"Environmental Sound Recognition Using Double-Level Energy Detection"
written by Xiaoxia Zhang, Ying Li,
published by Journal of Signal and Information Processing, Vol.4 No.3B, 2013
has been cited by the following article(s):
  • Google Scholar
  • CrossRef
[1] Robust Polyphonic Sound Event Detection by Using Multi Frame Size Denoising Autoencoder
2018
[2] Design and Implementation of a Robust Acoustic Recognition System for Waterbird Species using TMS320C6713 DSK
International Journal of Ambient Computing and Intelligence (IJACI), 2017
[3] Bioacústica Física: La parametrización de las ecuaciones para simular el canto de los pájaros.
2017
[4] A REAL-TIME ENVIRONMENTAL SOUND RECOGNITION SYSTEM FOR THE ANDROID OS
Detection and Classification of Acoustic Scenes and Events , 2016
[5] An Approach to Detect Dolphin Whistle from Underwater Sounds
INTERNATIONAL JOURNAL FOR TRENDS IN ENGINEERING & TECHNOLOGY, 2016
[6] Robust sound event classification by using denoising autoencoder
2016
[7] An overview of applications and advancements in automatic sound recognition
Neurocomputing, 2016
[8] Audio surveillance in unstructured environments
2015
[9] Contribution à l'étude et à la mise en œuvre d'un système de perception bio-inspiré basé sur l'attention visuelle et auditive
Thèse, 2015
[10] Noise robust audio surveillance using reduced spectrogram image feature and one-against-all SVM
Neurocomputing, 2015
[11] Bird acoustic activity detection based on morphological filtering of the spectrogram
Applied Acoustics, 2015
[12] Audio parameterization with robust frame selection for improved bird identification
Expert Systems with Applications, 2015
[13] Contribution to study and implementation of a bio-inspired perception system based on visual and auditory attention
Thesis, 2015
[14] DOCTEUR DE L'UNIVERSITÉ PARIS-EST DOCTOR OF ENGINEERING
Thesis, 2015
[15] 利用貝氏方法透過聲音指紋辨識場所
交通大學統計學研究所學位論文, 2014
[16] Audio surveillance under noisy conditions using time-frequency image feature
Digital Signal Processing (DSP), 2014 19th International Conference on. IEEE, 2014