Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Extended playing techniques: the next milestone in musical instrument recognition
The expressive variability in producing a musical note conveys information essential to the
modeling of orchestration and style. As such, it plays a crucial role in computer-assisted …
modeling of orchestration and style. As such, it plays a crucial role in computer-assisted …
Pattern analysis based acoustic signal processing: a survey of the state-of-art
J Chaki - International Journal of Speech Technology, 2021 - Springer
Audio signal processing is the most challenging field in the current era for an analysis of an
audio signal. Audio signal classification (ASC) comprises of generating appropriate features …
audio signal. Audio signal classification (ASC) comprises of generating appropriate features …
Time–frequency scattering accurately models auditory similarities between instrumental playing techniques
Instrumentalplaying techniques such as vibratos, glissandos, and trills often denote musical
expressivity, both in classical and folk contexts. However, most existing approaches to music …
expressivity, both in classical and folk contexts. However, most existing approaches to music …
Audio interval retrieval using convolutional neural networks
Modern streaming services are increasingly labeling videos based on their visual or audio
content. This typically augments the use of technologies such as AI and ML by allowing to …
content. This typically augments the use of technologies such as AI and ML by allowing to …
Arrhythmia classification of 12-lead electrocardiograms by hybrid scattering-LSTM networks
Electrocardiogram (ECG) analysis is the standard of care for the diagnosis of irregular
heartbeat patterns, known as arrhythmias. This paper presents a deep learning system for …
heartbeat patterns, known as arrhythmias. This paper presents a deep learning system for …
One or two frequencies? The scattering transform answers
With the aim of constructing a biologically plausible model of machine listening, we study the
representation of a multicomponent stationary signal by a wavelet scattering network. First …
representation of a multicomponent stationary signal by a wavelet scattering network. First …
Arrhythmia classification of 12-lead and reduced-lead electrocardiograms via recurrent networks, scattering, and phase harmonic correlation
We describe an automatic classifier of arrhythmias based on 12-lead and reduced-lead
electrocardiograms. Our classifier comprises four modules: scattering transform (ST), phase …
electrocardiograms. Our classifier comprises four modules: scattering transform (ST), phase …
[HTML][HTML] Characterization of sonic events present in natural-urban hybrid habitats using umap and sednet: The case of the urban wetlands
We investigated whether the use of technological tools can effectively help in manipulating
the increasing volume of audio data available through the use of long field recordings. We …
the increasing volume of audio data available through the use of long field recordings. We …
[HTML][HTML] Listening with generative models
M Cusimano, LB Hewitt, JH McDermott - Cognition, 2024 - Elsevier
Perception has long been envisioned to use an internal model of the world to explain the
causes of sensory signals. However, such accounts have historically not been testable …
causes of sensory signals. However, such accounts have historically not been testable …
Bayesian auditory scene synthesis explains human perception of illusions and everyday sounds
M Cusimano, LB Hewitt, JH McDermott - bioRxiv, 2023 - biorxiv.org
Perception has long been envisioned to use an internal model of the world to explain the
causes of sensory signals. However, such accounts have historically not been testable …
causes of sensory signals. However, such accounts have historically not been testable …