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Journal articles on the topic 'Stereo audio'

Author: Grafiati
Published: 25 June 2021
Last updated: 1 February 2022

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1

Linz, Alfredo R. "Stereo audio CODEC." Journal of the Acoustical Society of America 103, no. 1 (January 1998): 17. http://dx.doi.org/10.1121/1.423135.

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2

Linz, Alfredo R. "Stereo audio codec." Journal of the Acoustical Society of America 102, no. 3 (September 1997): 1277. http://dx.doi.org/10.1121/1.419992.

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3

Liu, Tianyun, Diqun Yan, Rangding Wang, Nan Yan, and Gang Chen. "Identification of Fake Stereo Audio Using SVM and CNN." Information 12, no. 7 (June 28, 2021): 263. http://dx.doi.org/10.3390/info12070263.

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The number of channels is one of the important criteria in regard to digital audio quality. Generally, stereo audio with two channels can provide better perceptual quality than mono audio. To seek illegal commercial benefit, one might convert a mono audio system to stereo with fake quality. Identifying stereo-faking audio is a lesser-investigated audio forensic issue. In this paper, a stereo faking corpus is first presented, which is created using the Haas effect technique. Two identification algorithms for fake stereo audio are proposed. One is based on Mel-frequency cepstral coefficient features and support vector machines. The other is based on a specially designed five-layer convolutional neural network. The experimental results on two datasets with five different cut-off frequencies show that the proposed algorithm can effectively detect stereo-faking audio and has good robustness.
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4

Dong, Yingjun, Neil G. MacLaren, Yiding Cao, Francis J. Yammarino, Shelley D. Dionne, Michael D. Mumford, Shane Connelly, Hiroki Sayama, and Gregory A. Ruark. "Utterance Clustering Using Stereo Audio Channels." Computational Intelligence and Neuroscience 2021 (September 25, 2021): 1–8. http://dx.doi.org/10.1155/2021/6151651.

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Utterance clustering is one of the actively researched topics in audio signal processing and machine learning. This study aims to improve the performance of utterance clustering by processing multichannel (stereo) audio signals. Processed audio signals were generated by combining left- and right-channel audio signals in a few different ways and then by extracting the embedded features (also called d-vectors) from those processed audio signals. This study applied the Gaussian mixture model for supervised utterance clustering. In the training phase, a parameter-sharing Gaussian mixture model was obtained to train the model for each speaker. In the testing phase, the speaker with the maximum likelihood was selected as the detected speaker. Results of experiments with real audio recordings of multiperson discussion sessions showed that the proposed method that used multichannel audio signals achieved significantly better performance than a conventional method with mono-audio signals in more complicated conditions.
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5

Amin, A. A., M. S. Islam, M. A. Masud, and M. N. H. Khan. "Impact of Higher Order Adaptive Filtering for Stereo System Audio Signal." Indonesian Journal of Electrical Engineering and Computer Science 6, no. 3 (June 1, 2017): 623. http://dx.doi.org/10.11591/ijeecs.v6.i3.pp623-627.

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In present stereo audio system is a most popular audio system for different purposes. Now a day’s stereo system is commonly used in communication and other purposes. Moreover Normalized Least Mean Square (NLMS) based adaptive filtering is an effective filtering process in case of communication and other applications. However adaptive filtering is an adaptive filter process to cancel out the noise from audio signal successfully. Hence the main objective of this paper is to design a NLMS adaptive filter which cancels out the noise from a noisy wave format stereo audio file. Moreover by varying the order of the adaptive filter (such as 8<sup>th</sup>, 16<sup>th</sup>, 32<sup>th</sup> and 64<sup>th</sup>), the performance of the NMLS adaptive filtered signal with respect to reference and noisy stereo audio signal are analyzed as well.
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6

Amin, A. A., M. S. Islam, A. A. M. Masud, and M. N. H. Khan. "Design and Performance Analysis of 1.8 GHz Low Noise Amplifier for Wireless Receiver Application." Indonesian Journal of Electrical Engineering and Computer Science 6, no. 3 (June 1, 2017): 656. http://dx.doi.org/10.11591/ijeecs.v6.i3.pp656-662.

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In present stereo audio system is a most popular audio system for different purposes. Now a day’s stereo system is commonly used in communication and other purposes. Moreover Normalized Least Mean Square (NLMS) based adaptive filtering is an effective filtering process in case of communication and other applications. However adaptive filtering is an adaptive filter process to cancel out the noise from audio signal successfully. Hence the main objective of this paper is to design a NLMS adaptive filter which cancels out the noise from a noisy wave format stereo audio file. Moreover by varying the order of the adaptive filter (such as 8<sup>th</sup>, 16<sup>th</sup>, 32<sup>th</sup> and 64<sup>th</sup>), the performance of the NMLS adaptive filtered signal with respect to reference and noisy stereo audio signal are analyzed as well.
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7

Liang, Ji Xiu, and Shou Kui Li. "Audio Power Amplifier Design and Debugging." Applied Mechanics and Materials 651-653 (September 2014): 2269–72. http://dx.doi.org/10.4028/www.scientific.net/amm.651-653.2269.

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The modern demands for hearing level is getting higher and higher, so the authenticity of stereo sound quality demand is higher and higher, the stereo power amplifier is integrated circuit TDA2030A primarily composed of stereo power amplifier, it USES the typical power amplification circuit, with less distortion, peripheral components, high stability, wide frequency response range, high fidelity, the advantages of large power, at the same time adopt SiYun put GL324A of input audio signal processing and high, bass, and thus more output sound of quality guarantee. Articles of amplifiers made simple introduction, and give the detailed design and debug program.
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8

Park, Sung-Wook, and Tae-Yun Chung. "Stereo Audio Matched with 3D Video." Journal of Korean Institute of Intelligent Systems 21, no. 2 (April 25, 2011): 153–58. http://dx.doi.org/10.5391/jkiis.2011.21.2.153.

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9

Heed, Christer, and Fredrik Gunnarsson. "Method of processing and reproducing an audio stereo signal and an audio stereo signal reproduction system." Journal of the Acoustical Society of America 120, no. 2 (2006): 574. http://dx.doi.org/10.1121/1.2336657.

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10

Zhang, Jian Bin, Ming Fang Zhu, Yan Ling Ren, and Jian Lu. "Design of Stereo Frequency Modulation Exciter Controlled by Microcontroller." Applied Mechanics and Materials 29-32 (August 2010): 796–801. http://dx.doi.org/10.4028/www.scientific.net/amm.29-32.796.

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A new stereo Frequency Modulation exciter scheme for short-distance wireless communication is proposed. It adopts a stereo FM IC BH1415 to transmit audio FM signals, and its transmitting frequency is controlled by microcontroller. The basic principle of phase-locked loop for FM is analyzed, and the audio FM circuit based on BH1415 and the controlling method based on AT89C51 are introduced. Test results indicated that, the audio FM Exciter had simple structure and higher reliability, each parameter can meet the demands of FM broadcasting system, and it has some scalability.
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11

Marton, Trygve Frederik. "System and method for enhanced stereo audio." Journal of the Acoustical Society of America 125, no. 6 (2009): 4108. http://dx.doi.org/10.1121/1.3155491.

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12

Kim, Ki Duk, Chul Whan Kim, Hoon Ki Choi, Dong Su Ryu, Chul Whan Kim, Hoon Ki Choi, and Dong Su Ryu. "Audio analysis method of a car stereo." Journal of the Acoustical Society of America 109, no. 5 (May 2001): 2399. http://dx.doi.org/10.1121/1.4744470.

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13

Iliev, Alexander I., and Michael S. Scordilis. "Binaural phase masking experiments in stereo audio." Journal of the Acoustical Society of America 112, no. 5 (November 2002): 2273–74. http://dx.doi.org/10.1121/1.4779105.

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14

Gunnarsson, Fredrik. "Audio stereo processing method, device and system." Journal of the Acoustical Society of America 128, no. 4 (2010): 2254. http://dx.doi.org/10.1121/1.3500765.

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15

Shaoliang Meng, Wei Cao, Yixin Yan, and Shengming Li. "Bit Replacement Audio Watermarking Using Stereo Signals." INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences 2, no. 3 (September 30, 2010): 18–24. http://dx.doi.org/10.4156/aiss.vol2.issue3.3.

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16

Heed, Christer, and Fredrik Gunnarsson. "Two methods and two devices for processing an input audio stereo signal, and an audio stereo signal reproduction system." Journal of the Acoustical Society of America 121, no. 6 (2007): 3261. http://dx.doi.org/10.1121/1.2748540.

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17

Teh, Do-Hui. "Apparatus and method for stereo audio encoding of digital audio signal data." Journal of the Acoustical Society of America 103, no. 1 (January 1998): 21. http://dx.doi.org/10.1121/1.423157.

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18

Chen, Austin, and Mark A. Hasegawa-Johnson. "Mixed Stereo Audio Classification Using a Stereo-Input Mixed-to-Panned Level Feature." IEEE/ACM Transactions on Audio, Speech, and Language Processing 22, no. 12 (December 2014): 2025–33. http://dx.doi.org/10.1109/taslp.2014.2359628.

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19

Bisset, John P. "Using True Stereo Noise for Audio Equipment Evaluation." SMPTE Journal 99, no. 1 (January 1990): 258–64. http://dx.doi.org/10.5594/j16788.

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20

Hyun, Dong-Il, Young-Cheol Park, and Dae Hee Youn. "Improved Phase Synthesis for Parametric Stereo Audio Coding." Journal of the Institute of Electronics Engineers of Korea 50, no. 12 (December 25, 2013): 184–90. http://dx.doi.org/10.5573/ieek.2013.50.12.184.

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21

Ritoniemi, T., E. Pajarre, S. Ingalsuo, T. Husu, V. Eerola, and T. Saramiki. "A stereo audio sigma-delta A/D-converter." IEEE Journal of Solid-State Circuits 29, no. 12 (1994): 1514–23. http://dx.doi.org/10.1109/4.340425.

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22

Cecchi, Stefania, Marco Virgulti, Andrea Primavera, and et al. "Investigation on Audio Algorithms Architecture for Stereo Portable Devices." Journal of the Audio Engineering Society 64, no. 1/2 (February 5, 2016): 75–88. http://dx.doi.org/10.17743/jaes.2015.0084.

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23

Wang, Jing, Xiaohan Zhao, Xiang Xie, and Jingming Kuang. "A Multi-Frame PCA-Based Stereo Audio Coding Method." Applied Sciences 8, no. 6 (June 12, 2018): 967. http://dx.doi.org/10.3390/app8060967.

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24

Jean, F. R., C. F. Long, T. H. Hwang, and H. C. Wang. "Two-stage bit allocation algorithm for stereo audio coder." IEE Proceedings - Vision, Image, and Signal Processing 143, no. 5 (1996): 331. http://dx.doi.org/10.1049/ip-vis:19960759.

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25

Ross, D. "Design - Consumer Technology. More personal stereo [sounding audio equipment]." Engineering & Technology 15, no. 2 (March 1, 2020): 56–57. http://dx.doi.org/10.1049/et.2020.0208.

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26

Dhavale, Sunita V., Rajendra S. Deodhar, Debasish Pradhan, and L. M. Patnaik. "A robust zero watermarking algorithm for stereo audio signals." International Journal of Information and Computer Security 8, no. 4 (2016): 330. http://dx.doi.org/10.1504/ijics.2016.080424.

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27

Patnaik, L. M., Sunita V. Dhavale, Debasish Pradhan, and Rajendra S. Deodhar. "A robust zero watermarking algorithm for stereo audio signals." International Journal of Information and Computer Security 8, no. 4 (2016): 330. http://dx.doi.org/10.1504/ijics.2016.10001268.

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28

Gates, Stephen F. "Audio surround system with stereo enhancement and directivity servos." Journal of the Acoustical Society of America 95, no. 6 (June 1994): 3684. http://dx.doi.org/10.1121/1.409916.

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29

Hwang, Min-Jae, JeeSok Lee, MiSuk Lee, and Hong-Goo Kang. "SVD-Based Adaptive QIM Watermarking on Stereo Audio Signals." IEEE Transactions on Multimedia 20, no. 1 (January 2018): 45–54. http://dx.doi.org/10.1109/tmm.2017.2721642.

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30

McGrath, David S. "Head related transfer functions for panned stereo audio content." Journal of the Acoustical Society of America 127, no. 6 (2010): 3878. http://dx.doi.org/10.1121/1.3455410.

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31

McGrath, David S. "Head related transfer functions for panned stereo audio content." Journal of the Acoustical Society of America 127, no. 6 (2010): 3869. http://dx.doi.org/10.1121/1.3457089.

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32

Natgunanathan, Iynkaran, Yong Xiang, Yue Rong, and Dezhong Peng. "Robust patchwork-based watermarking method for stereo audio signals." Multimedia Tools and Applications 72, no. 2 (April 16, 2013): 1387–410. http://dx.doi.org/10.1007/s11042-013-1454-4.

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33

Li, Zhen, and Qian Yi Yang. "The Research of Dynamic Sound of Multichannel System Based on Matlab." Applied Mechanics and Materials 602-605 (August 2014): 2569–71. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.2569.

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With the emergence and development of 3D video technology, audiences have higher expectations to the sound effect while watching the 3D video. So we studied the dynamic sound effect under the existing audio standard of the multichannel. In this paper, the audio file of the sea wave was disposed by the Gaussian function through MATLAB and divided into several parts to be saved as different audio files. Then each audio file was sent to a channel to simulate a stereo sound field. Test result showed that the effect will provide a perfect experience for the audiences.
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34

Wu, Yuanxin, Wen Diao, Dongdong Hou, and Weiming Zhang. "Reversible Watermarking on Stereo Audio Signals by Exploring Inter-Channel Correlation." International Journal of Digital Crime and Forensics 11, no. 1 (January 2019): 29–45. http://dx.doi.org/10.4018/ijdcf.2019010103.

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A new reversible watermarking algorithm on stereo audio signals is proposed in this article. By utilizing correlations between two channels of audio signal, the authors segment one channel based on another one according to the smoothness. For each segmented sub-host sequence, they estimate its capacity and the corresponding embedding distortion firstly, and then select the optimal combinations of sub-host sequences for embedding. Experimental results indicate that the proposed algorithm can improve SNR (signal to noise ratio) for various kinds of capacity.
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35

Tatlas, Nicolas-Alexander, Andreas Floros, Thomas Zarouchas, and John Mourjopoulos. "WLAN Technologies for Audio Delivery." Advances in Multimedia 2007 (2007): 1–16. http://dx.doi.org/10.1155/2007/12308.

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Audio delivery and reproduction for home or professional applications may greatly benefit from the adoption of digital wireless local area network (WLAN) technologies. The most challenging aspect of such integration relates the synchronized and robust real-time streaming of multiple audio channels to multipoint receivers, for example, wireless active speakers. Here, it is shown that current WLAN solutions are susceptible to transmission errors. A detailed study of the IEEE802.11e protocol (currently under ratification) is also presented and all relevant distortions are assessed via an analytical and experimental methodology. A novel synchronization scheme is also introduced, allowing optimized playback for multiple receivers. The perceptual audio performance is assessed for both stereo and 5-channel applications based on either PCM or compressed audio signals.
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36

LEE, Young Han, Deok Su KIM, Hong Kook KIM, Jongmo SUNG, Mi Suk LEE, and Hyun Joo BAE. "Bandwidth-Scalable Stereo Audio Coding Based on a Layered Structure." IEICE Transactions on Information and Systems E92-D, no. 12 (2009): 2540–44. http://dx.doi.org/10.1587/transinf.e92.d.2540.

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37

Vernony, Steve, and Tony Spath. "Carrying Multichannel Audio in a Stereo Production and Distribution Infrastructure." SMPTE Journal 111, no. 2 (February 2002): 97–102. http://dx.doi.org/10.5594/j16393.

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38

Takahashi, A., R. Nishimura, and Y. Suzuki. "Multiple watermarks for stereo audio signals using phase-modulation techniques." IEEE Transactions on Signal Processing 53, no. 2 (February 2005): 806–15. http://dx.doi.org/10.1109/tsp.2004.839901.

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39

Adams, R., and T. Kwan. "A stereo asynchronous digital sample-rate converter for digital audio." IEEE Journal of Solid-State Circuits 29, no. 4 (April 1994): 481–88. http://dx.doi.org/10.1109/4.280698.

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40

Faller, Christof. "METHOD TO GENERATE MULTI-CHANNEL AUDIO SIGNAL FROM STEREO SIGNALS." Journal of the Acoustical Society of America 133, no. 4 (2013): 2513. http://dx.doi.org/10.1121/1.4800114.

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41

Kim, Jung-ho. "METHOD AND APPARATUS FOR AUDIO BASS ENHANCEMENT USING STEREO SPEAKERS." Journal of the Acoustical Society of America 133, no. 5 (2013): 3213. http://dx.doi.org/10.1121/1.4803759.

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42

He, Jianjun, Ee-Leng Tan, and Woon-Seng Gan. "Linear Estimation Based Primary-Ambient Extraction for Stereo Audio Signals." IEEE/ACM Transactions on Audio, Speech, and Language Processing 22, no. 2 (February 2014): 505–17. http://dx.doi.org/10.1109/taslp.2013.2297015.

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43

Bai, Mingsian, and Geng-yu Shih. "Upmixing and Downmixing Two-channel Stereo Audio for Consumer Electronics." IEEE Transactions on Consumer Electronics 53, no. 3 (August 2007): 1011–19. http://dx.doi.org/10.1109/tce.2007.4341580.

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44

Chen, Rui, Yu Lin Lan, and Mohammad Reza Asharif. "Digital Audio Watermarking Scheme Based on Independent Component Analysis in Stereo Sound." Advanced Materials Research 459 (January 2012): 469–73. http://dx.doi.org/10.4028/www.scientific.net/amr.459.469.

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This paper proposed a digital audio watermarking scheme based on independent component analysis (ICA) in stereo sound. In order to make full use of the multi-channel characteristic of stereo sound, The watermarking embedded into the two channel, half respectively. Also using the multi-resolution characteristic of discrete wavelet transform, performing 3-level DWT in each channel. Selecting the low frequency coefficient appropriately as the embed location to make sure of the balance between the transparency and robustness. The extraction process is similar with ICA’ s goal, it’s used in extraction makes the scheme simple for implementation. The experiment results show that the proposed scheme has good robustness against common attacks, as well as transparency
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45

RENDRAGRAHA, RENDY DWI, GELAR BUDIMAN, and IRMA SAFITRI. "QIM - Based Audio Watermarking with Combination Technique of DCT-QR-CPT." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 7, no. 1 (January 24, 2019): 112. http://dx.doi.org/10.26760/elkomika.v7i1.112.

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ABSTRAKAudio watermarking adalah teknik memasukkan informasi ke dalam file audio dan untuk melindungi hak cipta data digital dari distribusi ilegal. Makalah ini memperkenalkan audio stereo watermarking berdasarkan Quantization Index Modulation (QIM) dengan teknik gabungan Discrete Cosine Transform (DCT) - QRCartesian Polar Transform (CPT). Host audio dibagi menjadi beberapa frame, selanjutnya setiap frame ditransformasi oleh DCT, kemudian output DCT diuraikan menjadi matriks orthogonal dan matriks segitiga menggunakan metode QR. Selanjutnya, CPT mengubah dua koefisien kartesian dari matriks segitiga (R) pada posisi (1,1) dan (2,2) menjadi koefisien polar. Setelah itu, penyisipan dilakukan pada koefisien polar oleh QIM. Hasil simulasi menunjukkan bahwa imperseptibilitas audio terwatermark berkualitas baik dengan Signal to Noise Ratio (SNR)> 20, Mean Opinion Score (MOS)> 4 dan tahan terhadap serangan seperti Low Pass Filter (LPF) dan Band Pass Filter (BPF) dengan cut off 25-6k, resampling, Linear Speed Change (LSC) dan MP3 Compression dengan rate diatas 64 kbps.Kata kunci: Audio Watermarking, CPT, DCT, QIM, QR ABSTRACTAudio watermarking is a technique for inserting information into an audio file and to protect the copyright of digital data from illegal distribution. This paper introduces a stereo audio watermarking based on Quantization Index Modulation (QIM) with combined technique Discrete Cosine Transform (DCT) – QR – Cartesian Polar Transform (CPT). Each frame of a host audio is transformed by DCT, then DCT output is decomposed using QR method. Next, CPT transform two cartesian coefficients from triangular matrix (R) in position (1,1) and (2,2) to polar coefficients. After that, embedding is executed on polar coefficients by QIM. The simulation result shows that the imperceptibility is good with Signal to Noise Ratio (SNR)>20, Mean Opinion Score (MOS)>4 and it is robust against attacks such as Low Pass Filter (LPF) and Band Pass Filter (BPF) with cut off 25-6k, Resampling, Linear Speed Change and MP3 Compression with rate 64 kbps and above. Keywords: Audio Watermarking, CPT, DCT, QIM, QR
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46

Susilo, Deddy, Budihardja Murtianta, and Albert Tarra Wahyu Setiadi. "Sistem Pensaklaran pada Masukan dan Keluaran Penguat Awal Audio." Techné : Jurnal Ilmiah Elektroteknika 18, no. 02 (October 10, 2019): 147–54. http://dx.doi.org/10.31358/techne.v18i02.218.

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Perangkat audio fidelitas tinggi (high fidelity) memiliki arti seberapa mirip bentuk sinyal keluaran hasil rekonstruksi terhadap sinyal masukan. Pada penelitian ini dirancang suatu sistem pensaklaran yang diterapkan pada masukan dan keluaran penguat awal (pre-amplifier) audio mono (1 kanal), lalu dengan diberikannya sistem pensaklaran tersebut, maka penguat awal audio mono tersebut dapat berfungsi menjadi seolah-olah penguat awal audio stereo. Dari hasil pengujian pada sistem pensaklaran yang sudah digabung pada penguat awal audio mono didapatkan penguatan yang mendekati sama tiap kanalnya dengan kanal kiri sebesar 20.844dB dan kanal kanan sebesar 20.842dB. Akan tetapi, pada hasil perancangan ini masih memiliki beberapa kekurangan yaitu naiknya distorsi sinyal keluaran sebesar 1.550% untuk kanal kiri dan 1.565% untuk keluaran kanal kanan, serta bertambahnya cakap silang (crosstalk) antar kanalnya menjadi -26.24dB dan menurunnya nilai SNR (signal to noise ratio) menjadi 64.06 dB.
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47

Hong, Yiyu, and Jongweon Kim. "Autocorrelation Modulation-Based Audio Blind Watermarking Robust Against High Efficiency Advanced Audio Coding." Applied Sciences 9, no. 14 (July 10, 2019): 2780. http://dx.doi.org/10.3390/app9142780.

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High Efficiency Advanced Audio Coding (HE-AAC) is a lossy compression method for digital audio data which supplies high-quality audio at a very low bit rate. In this paper, the audio blind watermarking algorithm, on the basis of autocorrelation modulation, is introduced to maximize the robustness against low-bit rate HE-AAC. The watermark is embedded by modulating the normalized correlation of the original signal as well as its delayed version. The signal-to-noise ratio of before and after HE-AAC compression decides the strength of the embedding watermark. The watermarking embedding strength is guaranteed by the feedback process. The effectiveness of the proposed method is proven using the Perceptual Evaluation of Audio Quality algorithm and bit error rate of recovered watermarks under HE-AAC compression on mono, stereo and 5.1 channel audio. Experimental results show that the proposed method provides good performance in terms of imperceptibility, robustness and data payload compared with some recent state-of-the-art watermarking methods under an MPEG-2 Audio Layer III (MP3) compression attack.
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48

Simón Galvez, Marcos F., Dylan Menzies, Russell Mason, and Filippo Maria Fazi. "Object-Based Audio Reproduction using a Listener-Position Adaptive Stereo System." Journal of the Audio Engineering Society 64, no. 10 (October 25, 2016): 740–51. http://dx.doi.org/10.17743/jaes.2016.0027.

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49

Vilkamo, Juha, and Ville Pulkki. "Adaptive Optimization of Interchannel Coherence with Stereo and Surround Audio Content." Journal of the Audio Engineering Society 62, no. 12 (January 5, 2015): 861–69. http://dx.doi.org/10.17743/jaes.2014.0046.

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50

Küçük, Abdullah, Yiya Hao, Anshuman Ganguly, and Issa M. Panahi. "Stereo I/O framework for audio signal processing on android platforms." Journal of the Acoustical Society of America 143, no. 3 (March 2018): 1955–56. http://dx.doi.org/10.1121/1.5036421.

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