Gammatone cepstral coefficients: Biologically inspired features for non-speech audio classification

X Valero, F Alias - IEEE transactions on multimedia, 2012 - ieeexplore.ieee.org
In the context of non-speech audio recognition and classification for multimedia applications,
it becomes essential to have a set of features able to accurately represent and discriminate …

A light-weight replay detection framework for voice controlled IoT devices

KM Malik, A Javed, H Malik… - IEEE Journal of Selected …, 2020 - ieeexplore.ieee.org
The growing number of voice-controlled devices (VCDs), ie Google Home, Amazon Alexa,
etc., has resulted in automation of home appliances, smart gadgets, and next generation …

Audio watermark

Y Lin, WH Abdulla - Audio Watermark A Comprehensive Foundation …, 2015 - Springer
Audio watermarking is a technique providing a promising solution to copyrights protection
for digital audio and multimedia products. Using this technique, hidden information called …

On managing very large sensor-network data using bigtable

B Yu, A Cuzzocrea, D Jeong… - 2012 12th IEEE/ACM …, 2012 - ieeexplore.ieee.org
Recent advances and innovations in smart sensor technologies, energy storage, data
communications, and distributed computing paradigms are enabling technological …

A comparative study of noise reduction techniques for automatic speech recognition systems

K Garg, G Jain - 2016 International Conference on Advances in …, 2016 - ieeexplore.ieee.org
Automatic Speech Recognition systems are greatly influenced by noise. Noise generated in
environment or channel tends to degrade the performance of speech recognition systems …

Automatic singer identification based on auditory features

W Cai, Q Li, X Guan - 2011 seventh international conference …, 2011 - ieeexplore.ieee.org
The paper describes a method of identifying singers' voice from the monophonic music
including sounds of various musical instruments based on auditory features. In this system …

Robust feature extraction based on an asymmetric level-dependent auditory filterbank and a subband spectrum enhancement technique

MJ Alam, P Kenny, D O'Shaughnessy - Digital Signal Processing, 2014 - Elsevier
In this paper we introduce a robust feature extractor, dubbed as robust compressive
gammachirp filterbank cepstral coefficients (RCGCC), based on an asymmetric and level …

[PDF][PDF] Implementation of an underwater target classifier using higher order spectral features

K Mohankumar, PRS Pillai - 2015 - conference.cusat.ac.in
This chapter provides an introduction to the area of research and starts with an overview of
the sonars which are the primary means for acquiring the target signals. Sonars play a key …

Quantifying asymmetry between medial and lateral compartment knee loading forces using acoustic emissions

HK Jeong, S An, K Herrin, K Scherpereel… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Objective: Osteoarthritis is the most common type of knee arthritis that can be affected by
excessive and compressive loads and can affect one or more compartments of the knee …

Auditory-based wavelet packet filterbank for speech recognition using neural network

R Gandhiraj, PS Sathidevi - 15th International Conference on …, 2007 - ieeexplore.ieee.org
A major problem of most speech recognition systems is their unsatisfactory robustness in
noise. Human inner ear basedfeature extraction'leads to very robust speech understanding …