Separating the source information in repetition-dependent music and enhancing it by real-time digital audio processing

Author(s):  
Shivam Sharma ◽  
Kishan Kumar ◽  
Vinay Kumar Mittal
2015 ◽  
Vol 40 (2) ◽  
pp. 205-211 ◽  
Author(s):  
Bartłomiej Miga ◽  
Bartosz Ziółko

Abstract This article presents an efficient method of modelling acoustic phenomena for real-time applications such as computer games. Simplified models of reflections, transmission, and medium attenuation are described along with assessments conducted by a professional sound designer. The article introduces representation of sound phenomena using digital filters for further digital audio processing.


Author(s):  
L. Merah ◽  
◽  
P. Lorenz ◽  
A. Ali-Pacha ◽  
N. Hadj-Said ◽  
...  

The enormous progress in communication technology has led to a tremendous need to provide an ideal environment for the transmission, storing, and processing of digital multimedia content, where the audio signal takes the lion's share of it. Audio processing covers many diverse fields, its main aim is presenting sound to human listeners. Recently, digital audio processing became an active research area, it covers everything from theory to practice in relation to transmission, compression, filtering, and adding special effects to an audio signal. The aim of this work is to present the real-time implementation steps of some audio effects namely, the echo and Flanger effects on Field Programmable Gate Array (FPGA). Today, FPGAs are the best choice in data processing because they provide more flexibility, performance, and huge processing capabilities with great power efficiency. Designs are achieved using the XSG tool (Xilinx System Generator), which makes complex designs easier without prior knowledge of hardware description languages. The paper is presented as a guide with deep technical details about designing and real-time implementation steps. We decided to transfer some experience to designers who want to rapidly prototype their ideas using tools such as XSG. All the designs have been simulated and verified under Simulink/Matlab environment, then exported to Xilinx ISE (Integrated Synthesis Environment) tool for the rest of the implementation steps. The paper also gives an idea of interfacing the FPGA with the LM4550 AC’97 codec using VHDL coding. The ATLYS development board based on Xilinx Spartan-6 LX45 FPGA is used for the real-time implementation.


2017 ◽  
Vol 9 (3) ◽  
pp. 315-326 ◽  
Author(s):  
Lars Keuninckx ◽  
Jan Danckaert ◽  
Guy Van der Sande

2021 ◽  
pp. 439-449
Author(s):  
Lu Huang ◽  
Baoguo Yu ◽  
Jun Li ◽  
Heng Zhang ◽  
Shuang Li ◽  
...  

2013 ◽  
Vol 462-463 ◽  
pp. 650-653
Author(s):  
Shao Yuan Li

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 audio player graphical user interface, improves the human-machine interface friendliness and aesthetics greatly.


2019 ◽  
Vol 17 (6) ◽  
pp. 2077-2095 ◽  
Author(s):  
Rishi Sinhal ◽  
Irshad Ahmad Ansari ◽  
Deepak Kumar Jain

2016 ◽  
Vol 50 (3) ◽  
pp. 76-86
Author(s):  
Takeshi Nakamura ◽  
Toshitaka Baba

AbstractWe developed a semi-real-time calculation and data monitoring system that measures pressure perturbations at ocean-bottom pressure-gauge stations deployed off the Kii peninsula in southwest Japan in order to identify tsunami signals associated with earthquakes. The system automatically calculates geodetic deformations and tsunami propagation immediately after getting seismic source information on hypocenter, magnitude, and mechanism. The calculation results for transoceanic tsunamis can be available in approximately 20 s after getting source information to output waveform data by executing the optimized parallel calculation code on our computer server SGI UV2000 with a 32-core processor unit. The system also provides tide-removed and filtered waveform data at ocean-bottom stations, enabling the calculation results to be compared with actual tsunami arrivals. System operations began in July 2015 and have been applied to tsunamigenic earthquakes in the Pacific Ocean. The system is effective in identifying tsunami signals and automatically predicting tsunami propagation in offshore areas, which may be useful for further data analyses on tsunami propagation.


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