The BioVisualSpeech corpus of words with sibilants for speech therapy games development
| Autor: | Nuno Marques, Maxine Eskenazi, João Magalhães, Sofia Martins, Sofia Cavaco, Mariana Ascensão, Ivo Anjos, Margarida Grilo, Isabel Guimarães, Francisco Roque de Oliveira, Alberto Abad |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Speech production
Computer science First language 02 engineering and technology speech sound disorders Sibilant consonants computer.software_genre 030507 speech-language pathology & audiology 03 medical and health sciences European Portuguese Children’s speech corpus 0202 electrical engineering electronic engineering information engineering lcsh:T58.5-58.64 business.industry Sibilant lcsh:Information technology sibilant consonants children’s speech corpus Speech processing language.human_language Serious games for speech and language therapy Word recognition language 020201 artificial intelligence & image processing serious games for speech and language therapy Artificial intelligence Portuguese 0305 other medical science business computer Classifier (UML) Speech sound disorders Natural language processing Information Systems |
| Zdroj: | Information Volume 11 Issue 10 Information, Vol 11, Iss 470, p 470 (2020) |
| Popis: | 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&rsquo 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 developmentand assessment of speech processing toolsfor 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. |
| Databáze: | OpenAIRE |
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