Preprocessing of digital audio data for improving perceptual sound quality on a mobile phone

2009 ◽  
Vol 125 (3) ◽  
pp. 1839
Author(s):  
Young Han Nam
Keyword(s):  
Mobile Phone ◽  
Sound Quality ◽  
Digital Audio ◽  
Audio Data

Fast and Effective Copy-Move Detection of Digital Audio Based on Auto Segment

2019 ◽  
Vol 11 (2) ◽  
pp. 47-62 ◽  
Author(s):  
Xinchao Huang ◽  
Zihan Liu ◽  
Wei Lu ◽  
Hongmei Liu ◽  
Shijun Xiang
Keyword(s):  
Time Complexity ◽  
State Of The Art ◽  
Digital Audio ◽  
Activity Detection ◽  
Research Focus ◽  
Audio Forensics ◽  
Significant Research ◽  
Audio Data ◽  
Adjacent Segments ◽  
Voice Activity

Detecting digital audio forgeries is a significant research focus in the field of audio forensics. In this article, the authors focus on a special form of digital audio forgery—copy-move—and propose a fast and effective method to detect doctored audios. First, the article segments the input audio data into syllables by voice activity detection and syllable detection. Second, the authors select the points in the frequency domain as feature by applying discrete Fourier transform (DFT) to each audio segment. Furthermore, this article sorts every segment according to the features and gets a sorted list of audio segments. In the end, the article merely compares one segment with some adjacent segments in the sorted list so that the time complexity is decreased. After comparisons with other state of the art methods, the results show that the proposed method can identify the authentication of the input audio and locate the forged position fast and effectively.

Digital audio data compression

1995 ◽  
Vol 7 (1) ◽  
pp. 5-10 ◽  
Author(s):  
F. Wylie
Keyword(s):  
Data Compression ◽  
Digital Audio ◽  
Audio Data

Perception-based authentication watermarking for digital audio data

2009 ◽  
Author(s):  
Sascha Zmudzinski ◽  
Martin Steinebach
Keyword(s):  
Digital Audio ◽  
Audio Data

Cable equalizer for aes digital audio data

2002 ◽  
Vol 112 (5) ◽  
pp. 1739
Author(s):  
Donald S. Lydon ◽  
Charles S. Meyer
Keyword(s):  
Digital Audio ◽  
Audio Data

Steganography for Data Hiding in Digital Audio Data using Combined Least Significant Bit and 4-Wrap Length Method

2018 ◽  
Author(s):  
Arief Bramanto Wicaksono Putra ◽  
Muhammad Taher Jufri ◽  
Dirgahayu Lantara ◽  
Anugrah Assyauqi ◽  
Agusma Wajiansyah ◽  
...  
Keyword(s):  
Data Hiding ◽  
Digital Audio ◽  
Least Significant Bit ◽  
Audio Data

Fast and Effective Copy-Move Detection of Digital Audio Based on Auto Segment

2020 ◽  
pp. 127-142
Author(s):  
Xinchao Huang ◽  
Zihan Liu ◽  
Wei Lu ◽  
Hongmei Liu ◽  
Shijun Xiang
Keyword(s):  
Fourier Transform ◽  
Special Form ◽  
Time Complexity ◽  
Voice Activity Detection ◽  
Digital Audio ◽  
Audio Forensics ◽  
Significant Research ◽  
Audio Data ◽  
Adjacent Segments ◽  
Voice Activity

Detecting digital audio forgeries is a significant research focus in the field of audio forensics. In this article, the authors focus on a special form of digital audio forgery—copy-move—and propose a fast and effective method to detect doctored audios. First, the article segments the input audio data into syllables by voice activity detection and syllable detection. Second, the authors select the points in the frequency domain as feature by applying discrete Fourier transform (DFT) to each audio segment. Furthermore, this article sorts every segment according to the features and gets a sorted list of audio segments. In the end, the article merely compares one segment with some adjacent segments in the sorted list so that the time complexity is decreased. After comparisons with other state of the art methods, the results show that the proposed method can identify the authentication of the input audio and locate the forged position fast and effectively.

System of HD Digital Audio Decoder

2015 ◽  
Vol 743 ◽  
pp. 355-358
Author(s):  
Mang Zhou
Keyword(s):  
Data Stream ◽  
Digital Audio ◽  
System Construction ◽  
Audio Processing ◽  
Audio Data ◽  
Audio Decoder ◽  
Audio System

This paper describes a audio system for high-definition(HD)digital audio decoding solution. The system is well aligned to decoding audio data stream Dolby True HD,DTS HDMaster, and support advanced audio processing Pro Logic® IIx, DTS Neo6. Discuss focuses on system construction and management of audio process by host MUC.

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