Zobrazeno 1 - 10
of 8 432
pro vyhledávání: '"Audio Signal Processing"'
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-29 (2024)
Abstract This study introduces a novel deep learning-based approach for classifying poultry audio signals, incorporating a custom Burn Layer to enhance model robustness. The methodology integrates digital audio signal processing, convolutional neural
Externí odkaz:
https://doaj.org/article/3a39f2aa9b934e7089b7f58aa5a9c768
Publikováno v:
Journal of Applied Informatics and Computing, Vol 8, Iss 1, Pp 226-234 (2024)
This research classifies acoustic instruments using Convolutional Neural Network (CNN). We utilize a dataset from Kaggle containing audio recordings of piano, violin, drums, and guitar. The training set consists of 700 guitar, percussion, violin, and
Externí odkaz:
https://doaj.org/article/1c6417c89ae640ba9fddac00d89ca6be
Autor:
Michael Nigro, Sridhar Krishnan
Publikováno v:
Machine Learning with Applications, Vol 18, Iss , Pp 100593- (2024)
Audio scene analysis involves a variety of tasks to obtain information from an audio environment. Audio source counting is one such task that has implications to many other aspects of audio analysis, yet it is relatively unexplored. This work present
Externí odkaz:
https://doaj.org/article/ab4d25579a8345c9ae0c15f10fbd76bb
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract Identifying and recognizing the food on the basis of its eating sounds is a challenging task, as it plays an important role in avoiding allergic foods, providing dietary preferences to people who are restricted to a particular diet, showcasi
Externí odkaz:
https://doaj.org/article/fcf3c55e2b8b46db93f24fc2ed584f56
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 266-273 (2024)
Real-time audio communications over IP have become essential to our daily lives. Packet-switched networks, however, are inherently prone to jitter and data losses, thus creating a strong need for effective packet loss concealment (PLC) techniques. Th
Externí odkaz:
https://doaj.org/article/4a0867f99b4748b7bb62892cde7d67ac
Autor:
James M. Cozens, Simon J. Godsill
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 140-149 (2024)
This paper proposes a probabilistic approach for extracting time-varying and irregular time signature information from polyphonic audio extracts, subsequently providing beat and bar line positions given inferred time signature divisions. This is achi
Externí odkaz:
https://doaj.org/article/73fa27b2a46c44a996b257b6186e31df
Autor:
Bai Ganghua
Publikováno v:
Measurement: Sensors, Vol 33, Iss , Pp 101224- (2024)
In the traditional network media education system, there is little content about skill performance, and the malleability is poor. With the combination of Internet technology, online teaching videos of performance skills began to be promoted on a larg
Externí odkaz:
https://doaj.org/article/b4cf57b2fe814e96b25308c60d5d33bd
Autor:
Xiao Chen, Zhaoyou Zeng
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 11, Pp 19438-19453 (2023)
Bird sound recognition is crucial for bird protection. As bird populations have decreased at an alarming rate, monitoring and analyzing bird species helps us observe diversity and environmental adaptation. A machine learning model was used to classif
Externí odkaz:
https://doaj.org/article/fb9c20149a19426d8ebf75db7af9a6bc
Publikováno v:
Al-Iraqia Journal for Scientific Engineering Research, Vol 3, Iss 1 (2024)
The rapid growth of big data and the emergence of new technologies have posed significant challenges in data compression, particularly in the domain of audio compression. Audio compression has gained widespread applications in advanced audio coding,
Externí odkaz:
https://doaj.org/article/45c45a19e18846d89bcef5775bf38488
Autor:
Alexandros Mitsou, Antonia Petrogianni, Eleni Amvrosia Vakalaki, Christos Nikou, Theodoros Psallidas, Theodoros Giannakopoulos
Publikováno v:
Data in Brief, Vol 52, Iss , Pp 109842- (2024)
Automatically detecting the playing styles of musical instruments could assist in the development of intelligent software for music coaching and training. However, the respective methodologies are still at an early stage, and there are limitations in
Externí odkaz:
https://doaj.org/article/43576a8a5994455581f7f8484ab21754