Recent Advances in Robust Speech Recognition Technology


Javier Ramírez, Juan Manuel Górriz

DOI: 10.2174/9781608051724111010
eISBN: 978-1-60805-172-4, 2011
ISBN: 978-1-60805-389-6

Indexed in: Scopus, EBSCO.

This E-book is a collection of articles that describe advances in speech recognition technology. Robustness in speech recognition refe...[view complete introduction]
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Speech Enhancement Algorithms: A Survey

- Pp. 60-102 (43)

Philipos C. Loizou


The need to remove or suppress acoustic noise arises in many situations in which the voice signal originates from a noisy location or is affected by noise over a communication channel. This Chapter presents an up-to-date coverage of all major noise suppression algorithms proposed over the past two decades including spectral subtractive algorithms, Wiener filtering, statistical-model based algorithms and subspace algorithms. It presents a comprehensive evaluation and comparison of major enhancement algorithms in terms of speech quality and speech intelligibility. Finally, this hapter concludes with a description of major objective measures used for predicting the subjective quality and intelligibility of noise-suppressed speech.

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