LEADER 02264nam 2200409 450 001 9910815363403321 005 20230809235055.0 010 $a3-8325-9263-6 035 $a(CKB)4340000000242311 035 $a(MiAaPQ)EBC5216270 035 $a5c7aad7d-8110-4a28-b515-7583b0dd2d03 035 $a(EXLCZ)994340000000242311 100 $a20180521d2017 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAutomatic assessment of prosody in second language learning /$fFlorian Ho?nig 210 1$aBerlin :$cLogos Verlag,$d[2017] 210 4$dİ2017 215 $a1 online resource (264 pages) 225 0 $aStudien zur Mustererkennung 300 $aPublicationDate: 20171123 311 $a3-8325-4567-0 330 $aLong description: Worldwide there is a universal need for second language language learning. It is obvious that the computer can be a great help for this, especially when equipped with methods for automatically assessing the learner's pronunciation. While assessment of segmental pronunciation quality (i. ,e. whether phones and words are pronounced correctly or not) is already available in commercial software packages, prosody (i.e. rhythm, word accent, etc.) is largely ignored---although it highly impacts intelligibility and listening effort. The present thesis contributes to closing this gap by developing and analyzing methods for automatically assessing the prosody of non-native speakers. We study the detection of word accent errors and the general assessment of the appropriateness of a speaker's rhythm. We propose a flexible, generic approach that is (a) very successful on these tasks, (b) competitive to other state-of-the-art result, and at the same time (c) flexible and easily adapted to new tasks. 606 $aSecond language acquisition$xAbility. testing 615 0$aSecond language acquisition$xAbility. testing. 676 $a418.0076 700 $aHo?nig$b Florian$01651263 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910815363403321 996 $aAutomatic assessment of prosody in second language learning$94001100 997 $aUNINA