International Journal of Speech Technology, 21(3), 409-419. https://doi.org/10.1007/s10772-017-9475-4
Das, Rohan Kumar, Sarfaraz Jelil, and S. R. Mahadeva Prasanna. “Multi-Style Speaker Recognition Database in Practical Conditions”. International Journal of Speech Technology 21, no. 3 (2017): 409-19. https://doi.org/10.1007/s10772-017-9475-4.
Das RK, Jelil S, Prasanna SRM. Multi-style speaker recognition database in practical conditions. International Journal of Speech Technology. 2017;21(3):409-1.
Refrences
Title Journal Journal Categories Citations Publication Date
Development of Multi-Level Speech based Person Authentication System Journal of Signal Processing Systems
  • Science: Science (General): Cybernetics: Information theory
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
22 2017
Development and evaluation of online text-independent speaker verification system for remote person authentication International Journal of Speech Technology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
10 2013
10.1109/TASL.2010.2064307 2011
Real time implementation of speaker identification system with frame picking algorithm Procedia Computer Science 10 2010
10.1109/TSA.2005.848892 2005
Citations
Title Journal Journal Categories Citations Publication Date
TRSD: A Time-Varying and Region-Changed Speech Database for Speaker Recognition Circuits, Systems, and Signal Processing
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
2 2022
HiLAM-state discriminative multi-task deep neural network in dynamic time warping framework for text-dependent speaker verification Speech Communication
  • Science: Physics: Acoustics. Sound
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
3 2020
Citations Analysis
The category Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled HiLAM-state discriminative multi-task deep neural network in dynamic time warping framework for text-dependent speaker verification and was published in 2020. The most recent citation comes from a 2022 study titled TRSD: A Time-Varying and Region-Changed Speech Database for Speaker Recognition. This article reached its peak citation in 2022, with 1 citations. It has been cited in 2 different journals. Among related journals, the Circuits, Systems, and Signal Processing cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year