Speech Enhancement : Theory and Practice by Philipos C. Loizou

By Philipos C. Loizou

With the proliferation of cellular units and listening to units, together with listening to aids and cochlear implants, there's a transforming into and urgent have to layout algorithms which may increase speech intelligibility with out sacrificing caliber. Responding to this desire, Speech Enhancement: concept and perform, moment version introduces readers to the elemental difficulties of speech enhancement and many of the algorithms proposed to unravel those difficulties. up-to-date and elevated, this moment version of the bestselling textbook broadens its scope to incorporate assessment measures and enhancement algorithms geared toward bettering speech intelligibility.

Fundamentals, Algorithms, evaluate, and destiny Steps

Organized into 4 components, the ebook starts off with a evaluation of the basics had to comprehend and layout greater speech enhancement algorithms. the second one half describes the entire significant enhancement algorithms and, simply because those require an estimate of the noise spectrum, additionally covers noise estimation algorithms. The 3rd a part of the e-book seems on the measures used to evaluate the functionality, when it comes to speech caliber and intelligibility, of speech enhancement tools. It additionally evaluates and compares a number of of the algorithms. The fourth half provides binary masks algorithms for making improvements to speech intelligibility lower than perfect stipulations. furthermore, it indicates steps that may be taken to achieve the total strength of those algorithms lower than lifelike conditions.

What’s New during this Edition

  • Updates in each chapter
  • A new bankruptcy on aim speech intelligibility measures
  • A new bankruptcy on algorithms for making improvements to speech intelligibility
  • Real-world noise recordings (on accompanying CD)
  • MATLAB® code for the implementation of intelligibility measures (on accompanying CD)
  • MATLAB and C/C++ code for the implementation of algorithms to enhance speech intelligibility (on accompanying CD)

Valuable Insights from a Pioneer in Speech Enhancement

Clear and concise, this booklet explores how human listeners atone for acoustic noise in noisy environments. Written by way of a pioneer in speech enhancement and noise aid in cochlear implants, it truly is an important source for a person who desires to enforce or contain the most recent speech enhancement algorithms to enhance the standard and intelligibility of speech degraded by way of noise.

Includes a CD with Code and Recordings

The accompanying CD offers MATLAB implementations of consultant speech enhancement algorithms in addition to speech and noise databases for the evaluate of enhancement algorithms.

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Example text

Note that the first sidelobe of the spectrum of the rectangular window is −13 dB below the peak [3, p. 44]. 1/2)) below the peak and is therefore not detectable. In brief, the windowing function needs to be chosen carefully, depending on the application. The selection of the window should be based on the trade-off between spectral smearing and leakage effects. For the previous example in which we considered the detection of a dominant sinusoid in the presence of a weak amplitude sinusoid, the Hamming windowing function proved to be a better choice.

This chapter describes the many methods proposed to reduce musical noise. Chapter 6 describes the Wiener filtering approach to speech enhancement. It describes the many variations of Wiener filtering that includes iterative and noniterative methods, and the methods derived from constrained and unconstrained optimization of various error criteria. Chapter 7 describes statistical-model-based algorithms for speech enhancement. The problem of estimating the spectrum of the clean signal in noisy environments is posed using a statistical estimation framework.

1 Noise Sources We are surrounded by noise wherever we go. , telephone ringing, sales representatives talking). As these examples illustrate, noise appears in different shapes and forms in daily life. Noise can be stationary, that is, does not change over time, such as the fan noise coming from PCs. Noise can also be nonstationary, such as the restaurant noise, that is, multiple people speaking in the background mixed in some cases with noise emanating from the kitchen. The spectral (and temporal) characteristics of the restaurant noise are constantly changing as people carry on conversations in neighboring tables and as the waiters keep interact and converse with people.

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