Related references
Note: Only part of the references are listed.Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework
Lam Pham et al.
DIGITAL SIGNAL PROCESSING (2021)
Ensemble of handcrafted and deep features for urban sound classification
Jederson S. Luz et al.
APPLIED ACOUSTICS (2021)
Welfare Health and Productivity in Commercial Pig Herds
Przemyslaw Racewicz et al.
ANIMALS (2021)
Sound Event Detection: A tutorial
Annamaria Mesaros et al.
IEEE SIGNAL PROCESSING MAGAZINE (2021)
Environmental Sound Classification Using Local Binary Pattern and Audio Features Collaboration
Ohini Kafui Toffa et al.
IEEE TRANSACTIONS ON MULTIMEDIA (2021)
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)
Impact of fully connected layers on performance of convolutional neural networks for image classification
S. H. Shabbeer Basha et al.
NEUROCOMPUTING (2020)
Trends in audio signal feature extraction methods
Garima Sharma et al.
APPLIED ACOUSTICS (2020)
Recursive Feature Elimination and Random Forest Classification of Natura 2000 Grasslands in Lowland River Valleys of Poland Based on Airborne Hyperspectral and LiDAR Data Fusion
Luca Demarchi et al.
REMOTE SENSING (2020)
Field-Applicable Pig Anomaly Detection System Using Vocalization for Embedded Board Implementations
Minki Hong et al.
APPLIED SCIENCES-BASEL (2020)
A Novel Approach for Classification of Speech Emotions Based on Deep and Acoustic Features
Mehmet Bilal Er
IEEE ACCESS (2020)
The role of sensors, big data and machine learning in modern animal farming
Suresh Neethirajan
SENSING AND BIO-SENSING RESEARCH (2020)
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)
Comparison and Analysis of SampleCNN Architectures for Audio Classification
Taejun Kim et al.
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING (2019)
Precision Livestock Farming in Swine Welfare: A Review for Swine Practitioners
Madonna Benjamin et al.
ANIMALS (2019)
Livestock vocalisation classification in farm soundscapes
James C. Bishop et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)
Investigation of acoustic and visual features for acoustic scene classification
Jie Xie et al.
EXPERT SYSTEMS WITH APPLICATIONS (2019)
Auditory enhancement and spectral contrast effects in speech perception
Christian E. Stilp
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA (2019)
Machine learning to classify animal species in camera trap images: Applications in ecology
Michael A. Tabak et al.
METHODS IN ECOLOGY AND EVOLUTION (2019)
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)
An Efficient Adaptive Window Size Selection Method for Improving Spectrogram Visualization
Shibli Nisar et al.
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2016)
Variable importance analysis: A comprehensive review
Pengfei Wei et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2015)
Combined application of Power Spectrum Centroid and Support Vector Machines for measurement improvement in Optical Scanning Systems
Wendy Flores-Fuentes et al.
SIGNAL PROCESSING (2014)
Automatic Detection and Recognition of Pig Wasting Diseases Using Sound Data in Audio Surveillance Systems
Yongwha Chung et al.
SENSORS (2013)
Bandwidth scaling and spectral flatness enhancement of optical frequency combs from phase-modulated continuous-wave lasers using cascaded four-wave mixing
V. R. Supradeepa et al.
OPTICS LETTERS (2012)
A Survey of Audio-Based Music Classification and Annotation
Zhouyu Fu et al.
IEEE TRANSACTIONS ON MULTIMEDIA (2011)
Cough sound analysis to identify respiratory infection in pigs
Sara Ferrari et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2008)
Real-time recognition of sick pig cough sounds
V. Exadaktylos et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2008)
Field test of algorithm for automatic cough detection in pig houses
M. Guarino et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2008)