Computational Bioacoustics

Biodiversity Monitoring and Assessment
1. Auflage 2017
ISBN: 978-1-61451-729-0
Verlag: De Gruyter

Buch, Englisch, 222 Seiten, Format (B × H): 160 mm x 236 mm, Gewicht: 513 g

Reihe: ISSN

This book offers an overview of some recent advances in the Computational Bioacoustics methods and technology. In the focus of discussion is the pursuit of scalability, which would facilitate real-world applications of different scope and purpose, such as wildlife monitoring, biodiversity assessment, pest population control, and monitoring the spread of disease transmitting mosquitoes. The various tasks of Computational Bioacoustics are described and a wide range of audio parameterization and recognition tasks related to the automated recognition of species and sound events is discussed. Many of the Computational Bioacoustics methods were originally developed for the needs of speech, audio, or image processing, and afterwards were adapted to the requirements of automated acoustic recognition of species, or were elaborated further to address the challenges of real-world operation in 24/7 mode. The interested reader is encouraged to follow the numerous references and links to web resources for further information and insights. This book is addressed to Software Engineers, IT experts, Computer Science researchers, Bioacousticians, and other practitioners concerned with the creation of new tools and services, aimed at enhancing the technological support to Computational Bioacoustics applications.

Autoren/Hrsg.

Ganchev, Todor

Fachgebiete

• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Akustik, Tontechnik

Inhaltsverzeichnis

1. Introduction 2. Why Computational Bioacoustics? 3. Getting to know the problems of automated species recognition 4. Preparation of data 5. Sound production mechanisms 6. Parameterization of bioacoustic signals 7. Machine learning methods 8. Application examples 9. Useful resources 10. Conclusion and outlook

Über Autor(innen)

Todor Ganchev, Technical University,Varna, Bulgaria