Defining properties of speech spectrogram images to allow effective pre-processing prior to pattern recognition

Al-Darkazali, Mohammed, Young, Rupert, Chatwin, Chris and Birch, Philip (2013) Defining properties of speech spectrogram images to allow effective pre-processing prior to pattern recognition. Proceedings of the SPIE Laser Interactions with Materials, 8748. 87480G. ISSN 0277-786X

Full text not available from this repository.

Abstract

The speech signal of a word is a combination of frequencies which can produce specific transition frequency shapes. These can be regarded as a written text in some unknown ‘script’. Before attempting methods to read the speech spectrogram image using image processing techniques we need first to define the properties of the speech spectrogram image as well as the reduction of the clutter of the spectrogram image and the selection of the methods to be employed for image matching. Thus methods to convert the speech signal to a spectrogram image are initially employed, followed by reduction of the noise in the signal by capturing the energy associated with formants of the speech signal. This is followed by the normalisation of the size of the image and its resolution of in both the frequency and time axes. Finally, template matching methods are employed to recognise portions of text and isolated words. The paper describes the pre-processing methods employed and outlines the use of normalised grey-level correlation for the recognition of words. © (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.

Item Type: Article
Keywords: speech recognition, correlation filter
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Subjects: T Technology
T Technology > TA Engineering (General). Civil engineering (General) > TA0168 Systems engineering
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK6680.5 Digital video. General works
Depositing User: Rupert Young
Date Deposited: 22 Jun 2015 06:34
Last Modified: 22 Jun 2015 06:34
URI: http://sro.sussex.ac.uk/id/eprint/54623
📧 Request an update