Bio Acoustic Signal Identification Based On Sparse Representation Classifier Frog Species Voice Identification
Most insects and animal produce sounds as a way of communication within their species or as noises resulting from feeding or travelling. Automated recognition of bio-acoustic signals is becoming vital in the aspect of biological research or environmental monitoring. With the improvement of technol...
Saved in:
Main Author: | Wan, Zhi Xuan |
---|---|
Format: | Monograph |
Language: | English |
Published: |
Universiti Sains Malaysia
2018
|
Subjects: | |
Online Access: | http://eprints.usm.my/53308/1/Bio%20Acoustic%20Signal%20Identification%20Based%20On%20Sparse%20Representation%20Classifier%20Frog%20Species%20Voice%20Identification_Wan%20Zhi%20Xuan_E3_2018.pdf http://eprints.usm.my/53308/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Automatic identification of epileptic seizures from EEG signals using sparse representation-based classification
by: Sobhan Sheykhivand, et al.
Published: (2020) -
Fuzzy voice classifier and fuzzy voice pathology identification system
by: Sathees Kumar, Nataraj, et al.
Published: (2012) -
Robust Object Tracking System via Sparse Representation: A Review
by: Syafawati, Md Yusof, et al.
Published: (2014) -
Identification of acoustic signals of surface discharges on glass insulator under different contamination levels
by: Ahmed Algeelani, Nasir, et al.
Published: (2011) -
Identification and extraction of surface discharge acoustic emission signals using wavelet neural network
by: Al-geelani, Nasir Ahmed, et al.
Published: (2012)