Zobrazeno 1 - 10
of 3 207
pro vyhledávání: '"speaker identification."'
Autor:
Husam Alasadi, Ghadeer Qasim Ali
Publikováno v:
Journal of Applied Engineering and Technological Science, Vol 6, Iss 1 (2024)
Crowded speech or Overlapping speech, occurs when multiple individuals speak simultaneously, which is a common occurrence in real-life scenarios such as telephone conversations, meetings, and debates. The critical task in these situations is to ident
Externí odkaz:
https://doaj.org/article/552746f3528847dc9a434ed2c289f8c6
Publikováno v:
Acoustics, Vol 6, Iss 2, Pp 439-469 (2024)
This paper delves into an in-depth exploration of speaker recognition methodologies, with a primary focus on three pivotal approaches: feature-level fusion, dimension reduction employing principal component analysis (PCA) and independent component an
Externí odkaz:
https://doaj.org/article/4e261b3c28504247a9ec6e21194f8dcc
Autor:
K. Khadar Nawas, A. Shahina, Keshav Balachandar, P. Maadeshwaran, N. G. Devanathan, Navein Kumar, A. Nayeemulla Khan
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Speech is produced by a nonlinear, dynamical Vocal Tract (VT) system, and is transmitted through multiple (air, bone and skin conduction) modes, as captured by the air, bone and throat microphones respectively. Speaker specific characteristi
Externí odkaz:
https://doaj.org/article/047bb3b065eb4ec6a788bd284c1bfcb5
Publikováno v:
IET Radar, Sonar & Navigation, Vol 18, Iss 2, Pp 266-276 (2024)
Abstract Voice identification is being increasingly adopted in various domains, including security infrastructures, intelligent home systems, and personalised digital assistants. Notably, it harbours significant promise in transforming healthcare, es
Externí odkaz:
https://doaj.org/article/1780aac553f64a0f93feeb84784c07b5
Autor:
Syed Shahab Zarin, Ehzaz Mustafa, Sardar Khaliq uz Zaman, Abdallah Namoun, Meshari Huwaytim Alanazi
Publikováno v:
Applied Sciences, Vol 14, Iss 22, p 10426 (2024)
Automatic noise-robust speaker identification is essential in various applications, including forensic analysis, e-commerce, smartphones, and security systems. Audio files containing suspect speech often include background noise, as they are typicall
Externí odkaz:
https://doaj.org/article/c5c31dba5fda41b49469304a5c339470
Autor:
Tsung-Han Tsai, Meng-Jui Chiang
Publikováno v:
IEEE Access, Vol 12, Pp 165482-165496 (2024)
The use of the neural network to recognize a speaker’s identity from their speech sounds has become popular in the last few years. Among these methods, the x-vector extractor, which is based on time-delay neural networks (TDNN), performs better in
Externí odkaz:
https://doaj.org/article/0465200f5a8b4d9ebbc7d4c2ab7883b5
Publikováno v:
IEEE Access, Vol 12, Pp 51381-51394 (2024)
Since voice communication is the most frequent form of human communication, it is necessary to identify each speaker in a discussion. The development of advanced computer processing units, deep learning techniques and publicly available datasets prom
Externí odkaz:
https://doaj.org/article/1bd81a970ed449c8a4641211793e52d9
Autor:
Yassin Terraf, Youssef Iraqi
Publikováno v:
IEEE Access, Vol 12, Pp 14094-14115 (2024)
Speaker identification in challenging acoustic environments, influenced by noise, reverberation, and emotional fluctuations, requires improved feature extraction techniques. Although existing methods effectively extract distinct acoustic features, th
Externí odkaz:
https://doaj.org/article/5f6d67e3757e41a3ab47285af60a2905
Publikováno v:
زبان پژوهی, Vol 15, Iss 47, Pp 131-155 (2023)
Human voices are unique, and for this reason, speakers can be identified by their voices. This shows that speech sounds contain speaker-specific information that can be reflected in the acoustic properties of speech signals. There are many individual
Externí odkaz:
https://doaj.org/article/af3a7111b38840589dbd61ef3d67ddfa
Autor:
Ching-Ta Lu, Liang-Yu Wang
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5718 (2024)
Producing conference/meeting minutes requires a person to simultaneously identify a speaker and the speaking content during the course of the meeting. This recording process is a heavy task. Reducing the workload for meeting minutes is an essential t
Externí odkaz:
https://doaj.org/article/7550d09d23b649179299505886cd8282