(Q93322048)

English

Evaluation of acoustic pattern recognition of nightingale (Luscinia megarhynchos) recordings by citizens

scholarly article by Marcel Stehle et al published 24 February 2020 in Research Ideas and Outcomes

In more languages

edit

Statements

instance of

scholarly article

0 references

title

Evaluation of acoustic pattern recognition of nightingale (Luscinia megarhynchos) recordings by citizens (English)

0 references

1 reference

Luscinia megarhynchos

1 reference

4

Ulrike Sturm

0 references

author name string

Marcel Stehle

series ordinal

1

0 references

Mario Lasseck

series ordinal

2

0 references

Omid Khorramshahi

series ordinal

3

0 references

publication date

24 February 2020

0 references

published in

Research Ideas and Outcomes

0 references

volume

6

0 references

copyright license

Creative Commons Attribution 4.0 International

start time

24 February 2020

1 reference

stated in

April 2022 Public Data File from Crossref

copyright status

copyrighted

0 references

cites work

Information obtained from long-term acoustic recordings: applying bioacoustic techniques for monitoring wetland birds during breeding season

1 reference

20 May 2022

https://opencitations.net/index/coci/api/v1/references/10.3897/RIO.6.E50233

Extremely randomized trees

1 reference

20 May 2022

https://opencitations.net/index/coci/api/v1/references/10.3897/RIO.6.E50233

Mechanisms for Data Quality and Validation in Citizen Science

1 reference

20 May 2022

https://opencitations.net/index/coci/api/v1/references/10.3897/RIO.6.E50233

Automatic classification of a taxon-rich community recorded in the wild

1 reference

20 May 2022

https://opencitations.net/index/coci/api/v1/references/10.3897/RIO.6.E50233

Long-term persistence of song performance rules in nightingales (Luscinia megarhynchos): a longitudinal field study on repertoire size and composition

1 reference

20 May 2022

https://opencitations.net/index/coci/api/v1/references/10.3897/RIO.6.E50233

Real-time bioacoustics monitoring and automated species identification

1 reference

20 May 2022

https://opencitations.net/index/coci/api/v1/references/10.3897/RIO.6.E50233

Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning

1 reference

20 May 2022

https://opencitations.net/index/coci/api/v1/references/10.3897/RIO.6.E50233

Detecting bird sounds in a complex acoustic environment and application to bioacoustic monitoring

1 reference

20 May 2022

https://opencitations.net/index/coci/api/v1/references/10.3897/RIO.6.E50233

The role of digital user feedback in a user-centred development process in citizen science

1 reference

20 May 2022

https://opencitations.net/index/coci/api/v1/references/10.3897/RIO.6.E50233

Acoustic classification of multiple simultaneous bird species: a multi-instance multi-label approach.

1 reference

20 May 2022

https://opencitations.net/index/coci/api/v1/references/10.3897/RIO.6.E50233

Automated Sound Recognition Provides Insights into the Behavioral Ecology of a Tropical Bird.

1 reference

20 May 2022

https://opencitations.net/index/coci/api/v1/references/10.3897/RIO.6.E50233

Identifiers

DOI

10.3897/RIO.6.E50233

0 references

(Q93322048)

Evaluation of acoustic pattern recognition of nightingale (Luscinia megarhynchos) recordings by citizens

Statements

Identifiers

Sitelinks

Wikipedia(0 entries)

Wikibooks(0 entries)

Wikinews(0 entries)

Wikiquote(0 entries)

Wikisource(0 entries)

Wikiversity(0 entries)

Wikivoyage(0 entries)

Wiktionary(0 entries)

Multilingual sites(0 entries)