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008 230228t20172017gw fo d z eng d
020 _a9781614516316
024 7 _a10.1515/9781614516316
_2doi
035 _a(DE-B1597)253058
035 _a(OCoLC)992454078
040 _aDE-B1597
_beng
_cDE-B1597
_erda
041 0 _aeng
044 _agw
_cDE
050 4 _aQH541.15.B56
_bG 2017
072 7 _aTEC001000
_2bisacsh
082 0 4 _a333.95
_223
100 1 _aGanchev, Todor,
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_976083
245 1 0 _aComputational Bioacoustics :
_bBiodiversity Monitoring and Assessment /
_cTodor Ganchev.
264 1 _aBerlin ;
_aBoston :
_bDe Gruyter,
_c[2017]
264 4 _c©2017
300 _a1 online resource (XIII, 222 p.)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 0 _aSpeech Technology and Text Mining in Medicine and Health Care ,
_x2329-5198 ;
_v4
505 0 0 _tFrontmatter --
_tAbstract --
_tPreface --
_tContents --
_tAcronyms --
_t1. Introduction --
_t2. Why computational bioacoustics? --
_t3. Definition of tasks --
_t4. Acoustic libraries --
_t5. One-dimensional audio parameterization --
_t6. Two-dimensional audio parameterization --
_t7. Audio recognizers --
_t8. Application examples --
_t9. Useful resources --
_tEpilogue --
_tReferences --
_tIndex
506 0 _arestricted access
_uhttp://purl.org/coar/access_right/c_16ec
_fonline access with authorization
_2star
520 _aThis 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.
520 _aThis 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. STTM, Speech Technology and Text Mining in Medicine and Health Care This series demonstrates how the latest advances in speech technology and text mining positively affect patient healthcare and, in a much broader sense, public health at large. New developments in text mining methods have allowed health care providers to monitor a large population of patients at any time and from any location. Employing advanced summarization techniques, patient data can be readily extracted from extensive clinical documents in electronic health records and immediately made available to the physician. These same summarization techniques can also aid the healthcare provider in extracting from the large corpora of medical literature the relevant information for treating the patient. The series topics include the design and acceptance of speech-enabled robots that assist in the operating room, studies of signal processing and acoustic modeling for speech and communication disorders, advanced statistical speech enhancement methods for creating synthetic voice, and technologies for addressing speech and language impairments. Titles in the Series consist of both authored books and edited contributions. All authored books and contributed works are peer-reviewed. The Series is for speech scientists and speech engineers, machine learning experts, biomedical engineers, medical speech pathologists, linguists, and healthcare professionals
530 _aIssued also in print.
538 _aMode of access: Internet via World Wide Web.
546 _aIn English.
588 0 _aDescription based on online resource; title from PDF title page (publisher's Web site, viewed 28. Feb 2023)
650 0 _aAnimal communication.
_976084
650 0 _aBiodiversity
_xMonitoring.
_976085
650 0 _aBiodiversity.
_912022
650 0 _aEnvironmental monitoring.
_913183
650 0 _aPattern recognition systems.
_93953
650 0 _aSound.
_913391
650 4 _aelecktrotechnik.
_976086
650 4 _aspeech technology.
_976087
650 4 _asprachverarbeitung.
_976088
650 7 _aTechnology & Engineering / Acoustics & Sound.
_2bisacsh
_976089
653 _aSpeech Processing.
653 _asignal processing.
773 0 8 _iTitle is part of eBook package:
_dDe Gruyter
_tDG Plus DeG Package 2017 Part 1
_z9783110762495
773 0 8 _iTitle is part of eBook package:
_dDe Gruyter
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773 0 8 _iTitle is part of eBook package:
_dDe Gruyter
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_z9783110625264
773 0 8 _iTitle is part of eBook package:
_dDe Gruyter
_tEBOOK PACKAGE Engineering, Computer Sciences 2017
_z9783110547757
_oZDB-23-DEI
776 0 _cEPUB
_z9781614519669
776 0 _cprint
_z9781614517290
856 4 0 _uhttps://doi.org/10.1515/9781614516316
856 4 0 _uhttps://www.degruyter.com/isbn/9781614516316
856 4 2 _3Cover
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