4.7 Article

Fusion of acoustic and deep features for pig cough sound recognition

Related references

Note: Only part of the references are listed.
Article Engineering, Electrical & Electronic

Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework

Lam Pham et al.

Summary: This study introduces a novel encoder-decoder network model for Acoustic Scene Classification, which achieves competitive results on multiple datasets through effective high-level feature extraction and well-designed decoders.

DIGITAL SIGNAL PROCESSING (2021)

Article Acoustics

Ensemble of handcrafted and deep features for urban sound classification

Jederson S. Luz et al.

Summary: This paper proposes a representation method for urban sound classification based on the combination of deep and handcrafted features, which outperforms most state-of-the-art CNN models in terms of classification accuracy.

APPLIED ACOUSTICS (2021)

Review Agriculture, Dairy & Animal Science

Welfare Health and Productivity in Commercial Pig Herds

Przemyslaw Racewicz et al.

Summary: The development and implementation of innovative technologies on farms are dynamically influencing precision livestock farming. Pig producers are increasingly investing in rationalisation systems that raise the technological standards of pig breeding, leading to improvements in production profitability and food safety. Modern systems in livestock management, based on non-invasive monitoring devices and information technology, support farmers in daily farm operations and animal welfare. Through the use of sensors and algorithms, these technologies enable early disease detection, improve animal welfare, and increase breeding productivity. Automated early warning systems provide an alternative to direct diagnosis by veterinarians or herd keepers.

ANIMALS (2021)

Article Engineering, Electrical & Electronic

Sound Event Detection: A tutorial

Annamaria Mesaros et al.

Summary: Humans have a natural ability to recognize and interpret the soundscape of a city street, but this also comes from years of training and learning associations among various sounds in everyday life.

IEEE SIGNAL PROCESSING MAGAZINE (2021)

Article Computer Science, Information Systems

Environmental Sound Classification Using Local Binary Pattern and Audio Features Collaboration

Ohini Kafui Toffa et al.

Summary: This paper introduces a new approach for environmental sound classification using LBP texture features and audio features collaboration, outperforming classical methods. The mixed model of LBP features with audio descriptors achieved state-of-the-art results, surpassing traditional methods and some convolutional neural network-based approaches.

IEEE TRANSACTIONS ON MULTIMEDIA (2021)

Article Zoology

Pre-processing spectrogram parameters improve the accuracy of bioacoustic classification using convolutional neural networks

Elly C. Knight et al.

BIOACOUSTICS-THE INTERNATIONAL JOURNAL OF ANIMAL SOUND AND ITS RECORDING (2020)

Article Computer Science, Artificial Intelligence

Impact of fully connected layers on performance of convolutional neural networks for image classification

S. H. Shabbeer Basha et al.

NEUROCOMPUTING (2020)

Article Acoustics

Trends in audio signal feature extraction methods

Garima Sharma et al.

APPLIED ACOUSTICS (2020)

Article Chemistry, Multidisciplinary

Field-Applicable Pig Anomaly Detection System Using Vocalization for Embedded Board Implementations

Minki Hong et al.

APPLIED SCIENCES-BASEL (2020)

Article Computer Science, Information Systems

A Novel Approach for Classification of Speech Emotions Based on Deep and Acoustic Features

Mehmet Bilal Er

IEEE ACCESS (2020)

Review Chemistry, Analytical

The role of sensors, big data and machine learning in modern animal farming

Suresh Neethirajan

SENSING AND BIO-SENSING RESEARCH (2020)

Article Computer Science, Theory & Methods

Fusing MFCC and LPC Features Using 1D Triplet CNN for Speaker Recognition in Severely Degraded Audio Signals

Anurag Chowdhury et al.

IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY (2020)

Article Engineering, Electrical & Electronic

Comparison and Analysis of SampleCNN Architectures for Audio Classification

Taejun Kim et al.

IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING (2019)

Review Agriculture, Dairy & Animal Science

Precision Livestock Farming in Swine Welfare: A Review for Swine Practitioners

Madonna Benjamin et al.

ANIMALS (2019)

Article Agriculture, Multidisciplinary

Livestock vocalisation classification in farm soundscapes

James C. Bishop et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)

Article Computer Science, Artificial Intelligence

Investigation of acoustic and visual features for acoustic scene classification

Jie Xie et al.

EXPERT SYSTEMS WITH APPLICATIONS (2019)

Article Acoustics

Auditory enhancement and spectral contrast effects in speech perception

Christian E. Stilp

JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA (2019)

Article Ecology

Machine learning to classify animal species in camera trap images: Applications in ecology

Michael A. Tabak et al.

METHODS IN ECOLOGY AND EVOLUTION (2019)

Proceedings Paper Computer Science, Artificial Intelligence

Snore Sound Classification Using Image-based Deep Spectrum Features

Shahin Amiriparian et al.

18TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2017), VOLS 1-6: SITUATED INTERACTION (2017)

Article Mathematical & Computational Biology

An Efficient Adaptive Window Size Selection Method for Improving Spectrogram Visualization

Shibli Nisar et al.

COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2016)

Review Engineering, Industrial

Variable importance analysis: A comprehensive review

Pengfei Wei et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2015)

Article Computer Science, Information Systems

A Survey of Audio-Based Music Classification and Annotation

Zhouyu Fu et al.

IEEE TRANSACTIONS ON MULTIMEDIA (2011)

Article Agriculture, Multidisciplinary

Cough sound analysis to identify respiratory infection in pigs

Sara Ferrari et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2008)

Article Agriculture, Multidisciplinary

Real-time recognition of sick pig cough sounds

V. Exadaktylos et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2008)

Article Agriculture, Multidisciplinary

Field test of algorithm for automatic cough detection in pig houses

M. Guarino et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2008)