Zobrazeno 1 - 10 of 13 pro vyhledávání: '"Kasorn Galajit"'
5
Speaker anonymization by modifying fundamental frequency and x-vector singular value
Autor: Shunsuke Kidani, Candy Olivia Mawalim, Jessada Karnjana, Kasorn Galajit, Masashi Unoki
Publikováno v: Computer Speech & Language. 73:101326
Speaker anonymization is a method of protecting voice privacy by concealing individual speaker characteristics while preserving linguistic information. The VoicePrivacy Challenge 2020 was initiated to generalize the task of speaker anonymization. In
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fc24749176b2d4c09fd7dcb145f730b1
https://doi.org/10.1016/j.csl.2021.101326
Zobrazit plný text záznamu
7
Framework for Hiding Information in Audio Sub-signals by Using Singular Spectrum Analysis with Psychoacoustic Model
Autor: Pakinee Aimmanee, Ratthamontree Burimas, Kasorn Galajit, Tidanat Kumpuak, Mongkonchai Intarauksorn, Jessada Karnjana
Publikováno v: Proceedings of the 2019 3rd International Conference on Graphics and Signal Processing.
This paper proposes a method for hiding information in audio signals by using singular spectrum analysis (SSA) with a psychoacoustic model to enhance the sound quality of a watermarked signal from our previous work. In this framework, an original sig
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::21ab830d0eb9e620289f4b18606d944d
https://doi.org/10.1145/3338472.3338488
Zobrazit plný text záznamu
8
Semi-fragile speech watermarking based on singular-spectrum analysis with CNN-based parameter estimation for tampering detection
Autor: Pakinee Aimmanee, Masashi Unoki, Jessada Karnjana, Kasorn Galajit
Publikováno v: APSIPA Transactions on Signal and Information Processing. 8
A semi-fragile watermarking scheme is proposed in this paper for detecting tampering in speech signals. The scheme can effectively identify whether or not original signals have been tampered with by embedding hidden information into them. It is based
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3050f5e60a9be01a7b540008b2628808
https://doi.org/10.1017/atsip.2019.4
Zobrazit plný text záznamu
9
Digital Audio Watermarking Method Based on Singular Spectrum Analysis with Automatic Parameter Estimation Using a Convolutional Neural Network
Autor: Kasorn Galajit, Jessada Karnjana, Masashi Unoki, Pakinee Aimmanee
Publikováno v: Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing ISBN: 9783030037475
This paper proposes an audio watermarking method based on the singular-spectrum analysis (SSA) incorporating with a convolutional neural network (CNN) for parameter estimation. A watermark is embedded into an audio signal by modifying some part of it
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c2470fba4e8e3c403b8ea30c338d9e2c
https://doi.org/10.1007/978-3-030-03748-2_8
Zobrazit plný text záznamu
10
Speech Watermarking Technique Based on Singular Spectrum Analysis and Automatic Parameter Estimation using Differential Evolution for Tampering Detection
Autor: Pakinee Aimmanee, Jessada Karnjana, Masashi Unoki, Kasorn Galajit, Mongkonchai Intarauksorn
Publikováno v: 2018 International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP).
A singular spectrum analysis-based watermarking scheme is proposed to detect speech signal tampering. The watermark is embedded into the original signal by modifying a part of less-significant singular values of the original signal, and later the ext
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::451e5ba9f5717a7e2ea0e3fc60040a18
https://doi.org/10.1109/isai-nlp.2018.8692877
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje