Computational bioacoustics : biodiversity monitoring and assessment / Todor Dimitrov Ganchev.
Material type:
TextSeries: Speech technology and text mining in medicine and healthcare ; v. 4.Publisher: Boston : Walter de Gruyter Inc., [2017]Copyright date: ©2017Description: 1 online resource (xii, 222 pages)Content type: - text
- computer
- online resource
- 9781614516316
- 1614516316
- 9781614519669
- 1614519668
- Biodiversity -- Monitoring
- Environmental monitoring
- Animal communication
- Sound
- Biodiversity
- Pattern recognition systems
- Ecological Parameter Monitoring -- methods
- Animal Communication
- Acoustics
- Biodiversity
- Signal Processing, Computer-Assisted
- Pattern Recognition, Automated
- Speech Recognition Software
- Environmental Monitoring
- Biodiversité -- Surveillance
- Environnement -- Surveillance
- Communication animale
- Acoustique
- Biodiversité
- Reconnaissance des formes (Informatique)
- acoustics
- BUSINESS & ECONOMICS -- Real Estate -- General
- Sound
- Pattern recognition systems
- Biodiversity
- Animal communication
- Biodiversity -- Monitoring
- Environmental monitoring
- 333.95 23
- QH541.15.B56 G36 2017
- QH 541.15.E265
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
eBook
|
e-Library | EBSCO Technology | Available |
Print version record.
Includes bibliographical references and index.
Latest advances in signal processing and machine learning methods for speech and audio processing. Coverage of various methods and techniques for measuring and calibrating auditory communication. Includes technology, methods and good practices in computational bioacoustics. The book covers the fundamentals and applications of computational bioacoustics in monitoring and control applications. The work provides a thorough discussion of cross-disciplinary research, including new engineering technology with a discussion of codes and demos illustrating the application of various audio parameterization and machine learning techniques on the task of automated recognition and monitoring. The concepts can be used in monitoring of healthcare patients, but can also be used in broader biodiversity monitoring and assessment. --Provided by publisher.
Frontmatter -- Abstract -- Preface -- Contents -- Acronyms -- 1. Introduction -- 2. Why computational bioacoustics? -- 3. Definition of tasks -- 4. Acoustic libraries -- 5. One-dimensional audio parameterization -- 6. Two-dimensional audio parameterization -- 7. Audio recognizers -- 8. Application examples -- 9. Useful resources -- Epilogue -- References -- Index.
Added to collection customer.56279.3