Comparative analysis of different parameters used for optimization in the process of speaker and speech recognition using deep neural network
The process of speaker recognition in a noisy and distant environment is a difficult task as it faces numerous challenges before clean speaker speech signal reaching the microphone. While developing a deep neural network for robust functioning in extreme conditions, the selection of a perfectly comp...
Saved in:
Main Authors: | Natarajan, Sureshkumar, Al-Haddad, Syed Abdul Rahman, Ahmad, Faisul Arif, Hassan, Mohd Khair, Raja Kamil, Azrad, Syaril, Yahya, Mohammed Nawfal, Macleans, June Francis, Salvekar, Pratiksha Prashant |
---|---|
Format: | Conference or Workshop Item |
Published: |
IEEE
2022
|
Online Access: | http://psasir.upm.edu.my/id/eprint/37829/ https://ieeexplore.ieee.org/document/10040065 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Role of beamforming techniques in the future for IoT, artificial intelligence, and real time processing
by: Natarajan, Sureshkumar, et al.
Published: (2024) -
Robust digital speech watermarking for online speaker recognition
by: Nematollahi, Mohammad Ali, et al.
Published: (2015) -
Speaker Independent Speech Recognition Using Neural Network
by: Tan, Chin Luh
Published: (2004) -
Digital speech watermarking for anti-spoofing attack in speaker recognition
by: Nematollahi, Mohammad Ali, et al.
Published: (2014) -
Semi-fragile digital speech watermarking for online speaker recognition
by: Nematollahi, Mohammad Ali, et al.
Published: (2015)