Signal Processing Techniques for Audio and Speech Applications

Signal Processing Techniques for Audio and Speech Applications

Hector Perez-Meana (National Polytechnic Institute, Mexico) and Mariko Nakano-Miyatake (National Polytechnic Institute, Mexico)
DOI: 10.4018/978-1-60566-026-4.ch549
OnDemand PDF Download:
$37.50

Abstract

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.
Chapter Preview
Top

Introduction

Since the apparition of the first standalone digital signal processor (DSP) in 1980, the development of very-large-scale 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.

Table 1.
Main audio and speech signal processing applications
• Echo cancellation in telecommunication systems
• Acoustic echo cancellation
• Noise canceling
• Adaptive equalization
• Narrowband speech coding
• Broadband audio and speech coding
• Medical applications
• Watermarking
Top

Review Of Main Signal Processing Applications In Speech And Audio Fields

As mentioned before, the signal processing applications in speech and audio fields have increased, contributing to the solution of many important problems, constituting an important part of many practical systems. To understand the importance of this technology and how it has contributed in the development of audio and speech fields, this section provides a review of some successful signal processing systems.

Key Terms in this Chapter

Anti-Noise: Estimated replica of acoustic noise generated by an active noise canceller system, which is used to cancel an environmental noise.

Alaryngeal Speech: Speech produced by persons whose larynx and vocal cords have been extracted by a surgical operation.

Signal Compression: Signal coding that allows a reduction of the total number of bits required to represent a given signal without distortion or with negligible distortion.

Adaptive Algorithm: Method used to modify the filter coefficients, online, in order to minimize the power of an adaptive filter output error.

Digital Watermarking: A technique used to embed a collection of bits into a host signal in such a way that the watermark remains imperceptible to the users.

Complete Chapter List

Search this Book:
Reset