Error concealment scheme for MPEG-AAC

Kurniawati, Evelyn; Kurniawan, Erick; Lau, Chiew Tong; Premkumar, Benjamin; Absar, Javed; George, Sapna

doi:10.1109/iccs.2004.1359375

Cited by 3 publications

(5 citation statements)

References 3 publications

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“…They are contained both in MPEG-1 [1] and MPEG-2 [2]. These standards allow to work on high (32, 44.1, 48 kHz) and low sampling frequencies (16,22.05, 24 kHz) respectively. Usually MP3 codecs use a non-uniform quantization on frequency domain driven by perceptual model to compress PCM audio signal into a standard bit stream at various bit rate values.…”

Section: Mp3 Summary Reviewmentioning

confidence: 99%

“…The method proposed in [25] works both on codec and encoder side so, it is necessary to compress the music file with the modified 2 Modified Discrete Cosine Transform 3 Shifted Discrete Fourier Transform 4 Feature Vector encoder to use this algorithm. The WSP is used in error concealment contest even in [16]. [16] is based on MPEG-AAC format and use the WSP to perform a better error concealment in non stationary signals.…”

Section: Introductionmentioning

confidence: 99%

“…The WSP is used in error concealment contest even in [16]. [16] is based on MPEG-AAC format and use the WSP to perform a better error concealment in non stationary signals. In this work when the packet lost is a short window granule, it is replaced by the previous short window received.…”

Section: Introductionmentioning

confidence: 99%

“…In this contest the WSP 1 is a useful information to achieve a correct real-time beat tracker which works on MP3 1 Window-Switching Pattern files [26]. In literature there are various beat/tempo trackers which deal with MIDI signals [3][8] [22] or PCM samples [11][24] [12][7] [19] [15] [4][9] [20][21] [23], but only few articles which solve the tempo tracking task on compressed formats have been presented [26] [16]. The window-switching pattern is usually utilized by beat trackers which work on MP3 standard as information to achieve a correct beat recognition [26].…”

Section: Introductionmentioning

confidence: 99%

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Tempo induction algorithm in MP3 compressed domain

D'Aguanno

Vercellesi

2007

Proceedings of the International Workshop on Workshop on Multimedia Information Retrieval

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In this paper we propose a template matching algorithm to address tempo tracking problem in MP3 domain. The algorithm is based on MP3 Window-Switching Pattern (WSP) only. This means that no frequency analysis is performed by the program itself. Because the WSP is structured coherently with the drums line it is possible to compare this pattern with a simple metronome template. Experimental results are presented for a range of different musical styles, including rock, jazz, and popular songs with a variety of BPM and time signature. A part of the experimentation is dedicated to analyze the train set proposed for MIREX 2006. A computational cost analysis is presented too.

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Section: Mp3 Summary Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Tempo induction algorithm in MP3 compressed domain

D'Aguanno

Vercellesi

2007

Proceedings of the International Workshop on Workshop on Multimedia Information Retrieval

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“…• With a better insight of overlap add process in MDCT (Modified Discrete Cosine Transform) based coder, a new method of error concealment in the event of single frame loss was proposed [11]. This idea was extended to include a concealment scheme for transient signal [12].…”

Section: Thesis Contributionsmentioning

confidence: 99%

Development of AAC-codec for streaming in wireless mobile applications

Kurniawati.¹

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First and foremost, I would like to thank NTU School of Computer Engineering and ST Microelectronics Asia Pacific Pte. Ltd. for granting me the opportunity and scholarship to undertake the Ph.D. programme and providing me with a very conducive research environment at Parallel and Distributed Computing Center (PDCC) for my research activities. The road to this thesis has been long but rewarding. However, without the help of the following people, this work could never make its way to the current degree of recognition. I would like to express my deepest gratitude to my supervisor Dr. Lau Chiew Tong and my co-supervisor Dr. Benjamin Premkumar, from whom I have received an unconditional support during the course of this work. Their guidance and encouragement throughout difficult times are invaluable towards the completion of this research. My attachment at ST Microelectronics was a fruitful experience because I had the chance to seek feedback on how the industry would perceive my research. I have benefited from the interaction with people in this R&D center. My heartfelt thanks to my supervisor there Ms. Sapna George and Mr. Javed Absar, whose excellence and experience in signal processing field are truly inspiring. Next, I would like to thank the PDCC staff for their support, especially Irene Goh who is always there to solve our technical difficulties. A big thank you to those involved in the listening test, both from PDCC and ST Microelectronics. To my friends who never fail to console me in time of difficulties, I can never thank enough. Last but not least, I must really thank God and my parents for their love, care, and their undying confidence in me. To my beloved sister and brother, the guardian force of my life, I dedicate this work. iv

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Music Content Analysis in MP3 Compressed Domain

D'Aguanno

Machine Learning Techniques for Adaptive Multimedia Retrieval

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Nowadays more and more audio contents are stored in compressed formats. Especially MP3 music has become very popular with the availability of powerful computation and wide bandwidth connectivity. So that, this chapter will be devoted to present techniques and algorithms, dealing with compressed audio, aimed at content analysis. Since content analysis in compressed domain is an innovative field of applications, the literature review will be extended to methods that extract music content from MP3, even if the algorithms are not focused on music information retrieval. In this chapter, the authors focus on a number of different algorithms dealing with common tasks of the MIR field such as tempo induction, tempo tracking, and automatic music synchronization. They will present an overview of the MusicXML, and IEEE1599 language to represent score and synchronization results, because they have decided to use those formats to represent the score in their synchronization algorithm. The chapter will end showing applications, conclusions, and future works in the field of direct content analysis in compressed domain.

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Error concealment scheme for MPEG-AAC

Cited by 3 publications

References 3 publications

Tempo induction algorithm in MP3 compressed domain

Tempo induction algorithm in MP3 compressed domain

Development of AAC-codec for streaming in wireless mobile applications

Music Content Analysis in MP3 Compressed Domain

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