Matches in SemOpenAlex for { <https://semopenalex.org/work/W2774728799> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W2774728799 endingPage "5022" @default.
- W2774728799 startingPage "5010" @default.
- W2774728799 abstract "Automatic recording and analysis of bird calls is becoming an important way to understand changes in bird populations and assess environmental health. An issue currently proving problematic with the automatic analysis of bird recordings is interference from noise that can mask vocalizations of interest. As such, noise reduction can greatly increase the accuracy of automatic analyses and reduce processing work for subsequent steps in bioacoustics analyses. However, only limited work has been done in the context of bird recordings. Most semiautomatic methods either manually apply sound enhancement methods available in audio processing systems such as SoX and Audacity or apply preliminary filters such as lowand highpass filters. These methods are insufficient both in terms of how generically they can be applied and their integration with automatic systems that need to process large amounts of data. Some other work applied more sophisticated denoising methods or combinations of different methods such as minimum mean square error short-time spectral amplitude estimator (MMSE STSA) and spectral subtraction for other species such as anurans. However, their effectiveness is not tested on bird recordings. In this paper, we analyze the applicability of the MMSE STSA algorithm to remove noise from environmental recordings containing bird sounds, particularly focusing on its quality and processing time. The experimental evaluation using real data clearly shows that MMSE STSA can reduce noise with similar effectiveness [using objective metrics such as predicted signal quality (SIG)] to a previously recommended wavelet-transform-based denoising technique while executing between approximately 5-300 times faster depending on the audio files tested." @default.
- W2774728799 created "2017-12-22" @default.
- W2774728799 creator A5013136179 @default.
- W2774728799 creator A5024921295 @default.
- W2774728799 creator A5059024261 @default.
- W2774728799 date "2018-01-01" @default.
- W2774728799 modified "2023-09-26" @default.
- W2774728799 title "Automatic and Efficient Denoising of Bioacoustics Recordings Using MMSE STSA" @default.
- W2774728799 cites W1552314771 @default.
- W2774728799 cites W1619964379 @default.
- W2774728799 cites W1920160043 @default.
- W2774728799 cites W1986315484 @default.
- W2774728799 cites W2007885413 @default.
- W2774728799 cites W2034052030 @default.
- W2774728799 cites W2060913890 @default.
- W2774728799 cites W2079390467 @default.
- W2774728799 cites W2088328344 @default.
- W2774728799 cites W2111751070 @default.
- W2774728799 cites W2119525517 @default.
- W2774728799 cites W2121973264 @default.
- W2774728799 cites W2122057150 @default.
- W2774728799 cites W2128653836 @default.
- W2774728799 cites W2136738044 @default.
- W2774728799 cites W2149396430 @default.
- W2774728799 cites W2414102402 @default.
- W2774728799 cites W2520870210 @default.
- W2774728799 cites W2552032035 @default.
- W2774728799 cites W2561443310 @default.
- W2774728799 cites W2609323959 @default.
- W2774728799 cites W3147539069 @default.
- W2774728799 doi "https://doi.org/10.1109/access.2017.2782778" @default.
- W2774728799 hasPublicationYear "2018" @default.
- W2774728799 type Work @default.
- W2774728799 sameAs 2774728799 @default.
- W2774728799 citedByCount "17" @default.
- W2774728799 countsByYear W27747287992018 @default.
- W2774728799 countsByYear W27747287992019 @default.
- W2774728799 countsByYear W27747287992020 @default.
- W2774728799 countsByYear W27747287992021 @default.
- W2774728799 countsByYear W27747287992022 @default.
- W2774728799 crossrefType "journal-article" @default.
- W2774728799 hasAuthorship W2774728799A5013136179 @default.
- W2774728799 hasAuthorship W2774728799A5024921295 @default.
- W2774728799 hasAuthorship W2774728799A5059024261 @default.
- W2774728799 hasBestOaLocation W27747287991 @default.
- W2774728799 hasConcept C104267543 @default.
- W2774728799 hasConcept C115961682 @default.
- W2774728799 hasConcept C151730666 @default.
- W2774728799 hasConcept C153180895 @default.
- W2774728799 hasConcept C154945302 @default.
- W2774728799 hasConcept C163294075 @default.
- W2774728799 hasConcept C2779343474 @default.
- W2774728799 hasConcept C28490314 @default.
- W2774728799 hasConcept C34951282 @default.
- W2774728799 hasConcept C41008148 @default.
- W2774728799 hasConcept C47432892 @default.
- W2774728799 hasConcept C554190296 @default.
- W2774728799 hasConcept C76155785 @default.
- W2774728799 hasConcept C86803240 @default.
- W2774728799 hasConcept C99498987 @default.
- W2774728799 hasConceptScore W2774728799C104267543 @default.
- W2774728799 hasConceptScore W2774728799C115961682 @default.
- W2774728799 hasConceptScore W2774728799C151730666 @default.
- W2774728799 hasConceptScore W2774728799C153180895 @default.
- W2774728799 hasConceptScore W2774728799C154945302 @default.
- W2774728799 hasConceptScore W2774728799C163294075 @default.
- W2774728799 hasConceptScore W2774728799C2779343474 @default.
- W2774728799 hasConceptScore W2774728799C28490314 @default.
- W2774728799 hasConceptScore W2774728799C34951282 @default.
- W2774728799 hasConceptScore W2774728799C41008148 @default.
- W2774728799 hasConceptScore W2774728799C47432892 @default.
- W2774728799 hasConceptScore W2774728799C554190296 @default.
- W2774728799 hasConceptScore W2774728799C76155785 @default.
- W2774728799 hasConceptScore W2774728799C86803240 @default.
- W2774728799 hasConceptScore W2774728799C99498987 @default.
- W2774728799 hasLocation W27747287991 @default.
- W2774728799 hasLocation W27747287992 @default.
- W2774728799 hasLocation W27747287993 @default.
- W2774728799 hasOpenAccess W2774728799 @default.
- W2774728799 hasPrimaryLocation W27747287991 @default.
- W2774728799 hasRelatedWork W1555440674 @default.
- W2774728799 hasRelatedWork W2033914206 @default.
- W2774728799 hasRelatedWork W2046077695 @default.
- W2774728799 hasRelatedWork W2146076056 @default.
- W2774728799 hasRelatedWork W2159786295 @default.
- W2774728799 hasRelatedWork W2163831990 @default.
- W2774728799 hasRelatedWork W2378160586 @default.
- W2774728799 hasRelatedWork W2541950815 @default.
- W2774728799 hasRelatedWork W3003836766 @default.
- W2774728799 hasRelatedWork W2092619848 @default.
- W2774728799 hasVolume "6" @default.
- W2774728799 isParatext "false" @default.
- W2774728799 isRetracted "false" @default.
- W2774728799 magId "2774728799" @default.
- W2774728799 workType "article" @default.