Zobrazeno 1 - 10
of 14 249
pro vyhledávání: '"Speaker Recognition"'
Autor:
Piotr Staroniewicz
Publikováno v:
International Journal of Electronics and Telecommunications, Vol vol. 70, Iss No 3, Pp 615-620 (2024)
Research work on the effectiveness of voice disguise techniques is important for the development of biometric systems (surveillance) as well as phonoscopic research (forensics). A speaker recognition system or a listener can be deliberately or non-de
Externí odkaz:
https://doaj.org/article/7816be0b183e4eff9adcc921776acb4b
Autor:
Gökay Dişken, Barış Aydın
Publikováno v:
Uludağ University Journal of The Faculty of Engineering, Vol 29, Iss 1, Pp 191-204 (2024)
Ensuring security in speaker recognition systems is crucial. In the past years, it has been demonstrated that spoofing attacks can fool these systems. In order to deal with this issue, spoof speech detection systems have been developed. While these s
Externí odkaz:
https://doaj.org/article/b59b9e17a5b24a909f0d10ec8b57d49b
Autor:
Alberto Yoshihiro Nakano, Hélio Rodrigues da Silva, Julian Rodrigues Dourado, Felipe Walter Dafico Pfrimer
Publikováno v:
Semina: Ciências Exatas e Tecnológicas, Vol 45 (2024)
A small Brazilian speech corpus was created for educational purposes to study a state-of-the-art speaker recognition system. The system uses the Gaussian Mixture Model (GMM) as a statistical model for speakers and employs the Mel-frequency cepstral c
Externí odkaz:
https://doaj.org/article/977480f0971543cd952653f1e63e4932
Publikováno v:
IEEE Access, Vol 12, Pp 150114-150122 (2024)
Mel-Frequency Cepstral Coefficients (MFCCs) have been extensively used as input for many traditional and modern speech processing systems. The power of MFCCs lies in the compact representation of speech signals, which is capable of capturing the esse
Externí odkaz:
https://doaj.org/article/f4a1721b710849798b3f1432cd9a571a
Publikováno v:
IEEE Access, Vol 12, Pp 145955-145967 (2024)
Devices that use speech as the communication medium between human and computer have been emerging for the past few years. The technologies behind this interface are called Automatic Speech Recognition (ASR) and Text-to-Speech (TTS). The two are disti
Externí odkaz:
https://doaj.org/article/351d1fbfd3be4abfa53e00946ba37d3e
Autor:
Omar Ratib Khazaleh, Leen Ahmed Khrais
Publikováno v:
Journal of Engineering and Applied Science, Vol 71, Iss 1, Pp 1-24 (2024)
Abstract This paper studies the performance and reliability of deep learning-based speaker recognition schemes under various recording situations and background noise presence. The study uses the Speaker Recognition Dataset offered in the Kaggle webs
Externí odkaz:
https://doaj.org/article/04e605264e9143d89cf899b6d671c6e9
Publikováno v:
IEEE Access, Vol 12, Pp 82949-82971 (2024)
Speaker embeddings are ubiquitous, with applications ranging from speaker recognition and diarization to speech synthesis and voice anonymization. The amount of information held by these embeddings lends them versatility but also raises privacy conce
Externí odkaz:
https://doaj.org/article/0ddad9e46c0c40ffb71513cb0fa3ee20
Publikováno v:
مجله مدل سازی در مهندسی, Vol 21, Iss 75, Pp 1-18 (2023)
Speaker recognition is a process of recognizing persons based on their voice which is widely used in many applications. Although many researches have been performed in this domain, there are some challenges that have not been addressed yet. In this r
Externí odkaz:
https://doaj.org/article/767fcfe0390b4ac59bcd31539d0a6ebc
Publikováno v:
Sensors, Vol 24, Iss 19, p 6213 (2024)
Speaker recognition is a technology that identifies the speaker in an input utterance by extracting speaker-distinguishable features from the speech signal. Speaker recognition is used for system security and authentication; therefore, it is crucial
Externí odkaz:
https://doaj.org/article/fddbbb176218449ca971aa3772f19dda
Autor:
Zhiyong Chen, Shugong Xu
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2023, Iss 1, Pp 1-17 (2023)
Abstract Speaker recognition, the process of automatically identifying a speaker based on individual characteristics in speech signals, presents significant challenges when addressing heterogeneous-domain conditions. Federated learning, a recent deve
Externí odkaz:
https://doaj.org/article/ce507c02ff854c68a668b34eebb84c3b