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Articoli di riviste sul tema "Audio software"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 29 maggio 2022

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1

Dunne, Jared. "Bidule Modular Audio Software." Computer Music Journal 31, no. 2 (2007): 84–86. http://dx.doi.org/10.1162/comj.2007.31.2.84.

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Dunne, Jared. "DaevlMakr.Plugs Audio Software Effects." Computer Music Journal 32, no. 3 (2008): 113–15. http://dx.doi.org/10.1162/comj.2008.32.3.113.

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3

Huang, Xinchao, Zihan Liu, Wei Lu, Hongmei Liu, and Shijun Xiang. "Fast and Effective Copy-Move Detection of Digital Audio Based on Auto Segment." International Journal of Digital Crime and Forensics 11, no. 2 (2019): 47–62. http://dx.doi.org/10.4018/ijdcf.2019040104.

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Detecting digital audio forgeries is a significant research focus in the field of audio forensics. In this article, the authors focus on a special form of digital audio forgery—copy-move—and propose a fast and effective method to detect doctored audios. First, the article segments the input audio data into syllables by voice activity detection and syllable detection. Second, the authors select the points in the frequency domain as feature by applying discrete Fourier transform (DFT) to each audio segment. Furthermore, this article sorts every segment according to the features and gets a sorted

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4

Turel, Vehbi. "Learners' Attitudes to Repetitious Exposure in Multimedia Listening Software." EuroCALL Review 19 (September 20, 2011): 56. http://dx.doi.org/10.4995/eurocall.2011.16272.

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<p>The positive effects of using different types of listening texts (i.e. audio, video) in listening enhancement as a part of foreign language learning are already well known (Turel 2004: 178-84, Tschirner 2001: 310, Ridgway 2000: 182, Borchardt 1999:10, Adair-Hauck et al. 1999: 273, 289, Peter 1994: 202, Hart 1992: 5). As multimedia enables us to combine and present different listening texts on the same digital computer platform more effectively, the same listening texts can be presented to language learners in different forms (Turel 2004: 129-38, Trinder 2002: 79, Heron et al. 2002: 37

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5

Cordeiro, Rodrigo, David N. Prata, and Patrick Letouze. "Global Software Engineering for Audio Production." International Journal of Social Science and Humanity 4, no. 4 (2014): 283–87. http://dx.doi.org/10.7763/ijssh.2014.v4.364.

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6

Bryan, B., and K. Sangani. "Software reviews: Streaming audio and podcasting." Engineering & Technology 8, no. 7 (2013): 90–91. http://dx.doi.org/10.1049/et.2013.0733.

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7

Gong, Chen, Jinghong Zhang, Yunzhao Yang, Xiaowei Yi, Xianfeng Zhao, and Yi Ma. "Detecting fingerprints of audio steganography software." Forensic Science International: Reports 2 (December 2020): 100075. http://dx.doi.org/10.1016/j.fsir.2020.100075.

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Petrov, Milen, Asen Asenov, and Adelina Aleksieva-Petrova. "Software Server for Automatic Generation of Audio Lectures (uListenSrv)." International Journal of Advanced Corporate Learning (iJAC) 10, no. 1 (2017): 55. http://dx.doi.org/10.3991/ijac.v10i1.6475.

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<p class="Abstract">Facilitation of new methods for learning materials delivery and adoption of new learning experiences and practices in e-learning is always a challenge. Using synthesis of digital audio learning assets and learning objects as one of main sources for conducting learning is not new, but research on using audio lectures or combined audio with presentation lecture is not well investigated and adopted in traditional online learning environments. The main goal of current paper is to present requirements elicitation, software analysis, design, construction and testing of secu

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9

Feng, Lina. "Literature Review of the Application of Audio Testing Software to Chinese Musicology." Applied Mechanics and Materials 347-350 (August 2013): 1074–78. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.1074.

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In this paper, the extensive application of audio testing software to Chinese musicology was reviewed. New audio testing software developed by Chinese musicologists include DEAM and GMAS , which along with imported audio testing software such as Solo Explore 1.0, Speech Analyzer3.0.1 have been widely applied by Chinese musicologists to ethnomusicology, archeology of music, folk music as well as musical entertainment. With the support of audio testing software, Chinese musicology has made much progress.

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10

Davis, Bill. "Software Review: The Audio Tutorial Braille Game." Journal of Visual Impairment & Blindness 79, no. 1 (1985): 28–29. http://dx.doi.org/10.1177/0145482x8507900106.

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11

Theodore, Michael. "Propellerheads ReCycle!, ReBirth, and Reason Audio Software." Computer Music Journal 27, no. 2 (2003): 121–26. http://dx.doi.org/10.1162/comj.2003.27.2.121.

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12

Alber, Alex. "Presentation of the Software Program SONAL." Bulletin of Sociological Methodology/Bulletin de Méthodologie Sociologique 137-138, no. 1 (2018): 176–200. http://dx.doi.org/10.1177/0759106318761613.

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This article presents the main functions of the software program SONAL ( www.sonal-info.com ), outlining its fundamental logic and the contexts in which it may be useful as part of a sociological investigation. The article begins by showing how Sonal allows the researcher to construct a corpus directly based on audio recordings, which can be coded thematically via a system of graphical markers positioned on the audio itself, and then annotated or re-transcribed in the synchronised way. The article then demonstrates how this logic allows the organisation of the work to be modified and enables t

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13

Jaloudi, Samer. "Software-Defined Radio for Modular Audio Mixers: Making Use of Market-Available Audio Consoles and Software-Defined Radio to Build Multiparty Audio-Mixing Systems." IEEE Consumer Electronics Magazine 6, no. 4 (2017): 97–104. http://dx.doi.org/10.1109/mce.2017.2714720.

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14

Tao, Biaoli, Rangding Wang, Diqun Yan, and Chao Jin. "Anti-Forensics of Double Compressed MP3 Audio." International Journal of Digital Crime and Forensics 12, no. 3 (2020): 45–57. http://dx.doi.org/10.4018/ijdcf.2020070104.

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The widespread availability of audio editing software has made it easy to create acoustically convincing digital audio forgeries. To address this problem, more and more attention has been paid to the field of digital audio forensics. There has been little work, however, in the field of anti-forensics, which seeks to develop a set of techniques designed to fool current forensic methodologies. The compression history of an audio sample can be used to provide evidence of audio forgeries. In this work, we present a simple method for distinguishing the MP3 compression history of an audio sample. We

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15

Lin, Chen, Tianbao Wang, and Chenxi Yang. "Design of Remote Network Audio and Video Communication System." International Journal of Computer Applications Technology and Research 9, no. 12 (2020): 332–35. http://dx.doi.org/10.7753/ijcatr0912.1004.

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With the continuous development of information technology, real-time audio and video communication is becoming more and more important in people's daily life. At present, there are a lot of software with audio and video communication function in the market, such as Tencent QQ software, wechat, nailing, etc. these software are developed with C / S architecture, and can not achieve cross platform and cross terminal. Users need to download the software to carry out audio and video communication. In view of this, this paper uses webrtc technology based on ice framework to realize the design of rem

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16

Andriyanto, R. M. Aditya. "PROSES PRODUKSI AUDIO PADA KONSER VIRTUAL "COLORCHESTRA" BATAVIA CHAMBER ORCHESTRA MENGGUNAKAN SOFTWARE DIGITAL AUDIO WORKSTATION LOGIC PRO." Imaji 19, no. 2 (2021): 143–61. http://dx.doi.org/10.21831/imaji.v19i2.44854.

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Pandemi Covid-19 menyebabkan munculnya konsep pertunjukan konser musik secara virtual sebagai alternatif penyajian karya seni musik. Penelitian ini bertujuan untuk mengetahui proses produksi audio hasil rekam karya pada Konser Virtual "Colorchestra" Batavia Chamber Orchestra menggunakan software Digital Audio Workstation Logic Pro. Selain itu, penelitian ini diharapkan dapat menambah wawasan pendidik dan peserta didik (mahasiswa) mengenai penciptaan karya mengunakan software DAW sebagai kecakapan digital literasi pendidikan musik abad-21. Metode penelitian ini menggunakan metode kualitatif des

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Wiflihani, Wiflihani, Pita HD Silitonga, and Herna Hirza. "Digitalization of North Sumatera Malay Ritual Music Using Cubase 5 Software." Budapest International Research and Critics Institute (BIRCI-Journal) : Humanities and Social Sciences 2, no. 4 (2019): 556–66. http://dx.doi.org/10.33258/birci.v2i4.657.

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The high level of need of dance artists in North Sumatra for digital audio of Malay ritual dance music while the digital material is not publicly available. This triggers researchers to conduct research on the use of this cubase music software as an alternative in the process of packaging the learning material of musical accompaniment of the Gobuk Bedagai Malay ritual dance into digital audio. The method used in this study is an experimental approach to the process of packaging the learning material of musical accompaniment of the Gobuk Bedagai Malay ritual dance into digital audio. The packag

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18

Hutchinson, Alison M. "Analysing audio-recorded data: using computer software applications." Nurse Researcher 12, no. 3 (2005): 20–31. http://dx.doi.org/10.7748/nr2005.01.12.3.20.c5945.

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19

Craig Rush, S. "Transana: qualitative analysis software for video and audio." Educational Psychology in Practice 30, no. 2 (2014): 213–14. http://dx.doi.org/10.1080/02667363.2014.903587.

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20

Speitel, Thomas, and Marie Iding. "AUDIO PAST RECORDING SOFTWARE FOR COMPUTER‐ASSISTED LEARNING." Computer Assisted Language Learning 10, no. 4 (1997): 339–47. http://dx.doi.org/10.1080/0958822970100404.

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21

Chen, T., J. Datta, and B. Karley. "An open DSP software architecture for consumer audio." IEEE Transactions on Consumer Electronics 45, no. 4 (1999): 1253–58. http://dx.doi.org/10.1109/30.809216.

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22

Jeong, Jin-Hwan, and Chuck Yoo. "Software-Based Video/Audio Processing for Cellular Phones." Telecommunication Systems 28, no. 2 (2005): 185–210. http://dx.doi.org/10.1007/s11235-004-5016-y.

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23

Liu, Hanlin, Jingju Liu, Xuehu Yan, Pengfei Xue, and Dingwei Tan. "An Audio Steganography Based on Run Length Encoding and Integer Wavelet Transform." International Journal of Digital Crime and Forensics 13, no. 2 (2021): 16–34. http://dx.doi.org/10.4018/ijdcf.2021030102.

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This paper proposes an audio steganography method based on run length encoding and integer wavelet transform which can be used to hide secret message in digital audio. The major contribution of the proposed scheme is to propose an audio steganography with high capacity, where the secret information is compressed by run length encoding. In the applicable scenario, the main purpose is to hide as more information as possible in the cover audio files. First, the secret information is chaotic scrambling, then the result of scrambling is run length encoded, and finally, the secret information is emb

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24

Harley, James. "Waves Audio Restoration and Noise Reduction Toolkit; BIAS SoundSoap Pro Pro-Audio Restoration Software." Computer Music Journal 30, no. 4 (2006): 114–20. http://dx.doi.org/10.1162/comj.2006.30.4.114.

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25

Martyniuk, Tetiana, Maksym Mykytiuk, and Mykola Zaitsev. "FEATURES OF ANALYSIS OF MULTICHANNEL AUDIO SIGNALSFEATURES OF ANALYSIS OF MULTICHANNEL AUDIO SIGNALS." ГРААЛЬ НАУКИ, no. 2-3 (April 9, 2021): 302–5. http://dx.doi.org/10.36074/grail-of-science.02.04.2021.061.

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The rapid growth of audio content has led to the need to use tools for analysis and quality control of audio signals using software and hardware and modules. The fastest-growing industry is software and programming languages.The Python programming language today has the most operational and visual capabilities for working with sound. When developing programs for computational signal analysis, it provides the optimal balance of high and low-level programming functions. Compared to Matlab or other similar solutions, Python is free and allows you to create standalone applications without the need

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26

Özkaya Eren, Ayşegül, and Mustafa Sert. "Audio Captioning with Composition of Acoustic and Semantic Information." International Journal of Semantic Computing 15, no. 02 (2021): 143–60. http://dx.doi.org/10.1142/s1793351x21400018.

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Generating audio captions is a new research area that combines audio and natural language processing to create meaningful textual descriptions for audio clips. To address this problem, previous studies mostly use the encoder–decoder-based models without considering semantic information. To fill this gap, we present a novel encoder–decoder architecture using bi-directional Gated Recurrent Units (BiGRU) with audio and semantic embeddings. We extract semantic embedding by obtaining subjects and verbs from the audio clip captions and combine these embedding with audio embedding to feed the BiGRU-b

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27

Okabe, Tetsuya, Tadashi Sakamoto, and Tomohiro Hase. "Full audio software solution for a 16-bit DSP core for digital audio decoder LSI." Computer Standards & Interfaces 20, no. 6-7 (1999): 462. http://dx.doi.org/10.1016/s0920-5489(99)90999-6.

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28

Okabe, T., T. Sakamoto, and T. Hase. "Full audio software solution for a 16-bit DSP core for digital audio decoder LSI." IEEE Transactions on Consumer Electronics 44, no. 1 (1998): 117–24. http://dx.doi.org/10.1109/30.663737.

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29

Li, Zhencong, Qin Yao, and Wanzhi Ma. "Matching Subsequence Music Retrieval in a Software Integration Environment." Complexity 2021 (May 22, 2021): 1–12. http://dx.doi.org/10.1155/2021/4300059.

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This paper firstly introduces the basic knowledge of music, proposes the detailed design of a music retrieval system based on the knowledge of music, and analyzes the feature extraction algorithm and matching algorithm by using the features of music. Feature extraction of audio data is the important research of this paper. In this paper, the main melody features, MFCC features, GFCC features, and rhythm features, are extracted from audio data and a feature fusion algorithm is proposed to achieve the fusion of GFCC features and rhythm features to form new features under the processing of princi

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30

Payande, Neda, and Behname Ghavami. "Designing an Intelligent Translation Software by Audio Processing Techniques." Bulletin of Pure & Applied Sciences- Physics 35d, no. 1and2 (2016): 27. http://dx.doi.org/10.5958/2320-3218.2016.00006.3.

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31

Tsai, Tsung-Han, Ya-Chau Yang, and Chun-Nan Liu. "A Hardware/Software Co-Design of MP3 Audio Decoder." Journal of VLSI signal processing systems for signal, image and video technology 41, no. 1 (2005): 111–27. http://dx.doi.org/10.1007/s11265-005-6254-2.

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32

Li, Xiang Jun, Qiao Zheng Ma, and Xiao Fei Zhang. "Design of Audio-Video Player System Based on Android Platform." Advanced Materials Research 694-697 (May 2013): 2313–16. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.2313.

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The wide application of audio and video technology is becoming more and more popular, involving the development of audio and video players, video conference, digital television, video on demand software, etc. This paper first studies and analyzes the structures of audio and video systems; then according to the analytical results, this paper expands the audio-video system by transplanting the FFmpeg framework, enabling it to support the parsing and decoding of a variety of audio and video formats. At last, this paper proposes the player development scheme by adopting the expanded audio-video sy

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Li, Shao Yuan. "Design of a Digital Audio Player Based on μc/Os and μc/GUI". Applied Mechanics and Materials 462-463 (листопад 2013): 650–53. http://dx.doi.org/10.4028/www.scientific.net/amm.462-463.650.

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At present, with the rapid development of digital audio technology, high speed and high performance digital audio processing technology faces an important issue. This paper proposes and designs a digital audio player combined with digital audio and embedded systems two cutting-edge technology. Hardware circuitry takes STM32F103VE as the main controller, configurated with VS1003 audio decoder chip and the corresponding SD card storage module, LCD module, power supply module and so on; software design transplants embedded operating system μC / OS. This paper takes advantage of μC/GUI to design a

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34

Sun, Sihua. "Digital Audio Scene Recognition Method Based on Machine Learning Technology." Scientific Programming 2021 (November 26, 2021): 1–9. http://dx.doi.org/10.1155/2021/2388697.

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Audio scene recognition is a task that enables devices to understand their environment through digital audio analysis. It belongs to a branch of the field of computer auditory scene. At present, this technology has been widely used in intelligent wearable devices, robot sensing services, and other application scenarios. In order to explore the applicability of machine learning technology in the field of digital audio scene recognition, an audio scene recognition method based on optimized audio processing and convolutional neural network is proposed. Firstly, different from the traditional audi

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35

Rossum, Dave. "Trends in PC audio." Computer Standards & Interfaces 20, no. 6-7 (1999): 422–23. http://dx.doi.org/10.1016/s0920-5489(99)90830-9.

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36

Pardo, Bryan, Mark Cartwright, Prem Seetharaman, and Bongjun Kim. "Learning to Build Natural Audio Production Interfaces." Arts 8, no. 3 (2019): 110. http://dx.doi.org/10.3390/arts8030110.

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Improving audio production tools provides a great opportunity for meaningful enhancement of creative activities due to the disconnect between existing tools and the conceptual frameworks within which many people work. In our work, we focus on bridging the gap between the intentions of both amateur and professional musicians and the audio manipulation tools available through software. Rather than force nonintuitive interactions, or remove control altogether, we reframe the controls to work within the interaction paradigms identified by research done on how audio engineers and musicians communic

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Luzuriaga, Dario, Chung-Horng Lung, and Margaret Funmilayo. "Software-Based Video–Audio Production Mixer via an IP Network." IEEE Access 8 (2020): 11456–68. http://dx.doi.org/10.1109/access.2020.2964630.

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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 (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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Kim, Kwang S., Hantao Wang, and Ludo Max. "It's About Time: Minimizing Hardware and Software Latencies in Speech Research With Real-Time Auditory Feedback." Journal of Speech, Language, and Hearing Research 63, no. 8 (2020): 2522–34. http://dx.doi.org/10.1044/2020_jslhr-19-00419.

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Purpose Various aspects of speech production related to auditory–motor integration and learning have been examined through auditory feedback perturbation paradigms in which participants' acoustic speech output is experimentally altered and played back via earphones/headphones “in real time.” Scientific rigor requires high precision in determining and reporting the involved hardware and software latencies. Many reports in the literature, however, are not consistent with the minimum achievable latency for a given experimental setup. Here, we focus specifically on this methodological issue associ

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Ding, Yu, Jing Huang, and Catherine Pelachaud. "Audio-Driven Laughter Behavior Controller." IEEE Transactions on Affective Computing 8, no. 4 (2017): 546–58. http://dx.doi.org/10.1109/taffc.2017.2754365.

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Ambard, Maxime. "Software Design for Low-Latency Visuo-Auditory Sensory Substitution on Mobile Devices." Computer and Information Science 10, no. 2 (2017): 1. http://dx.doi.org/10.5539/cis.v10n2p1.

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Visuo-auditory sensory substitution devices transform a video stream into an audio stream to help visually impaired people in situations where spatial information is required, such as avoiding moving obstacles. In these particular situations, the latency between an event in the real world and its auditory transduction is of paramount importance. In this article, we describe an optimized software architecture for low-latency video-to-audio transduction using current mobile hardware. We explain step-by-step the required computations and we report the corresponding measured latencies. The whole l

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Wang, De Sheng, Zhi Chao Wang, and Cheng Wu Lin. "Design of 5.1 Channel Audio System Based on Zigbee and PurePath Wireless Technology." Applied Mechanics and Materials 385-386 (August 2013): 1296–99. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.1296.

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This paper presents a design scheme of 5.1-channel wireless audio system which takes the advantages of Zigbee and PurePath Wireless technologies. It overcomes several disadvantages of traditional wired audio system such as inconvenience of speaker placement, complexity of wiring, low efficiency, etc. This system adopts a star topology structure with a host and six slave machines. System management is based on Zigbee network, and digital audio is transmitted via PurePath Wireless audio link. The CC8530 audio transceiver chips and IEEE 802.15.4 RF chips were adopted as the hardware platform and

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Borovets, Dmytro, Tetyana Pavych, and Yaroslav Paramud. "Computer System for Converting Gestures to Text and Audio Messages." Advances in Cyber-Physical Systems 6, no. 2 (2021): 90–97. http://dx.doi.org/10.23939/acps2021.02.090.

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Today, there are quite a large number of deaf- mute and hard-of-hearing people which communicate using gestures. Therefore, it is simply necessary to provide them with modern means of communication with the surrounding world. This paper creates a holistic computer system architecture for converting gestures into text and audio messages. The principles of construction and basic design solutions of a computer system based on a modern element base with increased productivity and minimization of hardware costs and energy consumption have been developed. The most popular existing solutions for gest

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Wang, Jin. "Research on the Multimedia Music Courseware Design Based on Internet Resource." Applied Mechanics and Materials 380-384 (August 2013): 2095–98. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.2095.

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With the advance of computer information science and technology, multimedia courseware has been widely used in the application and development of teaching practice. The multimedia music courseware has good auditory dynamic guide and vividness. It can produce very good teaching effect in the teaching process. Music lessons belong to audio-visual vocal class teaching, the abstract of course makes music teaching need to develop multimedia dynamic courseware. Music lessons belong to audio-visual vocal class teaching, the abstract of course makes music teaching need to develop multimedia dynamic co

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Albayati, Wurood, Mohammad azeez Abdulhassan Alshomali, and Jason Holdsworth. "listenToMe instead of Readme file." Al-Qadisiyah Journal Of Pure Science 26, no. 2 (2021): 15–24. http://dx.doi.org/10.29350/qjps.2021.26.2.1264.

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Abstract— Readme file is a short document associated with most open source software (OSS), it provides useful information about the software. Software developers use different structure when documenting their software, accordingly there were many attempts to uniform the structure of readme file as this file is the main file most user read and help the user to decide upon using the software or not .In this paper we suggest using audio format for readme file (ListenToMe) to do so we used 100 GitHub repositories as a dataset. Extracting commits from it results in 326793 messages. Next, commits re

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Guerlain, Stephanie, Thomas Shin, Hui Guo, Reid Adams, and J. Forrest Calland. "The Rate Tool: Multimedia Observation and Analysis of Teams." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 46, no. 7 (2002): 755. http://dx.doi.org/10.1177/154193120204600701.

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We have developed a digital audiovisual recording and analysis system for studying team behavior. The system uses four computes to collect up to four video and eight audio signals. A separate software package is used to synchronize, view, analyze and score the audio/video streams.

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Amatriain, Xavier. "CLAM: A Framework for Audio and Music Application Development." IEEE Software 24, no. 1 (2007): 82–85. http://dx.doi.org/10.1109/ms.2007.8.

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D'Orfani, Renato. "PC audio technologies in transition." Computer Standards & Interfaces 20, no. 6-7 (1999): 422. http://dx.doi.org/10.1016/s0920-5489(99)90829-2.

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Bevacqua, Elisabetta, and Catherine Pelachaud. "Expressive audio-visual speech." Computer Animation and Virtual Worlds 15, no. 34 (2004): 297–304. http://dx.doi.org/10.1002/cav.32.

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Serebryanaya, L. V., and I. E. Lasy. "Automatic recognition and representation of text in the form of audio stream." Doklady BGUIR 19, no. 6 (2021): 51–58. http://dx.doi.org/10.35596/1729-7648-2021-19-6-51-58.

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Abstract (sommario):

The problem of automatic speech generation from a text file is considered. An analytical review of the software has been completed. They are designed to recognize texts and convert them to an audio stream. The advantages and disadvantages of software products are estimated. Based on this, a conclusion was drawn about the relevance of developing a software for automatic generation of an audio stream from a text in Russian. Models based on artificial neural networks, which are used for speech synthesis, are analyzed. After that, a mathematical model of the created software is built. It consists

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