Spectral-Based Analysis and Synthesis of Audio Signals

2011 ◽  
pp. 56-92 ◽  
Author(s):  
Paulo A.A. Esquef ◽  
Luiz W.P. Biscainho
Keyword(s):  
Signal Processing ◽  
Audio Signal ◽  
Parametric Representation ◽  
Sound Generation ◽  
Audio Signal Processing ◽  
Audio Signals ◽  
Sinusoidal Modeling ◽  
Analysis And Synthesis ◽  
Processing Techniques ◽  
Signal Processing Techniques

This chapter reviews audio signal processing techniques related to sound generation via additive synthesis. Particular focus will be put on sinusoidal modeling. Each processing stage involved in obtaining a sinusoidal representation for audio signals is described. Then, synthesis techniques that allow reconstructing an audio signal based on a given parametric representation are presented. Finally, some audio applications where sinusoidal modeling is employed are briefly discussed.

scholarly journals The in-service determination of the presence of distortion in a high quality analogue sound signal

2007 ◽  
Author(s):  
◽  
Stefanus Mare
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Audio Signal ◽  
Digital Signal ◽  
Audio Signals ◽  
High Quality ◽  
Number Of Factors ◽  
Non Stationary Signal ◽  
Processing Techniques ◽  
Signal Processing Techniques

Detecting and minimising distortion in audio signals is an important aspect of sound engineering. Distortion of a signal passing through an audio system may be caused by a number of factors and it is necessary to detect these effects for optimal sound. The problem is of interest to users and operators of high quality audio equipment and transmission facilities. The objective of this thesis was the development of techniques for the blind identification of distortion in a high quality audio signal using digital signal processing techniques. The techniques developed are based on digital signal processing techniques and statistical analysis of a recorded audio signal, which is treated as a random, non-stationary signal.

A field guide to equalisation and dynamics processing on rock and electronica records

Popular Music ◽  
2010 ◽  
Vol 29 (2) ◽  
pp. 283-297 ◽  
Author(s):  
Jay Hodgson
Keyword(s):  
Signal Processing ◽  
Frequency Response ◽  
Knowledge Base ◽  
Audio Signals ◽  
Core Component ◽  
Field Guide ◽  
Audio Engineering ◽  
Common Signal ◽  
Processing Techniques ◽  
Signal Processing Techniques

AbstractThis paper examines two of the most common signal processing techniques, namely, equalisation and dynamics processing. As with all signal processing techniques, equalisation and dynamics processing modify audio signals in particular ways to suit the evolving requirements of a mix. Rock and electronica records currently feature the most extroverted uses for these techniques and, thus, the clearest examples for a field guide like this. It is for this reason, and this reason alone, that I focus on records from these two genres. I begin this field guide by suggesting a definition for ‘signal processing’ which is sufficiently broad to account for every technique that recordists currently use. I then relate that definition to the concept of ‘frequency response’. In my opinion, this concept is crucial to any understanding of signal processing – a core component of the knowledge base for audio engineering, which is the discipline under which signal processing is typically subsumed; the concept of ‘frequency response’ guides many of the decisions about signal processing that recordists make, especially those concerning equalisation. Finally, I explain how equalisation and dynamics processing work, and I offer a field guide to their most common applications on hit rock and electronica records today.

Signal Processing Techniques for Audio and Speech Applications

2011 ◽  
pp. 3457-3461
Author(s):  
Hector Perez-Meana ◽  
Mariko Nakano-Miyatake
Keyword(s):  
Signal Processing ◽  
Copyright Protection ◽  
Digital Signal Processor ◽  
Digital Signal ◽  
Medical Systems ◽  
Audio Signals ◽  
Vlsi Technology ◽  
Transmission Enhancement ◽  
Processing Techniques ◽  
Signal Processing Techniques

Since the apparition of the first standalone digital signal processor (DSP) in 1980, the development of very-largescale integration (VLSI) technology has allowed an impressive improvement on the performance of signal processing devices. This fact has made it possible to implement more efficient systems for storage, transmission, enhancement, protection, and reproduction of speech and audio signals. Some of these successful applications, shown in Table 1, have contributed to improving the performance of communications, storage, and medical systems, as well as security and copyright protection.

scholarly journals Audiovisual Tool for understanding Audio concepts for being used in bachelor’s degree programmes

2016 ◽  
Author(s):  
Jose A. Belloch ◽  
Christian Antoñanzas ◽  
Pablo Gutierrez-Parera ◽  
Mª Angeles Simarro
Keyword(s):  
Signal Processing ◽  
Audio Signal ◽  
Bachelor's Degree ◽  
Audio Signal Processing ◽  
Audio Signals ◽  
Academic Courses ◽  
Practical Session

In the Audio Signal Processing field, there exists difficulties in order to explain different concepts such as, compression, masking, quantization, sampling, among others. Further, most of these concepts require the use of audio laboratories and multiple practical session that must carry out students. Another issue is that there are students that are not able to internalize these concepts straightforwardly and require more practical sessions. In order to address these problems, we have developed an audiovisual tool, designed with Matlab, that can be used for professors and students. This tool allows to analyze, test and apply the audio concepts to real audio signals. The developed tool has been successfully experienced by professors of the audio signal processing field that recommend its use in upcoming academic courses.

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