Recognition of the Numbers in the Polish Language

Authors

  • Anna Plichta
  • Tomasz Gąciarz
  • Tomasz Krzywdziński

DOI:

https://doi.org/10.26636/jtit.2013.4.1241

Keywords:

Automatic Speech Recognition, Compressed Sensing, Sparse Classification

Abstract

Automatic Speech Recognition is one of the hottest research and application problems in today’s ICT technologies. Huge progress in the development of the intelligent mobile systems needs an implementation of the new services, where users can communicate with devices by sending audio commands. Those systems must be additionally integrated with the highly distributed infrastructures such as computational and mobile clouds, Wireless Sensor Networks (WSNs), and many others. This paper presents the recent research results for the recognition of the separate words and words in short contexts (limited to the numbers) articulated in the Polish language. Compressed Sensing Theory (CST) is applied for the first time as a methodology of speech recognition. The effectiveness of the proposed methodology is justified in numerical tests for both separate words and short sentences.

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Published

2013-12-30

Issue

Section

ARTICLES FROM THIS ISSUE

How to Cite

[1]
A. Plichta, T. Gąciarz, and T. Krzywdziński, “Recognition of the Numbers in the Polish Language”, JTIT, vol. 54, no. 4, pp. 70–78, Dec. 2013, doi: 10.26636/jtit.2013.4.1241.

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