20.500.12556/DKUM-66442 Context-dependent factored language models The incorporation of grammatical information into speech recognition systems is often used to increase performance in morphologically rich languages. However, this introduces demands for sufficiently large training corpora and proper methods of using the additional information. In this paper, we present a method for building factored language models that use data obtained by morphosyntactic tagging. The models use only relevant factors that help to increase performance and ignore data from other factors, thus also reducing the need for large morphosyntactically tagged training corpora. Which data is relevant is determined at run-time, based on the current text segment being estimated, i.e., the context. We show that using a context-dependent model in a two-pass recognition algorithm, the overall speech recognition accuracy in a Broadcast News application improved by 1.73% relatively, while simpler models using the same data achieved only 0.07% improvement. We also present a more detailed error analysis based on lexical features, comparing first-pass and second-pass results. speech recognition factored language model dynamic backoff path word context inflectional language morphosyntactic tags govorne tehnologije razpoznavanje govora avtomatsko razpoznavanje govora true true true Angleški jezik Slovenski jezik Znanstveno delo 2017-06-26 12:36:33 2017-06-26 12:37:40 2022-07-11 03:06:59 2019-07-11 15:47:39 2017 0 0 str. 1-16 Letn. 2017 2017 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 1687-4722 004.934 17964566 20330774 10.1186/s13636-017-0104-6 1687-4722 URN:SI:UM:DK:CKPFRA1L EURASIP_Journal_on_Audio,_Speech,_and_Music_Processing_2017_Donaj,_Kacic_Context-dependent_factored_language_models.pdf EURASIP_Journal_on_Audio,_Speech,_and_Music_Processing_2017_Donaj,_Kacic_Context-dependent_factored_language_models.pdf 1 9BFE3D3D19A9B226FC07011D79E111C4 2bbb09abd78e59151bb1dc611afe0511181696983b16d9a9b5ea4a954cad82aa 4d319d58-7c0e-11eb-bb7a-00155d0001ca https://dk.um.si/Dokument.php?lang=slv&id=113142 http://asmp.eurasipjournals.springeropen.com/articles/10.1186/s13636-017-0104-6 1 https://dk.um.si/Dokument.php?lang=slv&id=113143 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0