Literature DB >> 29628620

Automatic Analysis of Pronunciations for Children with Speech Sound Disorders.

Shiran Dudy1, Steven Bedrick1, Meysam Asgari1, Alexander Kain1.   

Abstract

Computer-Assisted Pronunciation Training (CAPT) systems aim to help a child learn the correct pronunciations of words. However, while there are many online commercial CAPT apps, there is no consensus among Speech Language Therapists (SLPs) or non-professionals about which CAPT systems, if any, work well. The prevailing assumption is that practicing with such programs is less reliable and thus does not provide the feedback necessary to allow children to improve their performance. The most common method for assessing pronunciation performance is the Goodness of Pronunciation (GOP) technique. Our paper proposes two new GOP techniques. We have found that pronunciation models that use explicit knowledge about error pronunciation patterns can lead to more accurate classification whether a phoneme was correctly pronounced or not. We evaluate the proposed pronunciation assessment methods against a baseline state of the art GOP approach, and show that the proposed techniques lead to classification performance that is more similar to that of a human expert.

Entities:  

Keywords:  Goodness of Pronunciation; Speech Recognition; Support Vector Machine; diagnostic tools; educational software; speech disorders

Year:  2017        PMID: 29628620      PMCID: PMC5884147          DOI: 10.1016/j.csl.2017.12.006

Source DB:  PubMed          Journal:  Comput Speech Lang        ISSN: 0885-2308            Impact factor:   1.899


  8 in total

Review 1.  Use of computer-assisted technologies (CAT) to enhance social, communicative, and language development in children with autism spectrum disorders.

Authors:  Bertram O Ploog; Alexa Scharf; DeShawn Nelson; Patricia J Brooks
Journal:  J Autism Dev Disord       Date:  2013-02

2.  Automatic pronunciation error detection in non-native speech: the case of vowel errors in Dutch.

Authors:  Joost van Doremalen; Catia Cucchiarini; Helmer Strik
Journal:  J Acoust Soc Am       Date:  2013-08       Impact factor: 1.840

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Authors:  L F Weigelt; S J Sadoff; J D Miller
Journal:  J Acoust Soc Am       Date:  1990-06       Impact factor: 1.840

Review 4.  Treatment efficacy: functional phonological disorders in children.

Authors:  J A Gierut
Journal:  J Speech Lang Hear Res       Date:  1998-02       Impact factor: 2.297

5.  Phonological oppositions in children: a perceptual study.

Authors:  L W Graham; A S House
Journal:  J Acoust Soc Am       Date:  1971-02       Impact factor: 1.840

6.  Distributional characteristics of VOT in children's voiceless aspirated stops and interpretation of developmental trends.

Authors:  L L Koenig
Journal:  J Speech Lang Hear Res       Date:  2001-10       Impact factor: 2.297

7.  Phonologic error distributions in the Iowa-Nebraska Articulation Norms Project: consonant singletons.

Authors:  A B Smit
Journal:  J Speech Hear Res       Date:  1993-06

8.  Pronunciation analysis for children with speech sound disorders.

Authors:  Shiran Dudy; Meysam Asgari; Alexander Kain
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2015-08
  8 in total
  2 in total

1.  Let's talk about pain and opioids: Low pitch and creak in medical consultations.

Authors:  Peter Joseph Torres; Stephen Gresham Henry; Vaidehi Ramanathan
Journal:  Discourse Stud       Date:  2019-12-19

2.  DIACRITIC-LEVEL PRONUNCIATION ANALYSIS USING PHONOLOGICAL FEATURES.

Authors:  Alexander Kain; Amie Roten; Robert Gale
Journal:  Proc IEEE Int Conf Acoust Speech Signal Process       Date:  2020-05-14
  2 in total

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