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Speech Technology Progress Based on New Machine Learning Paradigm

Authors :
Delić, Vlado
Perić, Zoran
Sečujski, Milan
Jakovljević, Nikša
Nikolić, Jelena
Mišković, Dragiša
Simić, Nikola
Suzić, Siniša
Delić, Tijana
Source :
Computational Intelligence and Neuroscience.
Publication Year :
2019
Publisher :
Hindawi, 2019.

Abstract

Speech technologies have been developed for decades as a typical signal processing area, while the last decade has brought a huge progress based on new machine learning paradigms. Owing not only to their intrinsic complexity but also to their relation with cognitive sciences, speech technologies are now viewed as a prime example of interdisciplinary knowledge area. This review article on speech signal analysis and processing, corresponding machine learning algorithms, and applied computational intelligence aims to give an insight into several fields, covering speech production and auditory perception, cognitive aspects of speech communication and language understanding, both speech recognition and text-to-speech synthesis in more details, and consequently the main directions in development of spoken dialogue systems. Additionally, the article discusses the concepts and recent advances in speech signal compression, coding, and transmission, including cognitive speech coding. To conclude, the main intention of this article is to highlight recent achievements and challenges based on new machine learning paradigms that, over the last decade, had an immense impact in the field of speech signal processing.

Subjects

Subjects :
Article Subject

Details

Language :
English
ISSN :
16875265
Database :
OpenAIRE
Journal :
Computational Intelligence and Neuroscience
Accession number :
edsair.hindawi.publ..a2cf152f83c91ceeace5e81945b7c865
Full Text :
https://doi.org/10.1155/2019/4368036