Multi-Stage Encoding Scheme for Multiple Audio Objects Using Compressed Sensing

Yang, Ziyu; Jia, Maoshen; Wang, Wenbei; Zhang, Jiaming

doi:10.1515/cait-2015-0074

Cited by 3 publications

(3 citation statements)

References 13 publications

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“…For this reason, we can extract these k dominant TF instants for compression. In our previous work [19][20][21], TF instants are sorted and extracted by natural ordering via the magnitude of the normalized energy. However, this approach does not take into account HAS.…”

Section: Psychoacoustic-based Tf Instants Sortingmentioning

confidence: 99%

“…As a most common used means called simplified average distribution method, all active objects share the same NPTF has been employed in [19,21]. This allocation method balances a tradeoff between computational complexity and perceptual quality.…”

Section: Nptf Allocation Strategymentioning

confidence: 99%

“…However, with the number of objects increases, the inter-object sparsity becomes weakened, which leads to quality loss of decoded signal. In our previous work [19][20][21], a multiple audio objects encoding approach was proposed based on intra-object sparsity. Unlike the inter-object sparsity employed in PABS framework, this encoding scheme exploited the sparseness of object itself.…”

Section: Introductionmentioning

confidence: 99%

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A Psychoacoustic-Based Multiple Audio Object Coding Approach via Intra-Object Sparsity

et al. 2017

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Abstract:Rendering spatial sound scenes via audio objects has become popular in recent years, since it can provide more flexibility for different auditory scenarios, such as 3D movies, spatial audio communication and virtual classrooms. To facilitate high-quality bitrate-efficient distribution for spatial audio objects, an encoding scheme based on intra-object sparsity (approximate k-sparsity of the audio object itself) is proposed in this paper. The statistical analysis is presented to validate the notion that the audio object has a stronger sparseness in the Modified Discrete Cosine Transform (MDCT) domain than in the Short Time Fourier Transform (STFT) domain. By exploiting intra-object sparsity in the MDCT domain, multiple simultaneously occurring audio objects are compressed into a mono downmix signal with side information. To ensure a balanced perception quality of audio objects, a Psychoacoustic-based time-frequency instants sorting algorithm and an energy equalized Number of Preserved Time-Frequency Bins (NPTF) allocation strategy are proposed, which are employed in the underlying compression framework. The downmix signal can be further encoded via Scalar Quantized Vector Huffman Coding (SQVH) technique at a desirable bitrate, and the side information is transmitted in a lossless manner. Both objective and subjective evaluations show that the proposed encoding scheme outperforms the Sparsity Analysis (SPA) approach and Spatial Audio Object Coding (SAOC) in cases where eight objects were jointly encoded.

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Section: Psychoacoustic-based Tf Instants Sortingmentioning

confidence: 99%

Section: Nptf Allocation Strategymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Psychoacoustic-Based Multiple Audio Object Coding Approach via Intra-Object Sparsity

et al. 2017

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High Parameter Frequency Resolution Encoding Scheme for Spatial Audio Objects Using Stacked Sparse Autoencoder

Wang

et al. 2021

Neural Process Lett

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Efficient Image Cipher Based on Baker Map in the Discrete Cosine Transform

Alhumyani

2020

Cybernetics and Information Technologies

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This paper presents an efficient image cipher based on applying the chaotic Baker Map (BM) in the Discrete Cosine Transform (DCT). The encryption module of the proposed DCT-based BM image cipher employs a DCT on the original plain-image then, the DCT coefficients of the plain-image are shuffled with the BM. Finally, the inverse DCT is applied to the shuffled plain-image DCT coefficients to obtain the final cipher-image. The decryption module of the proposed DCT-based BM image cipher employs a DCT on the input cipher-image then, the DCT coefficients of the cipher-image are inversely shuffled with the BM. Finally, the inverse DCT is applied to the inversely shuffled cipher-image DCT coefficients to obtain the original plain-image. A set of experimental tests are performed to test the validity of the proposed DCT-based BM image cipher and the performed tests demonstrated the superiority of the proposed DCT-based BM image cipher in terms of statistical, differential, sensitivity and noise immunity.

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Multi-Stage Encoding Scheme for Multiple Audio Objects Using Compressed Sensing

Cited by 3 publications

References 13 publications

A Psychoacoustic-Based Multiple Audio Object Coding Approach via Intra-Object Sparsity

A Psychoacoustic-Based Multiple Audio Object Coding Approach via Intra-Object Sparsity

High Parameter Frequency Resolution Encoding Scheme for Spatial Audio Objects Using Stacked Sparse Autoencoder

Efficient Image Cipher Based on Baker Map in the Discrete Cosine Transform

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