audio system
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2021 ◽  
Vol 2021 (1) ◽  
pp. 48-56
Author(s):  
Oliver Major ◽  
Ziad Shaban ◽  
Bernd Czelhan ◽  
Adrian Murtaza

In July 2020 the Brazilian Terrestrial Television System Forum (SBTVD) has issued a Call for Proposals (CfP) for their next-generation digital TV system called TV 3.0. Fraunhofer IIS and ATEME have proposed the MPEG-H Audio system, based on the open international standard ISO/IEC 23008-3, MPEG-H 3D Audio, as a candidate technology for the Application Coding component of SBTVD TV 3.0. The submitted proposal specifies a new Application Programming Interface (API) enabling applications to make use of the nextgeneration interactivity features of the MPEG-H Audio system. This paper provides a detailed description of the proposed API, as well as the submitted JavaScript implementation, and the architecture of the prototype system. Additionally, the paper outlines the proposed evaluation process demonstrating how the MPEG-H Audio system fulfills the TV 3.0 Application Coding requirements for 3D object-based immersive audio interaction and emergency warning information delivery


2021 ◽  
Vol 2021 (1) ◽  
pp. 31-46
Author(s):  
Adrian Murtaza ◽  
Stefan Meltzer ◽  
Yannik Grewe ◽  
Nicolas Faecks ◽  
Mickael Raulet ◽  
...  

Under the name “TV 3.0 Project”, the Brazilian Terrestrial Television System Forum (SBTVD) has issued the Call for Proposals (CfP) for a next generation Brazilian digital TV system, in July 2020. The MPEG-H Audio system, based on the open international standard ISO/IEC 23008-3, has been proposed by Fraunhofer IIS, ATEME, the Digital Broadcasting Experts Group (DiBEG) and the Advanced Television Systems Committee (ATSC). This paper provides an overview of the MPEG-H Audio system and the TV 3.0 Project requirements for the audio component. The TV 3.0 Project specifies a detailed test and evaluation procedure for verifying the fulfillment of the requirements. With wide industry support, the MPEG-H Audio system brings immersive sound, advanced interactivity, and accessibility options, as well as advanced features like hybrid delivery, consistent loudness after user interaction, connectivity options for external sound devices and seamless configuration changes. The MPEG-H Audio proponents have submitted a complete production and broadcast real-time chain to the SBTVD Forum which demonstrates the most advanced features.


2021 ◽  
Vol 184 ◽  
pp. 108359
Author(s):  
Noko Kuratomo ◽  
Haruna Miyakawa ◽  
Soh Masuko ◽  
Toshimasa Yamanaka ◽  
Keiichi Zempo

2021 ◽  
Vol 2 (2) ◽  
pp. 92-107
Author(s):  
Aminudin Aminudin ◽  
Dedi Junaedi

This community service activity aims to identify micro, small and medium enterprises in WK Audio System Cileungsi Bogor. The method used is a field study and qualitative analysis of the operation of a family business. Based on the results of the analysis of the WK Audio Sound System business, it can be concluded: (1) the internal factors that become the main strengths of the WK audio sound system are a well-managed family business, having employees who are closely related and understand each other's sound system; (2) external factors that become the main opportunity for WK Audio Sound System, namely consumers of sound system equipment that continue to increase so that the potential to get more customers, while the main threat of WK Audio Sound System is the emergence of competitors that cause competition.


Information ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 263
Author(s):  
Tianyun Liu ◽  
Diqun Yan ◽  
Rangding Wang ◽  
Nan Yan ◽  
Gang Chen

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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