Fundamentals of speech recognition
Fundamentals of speech recognition
Neural recognition systems for swine cough
Mathematics and Computers in Simulation - IMACS sponsored special issue: 3rd international symposium on mathematical modelling and simulation in argicultural and bio-industries (M2SABI'99)
Discrete Time Processing of Speech Signals
Discrete Time Processing of Speech Signals
Energy separation in signal modulations with application to speechanalysis
IEEE Transactions on Signal Processing
A novel method to automatically measure the feed intake of broiler chickens by sound technology
Computers and Electronics in Agriculture
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Coughing is one of the most frequent presenting symptoms of many diseases affecting the airways and the lungs of both humans and animals. In piggeries, the continuous on-line monitoring of cough sound can be used to build an intelligent alarm system for the early detection of diseases. In a first study, with experiments under laboratory conditions, algorithms have been developed to detect cough sounds and to classify the animals whether they were ill or not. In this study, the algorithm was tested in field conditions. Pig cough sounds were registered on 44 pigs, LandracexLarge WhitexDuroc crosses, 150 days old, with a mean weight of 60kg. The sounds were recorded by an operator holding a microphone at approximately 20-50cm from the pig's head. From these sound files, feature vectors were extracted using a filter bank approach combined with an amplitude demodulation. These feature vectors were compared to a reference set by means of a dynamic time warping algorithm. This approach leads to a two-class classification: cough sounds and other sounds. The classification resulted in correct classification of 85.5% for the cough sounds and 86.6% correct classification of the other sounds.