Title
The Biovisualspeech Corpus Of Words With Sibilants For Speech Therapy Games Development
Abstract
In order to develop computer tools for speech therapy that reliably classify speech productions, there is a need for speech production corpora that characterize the target population in terms of age, gender, and native language. Apart from including correct speech productions, in order to characterize the target population, the corpora should also include samples from people with speech sound disorders. In addition, the annotation of the data should include information on the correctness of the speech productions. Following these criteria, we collected a corpus that can be used to develop computer tools for speech and language therapy of Portuguese children with sigmatism. The proposed corpus contains European Portuguese children's word productions in which the words have sibilant consonants. The corpus has productions from 356 children from 5 to 9 years of age. Some important characteristics of this corpus, that are relevant to speech and language therapy and computer science research, are that (1) the corpus includes data from children with speech sound disorders; and (2) the productions were annotated according to the criteria of speech and language pathologists, and have information about the speech production errors. These are relevant features for the development and assessment of speech processing tools for speech therapy of Portuguese children. In addition, as an illustration on how to use the corpus, we present three speech therapy games that use a convolutional neural network sibilants classifier trained with data from this corpus and a word recognition module trained on additional children data and calibrated and evaluated with the collected corpus.
Year
DOI
Venue
2020
10.3390/info11100470
INFORMATION
Keywords
DocType
Volume
sibilant consonants, children&#8217, s speech corpus, speech sound disorders, serious games for speech and language therapy
Journal
11
Issue
Citations 
PageRank 
10
0
0.34
References 
Authors
0
11
Name
Order
Citations
PageRank
Sofia Cavaco1168.34
Isabel Guimarães211.37
Mariana Ascensão301.01
Alberto Abad411121.74
Ivo Anjos501.35
Francisco Oliveira600.34
Sofia Martins700.34
Nuno Marques801.01
Maxine Eskenazi9979127.53
João Magalhães1018338.61
Margarida Grilo1102.37