An Efficient Speaker Identification Approach for Biometric Access Control System
K Jha, A Jain, S Srivastava - 2023 5th International Conference …, 2023 - ieeexplore.ieee.org
This work proposes an efficient cepstral-frequency domain based acoustic feature as a
speaker identification solution for reliable biometric access control system. The …
speaker identification solution for reliable biometric access control system. The …
Design of siamese network for underwater target recognition with small sample size
D Liu, W Shen, W Cao, W Hou, B Wang - Applied Sciences, 2022 - mdpi.com
The acquisition of target data for underwater acoustic target recognition (UATR) is difficult
and costly. Although deep neural networks (DNN) have been used in UATR, and some …
and costly. Although deep neural networks (DNN) have been used in UATR, and some …
Robust Feature Extraction Using Temporal Context Averaging for Speaker Identification in Diverse Acoustic Environments
Speaker identification in challenging acoustic environments, influenced by noise,
reverberation, and emotional fluctuations, requires improved feature extraction techniques …
reverberation, and emotional fluctuations, requires improved feature extraction techniques …
Wild Bird Species Identification Based on a Lightweight Model With Frequency Dynamic Convolution
YP Sun, Y Jiang, Z Wang, Y Zhang, LL Zhang - IEEE Access, 2023 - ieeexplore.ieee.org
The sound recognition technology is used to count bird speciespopulation to provide
accurate data for population ecology and conservation biology research. Bird species can …
accurate data for population ecology and conservation biology research. Bird species can …
[PDF][PDF] Speech Recognition Algorithm in a Noisy Environment Based on Power Normalized Cepstral Coefficient and Modified Weighted-KNN
One of the key techniques for controlling robotics, home appliances, security door, mobile
applications, cars, etc., is speech recognition. However, as every user is fully cognizant …
applications, cars, etc., is speech recognition. However, as every user is fully cognizant …