The phoneme set influence for lithuanian speech commands recognition accuracy

Autor:	Mindaugas Greibus, Laimutis Telksnys, Zivile Ringeliene
Rok vydání:	2017
Předmět:	Audio mining Computer science business.industry Speech recognition Acoustic model Speech corpus Rule-based system VoxForge computer.software_genre Phonetic representation Set (abstract data type) Artificial intelligence Hidden Markov model business computer Natural language processing
Zdroj:	2017 Open Conference of Electrical, Electronic and Information Sciences (eStream).
DOI:	10.1109/estream.2017.7950321
Popis:	The phoneme set influence for Lithuanian speech commands recognition accuracy is investigated. Four phoneme sets are discussed. LIEPA speech corpus for training of Acoustic Model is used. The phonetic representation of corpus transcriptions is generated by grapheme-to-phoneme transformation rules. Rule based transformations for Lithuanian language is proposed. Recognition engine with CMU Pocketsphinx decoder is used. Experimental investigation with fixed size test corpus demonstrates that 36 (FZ1.3) phonemes set shows the bests result.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c4ae1a4ec15a39ec238a7f9a26e13f80 https://doi.org/10.1109/estream.2017.7950321 Zobrazit plný text záznamu