Statistical analysis of Polish language corpus for speech recognition application

Kłosowski, Piotr

doi:10.1109/spa.2016.7763632

Cited by 4 publications

(3 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Automatic grapheme-to-phoneme conversion allows creating large phonemic language corpora from orthographic language corpora. A phonemic language corpus for Polish was developed by the author using automatic grapheme-to-phoneme conversion of an orthographic language corpus, in order to be able to perform statistical phonological analysis of the Polish language, and to develop phoneme-based statistical language models for Polish to improve automatic speech recognition [17][18][19].…”

Section: An Example Fragment Of An Output File Containing Phoneme Tra...mentioning

confidence: 99%

“…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]. However, currently the field of language modelling is shifting from statistical methods to neural networks and deep learning methods [20,21].…”

Section: Introductionmentioning

confidence: 99%

“…• Performing a better and more detailed statistical analysis of the Polish language based on the phonemic language corpus developed [17,19]; • Developing more efficient word-based and phoneme-based statistical language models for speech recognition applications in Polish [18,19]; • Application of deep learning methods to language modelling and speech recognition [20,21].…”

mentioning

confidence: 99%

See 2 more Smart Citations

A Rule-Based Grapheme-to-Phoneme Conversion System

Kłosowski

2022

Applied Sciences

View full text Add to dashboard Cite

This article presents a rule-based grapheme-to-phoneme conversion method and algorithm for Polish. It should be noted that the fundamental grapheme-to-phoneme conversion rules have been developed by Maria Steffen-Batóg and presented in her set of monographs dedicated to the automatic grapheme-to-phoneme conversion of texts in Polish. The author used previously developed rules and independently developed the grapheme-to-phoneme conversion algorithm.The algorithm has been implemented as a software application called TransFon, which allows the user to convert any text in Polish orthography to corresponding strings of phonemes, in phonemic transcription. Using TransFon, a phonemic Polish language corpus was created out of an orthographic corpus. The phonemic language corpusallows statistical analysis of the Polish language, as well as the development of phoneme- and word-based language models for automatic speech recognition using statistical methods. The developed phonemic language corpus opens up further opportunities for research to improve automatic speech recognition in Polish. The development of statistical methods for speech recognition and language modelling requires access to large language corpora, including phonemic corpora. The method presented here enables the creation of such corpora.

show abstract

Section: An Example Fragment Of An Output File Containing Phoneme Tra...mentioning

confidence: 99%