• Corpus ID: 226149204

Urban Sound Event Classification for Audio-Based Surveillance Systems

@inproceedings{Galileu2020UrbanSE,
  title={Urban Sound Event Classification for Audio-Based Surveillance Systems},
  author={Jo{\~a}o Pedro Duarte Galileu},
  year={2020}
}
............................................................................................................................................ iii Resumo ............................................................................................................................................. iv Agradecimentos .................................................................................................................................. v List of Figures… 

References

SHOWING 1-10 OF 70 REFERENCES

SONYC: A System for the Monitoring, Analysis and Mitigation of Urban Noise Pollution

The Sounds of New York City project, a smart cities initiative focused on developing a cyber-physical system for the monitoring, analysis and mitigation of urban noise pollution, provides a blueprint for the mitigation of noise pollution that can potentially be applied to other cities in the US and abroad.

Acoustic signal based traffic density state estimation using adaptive Neuro-Fuzzy classifier

  • P. BorkarL. Malik
  • Computer Science
    2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
  • 2013
This paper considers the problem of vehicular traffic density state estimation, based on the information present in cumulative acoustic signal acquired from a roadside-installed single microphone, using MFCC (Mel-Frequency Cepstral Coefficients) using the SCG algorithm.

Sound analysis in smart cities

This chapter introduces the concept of smart cities and discusses the importance of sound as a source of information about urban life. It describes a wide range of applications for the computational

A Dataset and Taxonomy for Urban Sound Research

A taxonomy of urban sounds and a new dataset, UrbanSound, containing 27 hours of audio with 18.5 hours of annotated sound event occurrences across 10 sound classes are presented.

Audio Surveillance: a Systematic Review

A general taxonomy, inspired by the more widespread video surveillance field, is proposed in order to systematically describe the methods covering background subtraction, event classification, object tracking and situation analysis, and a specific section is devoted to audio features.

Evaluation of Software and Hardware Settings for Audio-Based Analysis of Construction Operations

The results depict an accuracy over 85% for the proposed audio-based recognition system and a case study for calculating productivity rates of a sample piece of equipment is presented at the end.

Audio Set: An ontology and human-labeled dataset for audio events

The creation of Audio Set is described, a large-scale dataset of manually-annotated audio events that endeavors to bridge the gap in data availability between image and audio research and substantially stimulate the development of high-performance audio event recognizers.

Acoustic Features for Environmental Sound Analysis

The general processing chain to convert an sound signal to a feature vector that can be efficiently exploited by a classifier and the relation to features used for speech and music processing are described is this chapter.

Using Smartphones to Classify Urban Sounds

An application for Android able to classifying urban sounds in a real life context and the collection and classification of new sounds is developed by combining SAX-based multiresolution motif discovery with Mel-Frequency Cepstral Coefficients (MFCC).

Intelligent distributed surveillance systems: a review

This survey describes the current state-of-the-art in the development of automated visual surveillance systems so as to provide researchers in the field with a summary of progress achieved to date
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