Speech Recognition Based on Open Source Speech Processing Software

Abstract

Abstract. Creating of speech recognition application requires advanced speech processing techniques realized by specialized speech processing software. It is very possible to improve the speech recognition research by using frameworks based on open source speech processing software. The article presents the possibility of using open source speech processing software to construct own speech recognition application.

Statistical analysis of orthographic and phonemic language corpus for word-based and phoneme-based Polish language modelling

“…The examination of occurrence frequency in 95 languages, presented in the literature [51], shows that phoneme frequencies are best described by an equation first developed by Yule, that also describes the distribution of DNA codons [54]. The frequency of the phoneme occurrence in a language is described well by Yule's equation formula [51]: (10) where Y r is the frequency of the phoneme ranked r, and r is the rank of the phoneme if frequencies are ranked from the most frequent (r = 1) to the least frequent (r = n), and a, b and c are parameters to be estimated from the obtained statistical data.…”

“…Additionally, Correspondence: pklosowski@polsl.pl Department of Electronics, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland research studies have been conducted in the field of properties of Polish phonemes [8,9], speech recognition based on it [10], speaker recognition [11,12], speaker verification [13][14][15], and new applications of speech recognition, e.g., automatic speech translation [16].…”

A Rule-Based Grapheme-to-Phoneme Conversion System

“…The main goal of research on the conversion of graphemes to phonemes is improving speech recognition for the Polish language [5,6]. In addition, research studies have been conducted on the phonetic properties of Polish phonemes [7,8], speech recognition based on such analyses [9], speaker recognition [10][11][12][13][14] and new applications of speech and language processing (e.g., speech translation) [15]. Particularly good results in speech recognition are achieved through the use of statistical language models [16][17][18][19].…”

Archives of Acoustics

“…Prior to that study, the phonology of Polish was described in many sources (e.g., Gussmann, 2007;Jassem, 2003;Oliver, Szklanny, 2006). It should also be noted that much effort was performed by several Polish and Lithuanian research centers aiming at speech recognition, a few examples of which are given in here: (Kłosowski et al, 2014), analysis of acoustics speech properties (Izydorczyk, Kłosowski, 2001), adaptation of foreign language speech recognition engines for Lithuanian speech recognition (Rudzionis et al, 2009;Kasparaitis, 2008), development of phonemic language corpus for Polish (Kłosowski, 2017) by employing automatic grapheme-to-phoneme conversion of the source orthographic language corpus, obtained from the National Corpus of Polish (NCP) (Przepiórkowski et al, 2012), creating Polish phoneme statistics (Ziółko et al, 2009;2014), etc.…”