Book ChapterDOI
Tailored MFCCs for Sound Environment Classification in Hearing Aids
Roberto Gil-Pita,Beatriz López-Garrido,Manuel Rosa-Zurera +2 more
- pp 1037-1048
TLDR
The suppression of the Discrete Cosine Transform from the feature extraction process is suitable, and the use of the most significative bit instead of the logarithm also supposes a considerable reduction in the computational load while obtaining comparable results in terms of error rate.Abstract:
Hearing aids have to work at low clock rates in order to minimize the power consumption and maximize battery life. The implementation of signal processing techniques on hearing aids is strongly constrained by the small number of instructions per second to implement the algorithms in the digital signal processor the hearing aid is based on. In this respect, the objective of this paper is the proposal of a set of approximations in order to optimize the implementation of standard Mel Frequency Cepstral Coefficient based sound environment classifiers in real hearing aids. After a theoretical analysis of these coefficients and a set of experiments under different classification schemes, we demonstrate that the suppression of the Discrete Cosine Transform from the feature extraction process is suitable, since its use does not suppose an improvement in terms of error rate, and it supposes a high computational load. Furthermore, the use of the most significative bit instead of the logarithm also supposes a considerable reduction in the computational load while obtaining comparable results in terms of error rate.read more
Citations
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Pattern Recognition and Machine Learning
TL;DR: Probability distributions of linear models for regression and classification are given in this article, along with a discussion of combining models and combining models in the context of machine learning and classification.
Journal ArticleDOI
Mechanomyography-based muscle fatigue detection during electrically elicited cycling in patients with spinal cord injury
TL;DR: Inter-subject prediction accuracy suggested training and testing data to be based on a particular subject or large collection of subjects to improve fatigue prediction capacity.
Journal ArticleDOI
Energy-Efficient Acoustic Violence Detector for Smart Cities
Marta Bautista-Durán,Joaquín García-Gómez,Roberto Gil-Pita,Inma Mohino-Herranz,Manuel Rosa-Zurera +4 more
TL;DR: Results demonstrate the viability of the system, thanks to the low cost that some violence features require, making feasible the implementation of the proposed method in a nowadays low power microprocessor.
Book ChapterDOI
Violence Detection in Real Environments for Smart Cities
Joaquín García-Gómez,Marta Bautista-Durán,Roberto Gil-Pita,Inma Mohino-Herranz,Manuel Rosa-Zurera +4 more
TL;DR: Results derived from the experiments show that MFCCs are the best features for violence detection, and others like pitch or short time energy have also a good performance, in other words, features that can distinguish between voiced and unvoiced frames seem to be a good election for violence Detection in real environments.
Proceedings ArticleDOI
Cost-constrained Drone Presence Detection through Smart Sound Processing.
Joaquín García-Gómez,Marta Bautista-Durán,Roberto Gil-Pita,Inma Mohino-Herranz,Miguel Aguilar-Ortega,César Clares-Crespo +5 more
TL;DR: An algorithm based on Smart Sound Processing techniques has been developed and results show that it is possible to detect the presence of drones with low cost feature subsets, where MFCCs and pitch are the most relevant.
References
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Book
Pattern Recognition and Machine Learning
TL;DR: Probability Distributions, linear models for Regression, Linear Models for Classification, Neural Networks, Graphical Models, Mixture Models and EM, Sampling Methods, Continuous Latent Variables, Sequential Data are studied.
Pattern Recognition and Machine Learning
TL;DR: Probability distributions of linear models for regression and classification are given in this article, along with a discussion of combining models and combining models in the context of machine learning and classification.
Proceedings ArticleDOI
Construction and evaluation of a robust multifeature speech/music discriminator
Eric D. Scheirer,Malcolm Slaney +1 more
TL;DR: A real-time computer system capable of distinguishing speech signals from music signals over a wide range of digital audio input is constructed and extensive data on system performance and the cross-validated training/test setup used to evaluate the system is provided.
Journal ArticleDOI
High-order neural network structures for identification of dynamical systems
TL;DR: This paper studies the approximation and learning properties of one class of recurrent networks, known as high-order neural networks; and applies these architectures to the identification of dynamical systems.