Zobrazeno 1 - 10
of 1 689
pro vyhledávání: '"mel-frequency cepstral coefficients"'
Publikováno v:
Railway Sciences, Vol 3, Iss 5, Pp 609-621 (2024)
Purpose – The safe operation of the metro power transformer directly relates to the safety and efficiency of the entire metro system. Through voiceprint technology, the sounds emitted by the transformer can be monitored in real-time, thereby achiev
Externí odkaz:
https://doaj.org/article/1819b010dd71484ebb9db6307c2e4fbb
Autor:
Ahmed I. Taloba, R.T. Matoog
Publikováno v:
Alexandria Engineering Journal, Vol 113, Iss , Pp 44-59 (2025)
Respiratory diseases such as chronic obstructive pulmonary disease (COPD) and pulmonary diseases in general represent some of the most pervasive health threats globally, so there is a need to develop effective diagnostic systems. Therefore, identifyi
Externí odkaz:
https://doaj.org/article/d1b95c0857d94555a6fcce498e927a91
Publikováno v:
Proceedings on Engineering Sciences, Vol 6, Iss 3, Pp 1391-1402 (2024)
The analysis of emotions expressed in spoken language holds a pivotal role in human communication, artificial intelligence, and human-computer interaction. While emotion recognition in text has seen considerable advancements, recognizing emotional st
Externí odkaz:
https://doaj.org/article/aec4c54e6be045d9a5af38f74d55b3e6
Publikováno v:
Rekayasa Mesin, Vol 15, Iss 2, Pp 1175-1186 (2024)
The continuity of a production process is supported by the availability of good assets. One of the efforts to support asset availability is through asset maintenance. One of the important assets in the industry is the pump. To detect anomalous condit
Externí odkaz:
https://doaj.org/article/de8781e0677f4d3a86b8c321ae86364c
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
Publikováno v:
Heliyon, Vol 10, Iss 24, Pp e40748- (2024)
Introduction: Laryngeal cancer diagnosis relies on specialist examinations, but non-invasive methods using voice data are emerging with artificial intelligence (AI) advancements. Mel Frequency Cepstral Coefficients (MFCCs) are widely used for voice a
Externí odkaz:
https://doaj.org/article/8bec2a84181841109003c138ce1f8bd8
Autor:
Urszula Libal, Pawel Biernacki
Publikováno v:
International Journal of Electronics and Telecommunications, Vol vol. 70, Iss No 4 (2024)
Abstract—Smart beekeeping is a rapidly developing field. Automated detection and classification of honey bees opens many new opportunities for studies on their behavior. In this paper, we focus on distinguishing between two classes of bees: female
Externí odkaz:
https://doaj.org/article/a72bec960e194843a52fb5c8bafafc50
Autor:
D. V. Krasnoproshin, M. I. Vashkevich
Publikováno v:
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, Vol 22, Iss 3, Pp 93-100 (2024)
The problem of recognizing emotions in a speech signal using mel-frequency cepstral coefficients using a classifier based on the support vector machine has been studied. The RAVDESS data set was used in the experiments. A model is proposed that uses
Externí odkaz:
https://doaj.org/article/f2a32af28d264a7c9870abad798e81f5
Publikováno v:
Buletin Pos dan Telekomunikasi: Media Komunikasi Ilmiah, Vol 22, Iss 1, Pp 54-74 (2024)
Identity theft, a pervasive criminal risk in the digital realm, particularly in online transactions, demands innovative security solutions. Voice biometrics, a cutting-edge technology, have been developed to ensure the protection of one's identificat
Externí odkaz:
https://doaj.org/article/a50ad1c2ec0744218fff648fec33ad2a
Publikováno v:
ARO-The Scientific Journal of Koya University, Vol 12, Iss 2 (2024)
Detecting fake speech in voice-based authentication systems is crucial for reliability. Traditional methods often struggle because they can't handle the complex patterns over time. Our study introduces an advanced approach using deep learning, specif
Externí odkaz:
https://doaj.org/article/2ddbc2433b3a4b8c9d276a65d90205c5