AIMC Topic: Vocalization, Animal

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Classification of producer characteristics in primate long calls using neural networks.

The Journal of the Acoustical Society of America Jul 1, 2018
Primate long calls are high-amplitude vocalizations that can be critical in maintaining intragroup contact and intergroup spacing, and can encode abundant information about a call's producer, such as age, sex, and individual identity. Long calls of t...
Humans Neural Networks, Computer Female Animals Sound Saguinus Behavior, Animal Nerve Net Vocalization, Animal
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Automatic fish sounds classification.

The Journal of the Acoustical Society of America May 1, 2018
The work presented in this paper focuses on the use of acoustic systems for passive acoustic monitoring of ocean vitality for fish populations. Specifically, it focuses on the use of acoustic systems for passive acoustic monitoring of ocean vitality ...
Machine Learning Animals Acoustics Sound Fishes Vocalization, Animal
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Tensorial dynamic time warping with articulation index representation for efficient audio-template learning.

The Journal of the Acoustical Society of America Mar 1, 2018
Audio classification techniques often depend on the availability of a large labeled training dataset for successful performance. However, in many application domains of audio classification (e.g., wildlife monitoring), obtaining labeled data is still...
Machine Learning Algorithms Animals Animals, Wild Sound Spectrography Vocalization, Animal Time
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Active learning for bird sound classification via a kernel-based extreme learning machine.

The Journal of the Acoustical Society of America Oct 1, 2017
In recent years, research fields, including ecology, bioacoustics, signal processing, and machine learning, have made bird sound recognition a part of their focus. This has led to significant advancements within the field of ornithology, such as impr...
Databases, Factual Animals Birds Support Vector Machine Signal Processing, Computer-Assisted Supervised Machine Learning Acoustics Pattern Recognition, Automated Vocalization, Animal
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Detection of ground parrot vocalisation: A multiple instance learning approach.

The Journal of the Acoustical Society of America Sep 1, 2017
Ground parrot vocalisation can be considered as an audio event. Test-based diverse density multiple instance learning (TB-DD-MIL) is proposed for detecting this event in audio files recorded in the field. The proposed method is motivated by the advan...
Machine Learning Algorithms Animals Australia Sound Spectrography Datasets as Topic Pattern Recognition, Automated Behavior, Animal Vocalization, Animal Parrots
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