The DOI matches its Crossref record.
Evaluation of speech intelligibility for children with cleft lip and palate by means of automatic speech recognition
Abstract
Objective Cleft lip and palate (CLP) may cause functional limitations even after adequate surgical and non-surgical treatment, speech disorders being one of them. Interindividually, they vary a lot, showing typical articulation specifics such as nasal emission and shift of articulation and therefore a diminished intelligibility. Until now, an objective means to determine and quantify the intelligibility does not exist. Method An automatic speech recognition system, a new method, was applied on recordings of a standard test to evaluate articulation disorders (psycholinguistic analysis of speech disorders of children PLAKSS) of 31 children at the age of 10.1+/-3.8 years. Two had an isolated cleft lip, 20 a unilateral cleft lip and palate, 4 a bilateral cleft lip and palate, and 5 an isolated cleft palate. The speech recognition system was trained with adults and children without speech disorders and adapted to the speech of children with CLP. In this study, the automatic speech evaluation focussed on the word accuracy which represents the percentage of correctly recognized words. Results were confronted to a perceptive evaluation of intelligibility that was performed by a panel of three experts. Results The automatic speech recognition yielded word accuracies between 1.2 and 75.8% (mean 48.0+/-19.6%). The word accuracy was lowest for children with isolated cleft palate (36.9+/-23.3) and highest for children with isolated cleft lip (72.8+/-2.9). For children with unilateral clef…
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Current speech recognition systems are poorly equipped to process the speech variance and impaired speech intelligibility due to, e.g., oral cancer, cleft lip and palate, or stroke survivors.
“Current speech recognition systems are poorly equipped to process the speech variance and impaired speech intelligibility due to, e.g., oral cancer (Halpern et al. 2020), cleft lip and palate (Schuster et al. 2006) or stroke survivors (Jacks et al. 2019).”
From “Alexa, who am I?”: Voice Assistants and Hermeneutic Lemniscate as the Technologically Mediated Sense-Making (2021) · cites this paper as Schuster et al. 2006
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 26
- Derijcke, 1996, The incidence of oral cleft: a review, Br. J. Oral Maxillofac. Surg., 34, 488, 10.1016/S0266-4356(96)90242-9 · DOI
- Harding, 1996, Characteristics of cleft palate speech, Eur. J. Disord. Commun., 31, 331, 10.3109/13682829609031326 · DOI
- Pamplona, 2000, Linguistic development in cleft palate patients with and without compensatory articulation disorder, Int. J. Pediatr. Otorhinolaryngol., 54, 81, 10.1016/S0165-5876(00)00332-3 · DOI
- Rosanowski, 2002, Phoniatric aspects in cleft lip patients, Facial Plast. Surg., 18, 197, 10.1055/s-2002-33066 · DOI
- Schönweiler, 1996, Untersuchungen zum Spracherwerb bei Kindern mit Spaltbildungen, Folia Phoniatr. Logop., 48, 92, 10.1159/000266390 · DOI
- Schönweiler, 1994, Hörvermögen und Sprachleistungen bei 417 Kindern mit Spaltfehlbildungen, HNO, 42, 691
- Van Lierde, 2004, Vocal quality characteristics in children with cleft palate: a multiparameter approach, J. Voice, 18, 354, 10.1016/j.jvoice.2003.12.006 · DOI
- Chapman, 1998, Conversational skills of preschool and school-age children with cleft lip and palate, Cleft Palate Craniofac. J., 35, 503, 10.1597/1545-1569(1998)035<0503:CSOPAS>2.3.CO;2 · DOI
- Richman, 1982, Psychological characteristics of children with cleft lip and palate: intellectual, achievement, behavioral and personality variables, Cleft Palate J., 19, 249
- Millard, 2001, Different cleft conditions, facial appearance, and speech: relationship to psychological variables, Cleft Palate Craniofac. J., 38, 68, 10.1597/1545-1569(2001)038<0068:DCCFAA>2.0.CO;2 · DOI
- Lohmander, 2004, Methodology for perceptual assessment of speech in patients with cleft palate: a critical review of the literature, Cleft Palate Craniofac. J., 41, 64, 10.1597/02-136 · DOI
- Küttner, 2003, Objektive Messung der Nasalanz in der deutschen Hochlautung, HNO, 51, 151, 10.1007/s00106-002-0708-7 · DOI
- Van Lierde, 2002, Effect of cleft type on overall speech intelligibility and resonance, Folia Phoniatr. Logop., 54, 158, 10.1159/000063411 · DOI
- Hogen Esch, 2004, Objectivating nasality in healthy and velopharyngeal insufficient children with the nasalance acquisition system (Nasal View). Defining minimal required speech tasks assessing normative values for Dutch language, Int. J. Pediatr. Otorhinolaryngol., 68, 1039, 10.1016/j.ijporl.2004.03.011 · DOI
- Bressmann, 1998, Perzeptive und apparative Untersuchung der Stimmqualität bei Patienten mit Lippen-Kiefer-Gaumenspalten, Laryngorhinootologie, 77, 700, 10.1055/s-2007-997227 · DOI
- Heppt, 1991, Nasalanz—ein neuer Begriff der objektiven Nasalitätsanalyse, Laryngo-Rhino-Otol, 70, 169
- E.G. Schukat-Talamazzini, H. Niemann, Das ISADORA-System—ein akustisch-phonetisches Netzwerk zur automatischen Spracherkennung. In: Radig, B., (Ed.), Mustererkennung 1991, vol. 290 Informatik Fachberichte Springer, Berlin, 1991. pp. 251–258. · DOI
- Gallwitz, 1999, Speech recognition—state of the art, applications, and future prospects, Wirtschaftsinformatik, 41, 538, 10.1007/BF03250681 · DOI
- G. Stemmer, C. Hacker, S. Steidl, E. Nöth, Acoustic normalization of children's speech, in: Proceedings of European Conference on Speech Communication and Technology, vol. 2, Geneva, Switzerland, 2003, pp. 1313–1316. · DOI
- Gauvain, 1994, Maximum a-posteriori estimation for Gaussian mixture observations of Markov chains, IEEE Trans. Speech Audio Process., 2, 291, 10.1109/89.279278 · DOI
- Davies, 1982, Measuring agreement for multinomial data, Biometrics, 38, 1047, 10.2307/2529886 · DOI
- Schuster, 2006, Intelligibility of laryngectomees’ substitute speech: automatic speech recognition and subjective rating, Eur. Arch. Otorhinolaryngol., 263, 188, 10.1007/s00405-005-0974-6 · DOI
- Haapanen, 1994, Cleft type and speech proficiency, Folia Phoniatr. Logop., 46, 57, 10.1159/000266293 · DOI
- Wilpon, 1996, A study of speech recognition for children and the elderly, Proc. ICASSP, 349
- Likert, 1932, A technique for the measurement of attitudes, Arch. Psychol., 140, 1
- Spector, 1976, Choosing response categories for summated rating scales, J. Appl. Psychol., 61, 374, 10.1037/0021-9010.61.3.374 · DOI
Cited by
Sorted by citations
Automatic detection of articulation disorders in children with cleft lip and palate
Maier, A., Hönig, F., Bocklet, T., Nöth, E., Stelzle, F., Nkenke, E., & Schuster, M. (2009) · The Journal of the Acoustical Society of America · doi:10.1121/1.3216913 · Cited by 71
Self-citationKudina, O. (2021) · Human Studies · doi:10.1007/s10746-021-09572-9 · Cited by 44
Automatic detection of consonant omission in cleft palate speech
He, L., Wang, X., Zhang, J., Liu, Q., Yin, H., & Lech, M. (2019) · International Journal of Speech Technology · doi:10.1007/s10772-018-09570-w · Cited by 2
Metadata
- Authors
- Schuster, M., Maier, A., Haderlein, T., Nkenke, E., Wohlleben, U., Rosanowski, F., Eysholdt, U., & Nöth, E.
- Affiliations
- Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
- Corresponding author
- Schuster, Maria
- Venue
- International Journal of Pediatric Otorhinolaryngology
- Publisher
- Elsevier BV
- Published
- 2006-10
- Volume
- 70
- Issue
- 10
- Pages
- 1741-1747
- ISSN
- 0165-5876 (ISSN-L)
- OpenAlex
- W2114198624
- Cited by
- 94
- References
- 0
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 5 · 2023: 2 · 2022: 2 · 2021: 11 · 2020: 3 · 2019: 4 · 2018: 5 · 2017: 6 · 2016: 5 · 2015: 7 · 2014: 4 · 2013: 7 · 2012: 5
- FWCI
- 2.65
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Pediatric Otorhinolaryngology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Johannes und Frieda Marohn-Stiftung
- Topics
- Health Sciences › Dentistry › Oral Surgery › Cleft Lip and Palate Research
- Social Sciences › Psychology › Developmental and Educational Psychology › Language Development and Disorders
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Phonetics and Phonology Research
- Keywords
- cleft lip and palate, speech intelligibility, speech recognition, articulation disorders, children, word accuracy, nasal emission, cleft palate, cleft lip
- MeSH terms
- Adolescent, Audiometry, Speech, Child, Child, Preschool, Cleft Lip, Cleft Palate, Female, Humans, Male, Pilot Projects, Regression Analysis, Speech Disorders, Speech Intelligibility
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review