AVS-M Audio: Algorithm and Implementation

Zhang, Tao; Liu, Changtao; Quan, Haojun

doi:10.1155/2011/567304

Cited by 14 publications

(8 citation statements)

References 5 publications

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“…Usually, it is not transmitted to the decoder side, but is replaced by the decoded LF excitation signal because of the correlation between and HF and LF. Figure illustrates the generation process of HF signals in AVS P10 . AVS P10 is a codec for mobile speech and audio in China, and the goal of this paper is to improve its perception quality of coding.…”

Section: Related Workmentioning

confidence: 99%

“…As the basic principle of the LPC‐based BWE is based on the speech generation model, this approach is widely used in speech coding –. However, because the lower frequencies of voiced speech signals generally exhibit a stronger harmonic structure than the higher frequencies, the duplication of LF excitation should cause too much harmonic components on the generated HF excitation signals, which should bring out the objectionable, “buzzy”—sounding artifacts …”

Section: Introductionmentioning

confidence: 99%

“…6 In contemporary audio coding standard system, BWE is become a necessary module to code HF signals. For example, MPEG advance audio coding (AAC) used a spectral band replication method (SBR), 7 AMR WB+ used an LPC-based BWE, 8 ITU-T G.729.1 used a hierarchical BWE, 9 China AVS-M (also called the AVS P10 in China) used a LPC-based BWE in FFT domain, 10,11 MPEG union speech and audio coding (USAC) used an enhanced SBR (eSBR), 12 3GPP EVS used a multi-mode BWE method, including TDBWE, 13 FDBWE, 14 and IGF. 15 Recent BWE approaches have attracted more and more attention from researches, because of its good performance in high perception quality of coding and low bitrates.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A new source‐filter model audio bandwidth extension using high frequency perception feature for IoT communications

Jiang

Wang

et al. 2018

Concurrency and Computation

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Summary Audio coding is a generic technology to IoT applications system. Audio bandwidth extension is a standard technique within contemporary audio codecs to efficiently code audio signals at low bitrates. In existing methods, high frequency signal is generated by a duplication of the corresponding low frequency and some parameters of high frequency. However, the perception quality of coding will significantly degrade if the correlation between high and low frequency becomes weak. In this paper, we proposed a new source‐filter model audio bandwidth extension method. In our method, a perception feature of the high frequency signal is extracted to restore the perception quality of coding. In the decoder side, the crest factor and noise level are obtained under the constraint of the high frequency perception parameter. The performance shown in our experiment results are superior to the classic methods. Compared with the state of art method, the proposed method is also comparative because of the coding bitrate is significantly reduced and keeps a close perception quality of coding. This paper also provided a new solution for IoT communications that requires low bitrates and high quality of coding, especially like Internet of Vehicles.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A new source‐filter model audio bandwidth extension using high frequency perception feature for IoT communications

Jiang

Wang

et al. 2018

Concurrency and Computation

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“…[1,2,3,4,5], which is an important research branch in array signal processing. Many 2D-DOA estimation algorithms have sprung up in recent years in order to improve the performance of angle estimation, which include the two dimensional multiple signal classification(2D MUSIC) algorithm [6], the 2D Unitary estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm [7], the modified 2D-ESPRIT algorithm [8], the matrix pencil method [9], the maximum likelihood method [10,11], the parallel factor (PARAFAC) algorithm [12], and so on [13,14,15,16,17,18,19,20]. However, those 2D-DOA estimation algorithms are confronted with the problem of the high computational complexity generally and they are very difficult to apply in engineering practice.…”

Section: Introductionmentioning

confidence: 99%

Fast Noncircular 2D-DOA Estimation for Rectangular Planar Array

Wen

2017

Sensors

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A novel scheme is proposed for direction finding with uniform rectangular planar array. First, the characteristics of noncircular signals and Euler’s formula are exploited to construct a new real-valued rectangular array data. Then, the rotational invariance relations for real-valued signal space are depicted in a new way. Finally the real-valued propagator method is utilized to estimate the pairing two-dimensional direction of arrival (2D-DOA). The proposed algorithm provides better angle estimation performance and can discern more sources than the 2D propagator method. At the same time, it has very close angle estimation performance to the noncircular propagator method (NC-PM) with reduced computational complexity.

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“…The goal of this paper is to improve the sound quality of China AVS-M (Audio and Video coding Standard for Mobile , submitted as Audio Video coding Standard Part 10: Mobile Audio and Speech Codec [6], the AVS-M codec is named as AVS P10 following). AVS-M is a low bitrate audio coding standard proposed for the next generation mobile communication system for China.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Bandwidth Extension of Low Bitrate Compressed Audio Based on Spectral Correlation

Jiang¹,

Wang²,

Shengyu³

et al. 2015

2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)

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Application scenarios constraints of most low bitrate compression schemes lead to audio signals of low bandwidth and, inevitable, of low perceptual audio quality. Audio bandwidth extension (BWE) methods solve this problem by reconstructing the high frequency spectrum of a degraded signal based on information from the low frequency part. LPC-based BWE may represent the coarse spectral envelope, but it is difficulty to modulate finer spectrum. A novel adaptive bandwidth extension method is proposed for effective high frequency regeneration in audio coding, which is adaptive switch between LPC-based and FFT-based BWE base upon the spectral correlation. The presented FFT-based BWE reconstructs the high frequency part by information of the low frequency, and spectral envelope is adjusted by gain between high and low frequency in FFT domain. The performance gain of the proposed adaptive BWE approach increases and is superior to LPC-based and FFT-based BWE respectively.

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AVS-M Audio: Algorithm and Implementation

Cited by 14 publications

References 5 publications

A new source‐filter model audio bandwidth extension using high frequency perception feature for IoT communications

A new source‐filter model audio bandwidth extension using high frequency perception feature for IoT communications

Fast Noncircular 2D-DOA Estimation for Rectangular Planar Array

Adaptive Bandwidth Extension of Low Bitrate Compressed Audio Based on Spectral Correlation

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