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Erschienen in:
MSCANet: Adaptive Multi-scale Context Aggregation Network for Congested Crowd Counting Kapitel lesen Erstes Kapitel lesen

2021 | OriginalPaper | Buchkapitel

CatMeows: A Publicly-Available Dataset of Cat Vocalizations

verfasst von : Luca A. Ludovico, Stavros Ntalampiras, Giorgio Presti, Simona Cannas, Monica Battini, Silvana Mattiello

Erschienen in: MultiMedia Modeling

Verlag: Springer International Publishing

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Abstract

This work presents a dataset of cat vocalizations focusing on the meows emitted in three different contexts: brushing, isolation in an unfamiliar environment, and waiting for food. The dataset contains vocalizations produced by 21 cats belonging to two breeds, namely Maine Coon and European Shorthair. Sounds have been recorded using low-cost devices easily available on the marketplace, and the data acquired are representative of real-world cases both in terms of audio quality and acoustic conditions. The dataset is open-access, released under Creative Commons Attribution 4.0 International licence, and it can be retrieved from the Zenodo web repository.

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Vorheriges Kapitel Kvasir-Instrument: Diagnostic and Therapeutic Tool Segmentation Dataset in Gastrointestinal Endoscopy
Nächstes Kapitel Search and Explore Strategies for Interactive Analysis of Real-Life Image Collections with Unknown and Unique Categories
Fußnoten
2
The A-law algorithm is a standard used in European 8-bit PCM digital communications systems to optimize the dynamic range of an analog signal for digitizing.
 
3
LPCM stands for Linear Pulse-Code Modulation, a standard method to digitally represent sampled analog signals. In a LPCM stream, the amplitude of the analog signal is sampled regularly at uniform intervals, and each sample is quantized to the nearest value within a range of digital linearly spaced steps.
 
4
Please note that different envelope functions and frame sizes may have different optimal thresholds.
 
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Metadaten
Titel
CatMeows: A Publicly-Available Dataset of Cat Vocalizations
verfasst von
Luca A. Ludovico
Stavros Ntalampiras
Giorgio Presti
Simona Cannas
Monica Battini
Silvana Mattiello
Copyright-Jahr
2021
Buch
MultiMedia Modeling

Print ISBN: 978-3-030-67834-0

Electronic ISBN: 978-3-030-67835-7

Copyright-Jahr: 2021

DOI
https://doi.org/10.1007/978-3-030-67835-7_20

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