NDLI: Identifying Compression History of Wave Audio and Its Applications (TOMM, Vol.10, Issue 3)

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ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) : Volume 13

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) : Volume 12

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) : Volume 11

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) : Volume 10

Issue 4, June 2014

Issue 3, April 2014

Table of Contents: Online Supplement Volume 10, Number 1s

Dissecting User Behaviors for a Simultaneous Live and VoD IPTV System

DIP: Distributed Identification of Polluters in P2P Live Streaming

Saving Energy in Mobile Devices for On-Demand Multimedia Streaming -- A Cross-Layer Approach

A Hamming Embedding Kernel with Informative Bag-of-Visual Words for Video Semantic Indexing

Mesh Discriminative Features for 3D Steganalysis

A Quality of Experience Model for Haptic Virtual Environments

Protecting the Content Integrity of Digital Imagery with Fidelity Preservation: An Improved Version

Identifying Compression History of Wave Audio and Its Applications

Issue 1s(Special issue of best papers of ACM MMSys 2013 and ACM NOSSDAV 2013), January 2014

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) : Volume 9

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) : Volume 8

Identifying Compression History of Wave Audio and Its Applications (TOMM, Vol.10, Issue 3)

Content Provider	ACM Digital Library
Author	Huang, Jiwu Luo, Weiqi Luo, Da Yang, Rui
Copyright Year	2014
Abstract	Audio signal is sometimes stored and/or processed in WAV (waveform) format without any knowledge of its previous compression operations. To perform some subsequent processing, such as digital audio forensics, audio enhancement and blind audio quality assessment, it is necessary to identify its compression history. In this article, we will investigate how to identify a decompressed wave audio that went through one of three popular compression schemes, including MP3, WMA (windows media audio) and AAC (advanced audio coding). By analyzing the corresponding frequency coefficients, including modified discrete cosine transform (MDCT) and Mel-frequency cepstral coefficients (MFCCs), of those original audio clips and their decompressed versions with different compression schemes and bit rates, we propose several statistics to identify the compression scheme as well as the corresponding bit rate previously used for a given WAV signal. The experimental results evaluated on 8,800 audio clips with various contents have shown the effectiveness of the proposed method. In addition, some potential applications of the proposed method are discussed.
Starting Page	1
Ending Page	19
Page Count	19
File Format	PDF
ISSN	15516857
e-ISSN	15516865
DOI	10.1145/2575978
Volume Number	10
Issue Number	3
Journal	ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-04-17
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Audio compression history identification Mel-frequency cepstral coefficients Modified discrete cosine transform
Content Type	Text
Resource Type	Article
Subject	Hardware and Architecture Computer Networks and Communications

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Hardware Accelerator Design of DCT Algorithm With Unique-Group Cosine Coefficients for Mel-Scale Frequency Cepstral Coefficients

Temporal Discrete Cosine Transform for speech emotion recognition

Support vector machines, Mel-Frequency Cepstral Coefficients and the Discrete Cosine Transform applied on voice based biometric authentication

Mel Frequency Cepstral Coefficients for Music Modeling (2000)

Automatic speaker recognition dynamic feature identification and classification using distributed discrete cosine transform based mel frequency cepstral coefficients and fuzzy vector quantization

Musical instrument identification using multiscale Mel-frequency cepstral coefficients

Efficient text independent speaker identification based on GFCC and CMN methods

Detection of chorus from an audio clip using dynamic time warping algorithm

A novel approach for MFCC feature extraction

Identifying Compression History of Wave Audio and Its Applications (TOMM, Vol.10, Issue 3)

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Identifying Compression History of Wave Audio and Its Applications (TOMM, Vol.10, Issue 3)