Results 31 to 40 of about 7,109 (152)
Acoustic sequences in non-human animals: a tutorial review and prospectus. [PDF]
, 2014 Animal acoustic communication often takes the form of complex sequences, made up of multiple distinct acoustic units. Apart from the well-known example of birdsong, other animals such as insects, amphibians, and mammals (including bats, rodents, primates,
Akçay, Çağlar +41 more
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Novelty Detection Under Multi-Instance Multi-Label Framework
, 2013 Novelty detection plays an important role in machine learning and signal processing. This paper studies novelty detection in a new setting where the data object is represented as a bag of instances and associated with multiple class labels, referred to ...
Briggs, Forrest +3 more
core +1 more source
Multi-Label Classifier Chains for Bird Sound [PDF]
, 2013 Bird sound data collected with unattended microphones for automatic surveys, or mobile devices for citizen science, typically contain multiple simultaneously vocalizing birds of different species.
Briggs, Forrest +2 more
core +1 more source
On the Similarities Between Native, Non-native and Translated Texts
, 2016 We present a computational analysis of three language varieties: native, advanced non-native, and translation. Our goal is to investigate the similarities and differences between non-native language productions and translations, contrasting both with ...
Nisioi, Sergiu +3 more
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Lobbying and Political Risk Disclosure: Do Socially Responsible Firms Voluntarily Disclose More?
British Journal of Management, EarlyView.Abstract Drawing on theories of strategic communication, legitimacy, impression management and moral capital, this study investigates whether firms use political risk disclosure to offset negative perceptions associated with corporate lobbying. Using a sample of 10,120 observations from 1362 US firms between 2002 and 2018, we find that firms with ...
Maretno A. Harjoto +4 more
wiley +1 more source
A Multi-Scale Feature Fusion Hybrid Convolution Attention Model for Birdsong Recognition
Applied SciencesBirdsong is a valuable indicator of rich biodiversity and ecological significance. Although feature extraction has demonstrated satisfactory performance in classification, single-scale feature extraction methods may not fully capture the complexity of ...
Lianglian Gu +6 more
doaj +1 more source
Birdsong Recognition Based on LPDMR-NET [PDF]
Jisuanji gongchengA Lightweight Point-by-point Depth-based Multisensory wild attention Residual NETwork (LPDMR-NET) model is proposed to efficiently and quickly recognize birdsong in natural environments. First, Mel spectrograms are generated using Mel filters.
WANG Yaru, TANG Lu, CHEN Aibin, PENG Weixiong, SHEN Ping
doaj +1 more source
Parallels in the sequential organization of birdsong and human speech. [PDF]
, 2019 Human speech possesses a rich hierarchical structure that allows for meaning to be altered by words spaced far apart in time. Conversely, the sequential structure of nonhuman communication is thought to follow non-hierarchical Markovian dynamics ...
Gentner, Timothy Q +3 more
core +1 more source
A multi-view cooperative contrastive learning framework for Birdsong Classification
Ecological InformaticsBirdsong recognition plays a vital role in biodiversity research and conservation. Traditional classification models typically require large amounts of labeled data for training, and the process of annotating audio recordings is labor-intensive and time ...
Ziyi Wang +5 more
doaj +1 more source
An open dataset for research on audio field recording archives: freefield1010 [PDF]
, 2013 We introduce a free and open dataset of 7690 audio clips sampled from the field-recording tag in the Freesound audio archive. The dataset is designed for use in research related to data mining in audio archives of field recordings / soundscapes. Audio is
Plumbley, Mark D., Stowell, Dan
core +1 more source