Building A Speech Corpus Of Children With Cochlear Implants Via An Enhanced Metadata Structure

This paper introduces a pilot speech corpus of 8 children with cochlear implant (CI) and proposes an enhanced metadata structure. The corpus is annotated with transcriptions and speech error patterns. A metadata structure for the corpus is proposed based on a meta-analysis of patient-related informa...

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Main Authors: Lee, Seonwoo, Kim, Sunhee, Chung, Minhwa
Format: Conference Proceeding
Language:English
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children with cochlear implant
metadata
patient-related information
speech corpus
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Kim, Sunhee
Chung, Minhwa
description This paper introduces a pilot speech corpus of 8 children with cochlear implant (CI) and proposes an enhanced metadata structure. The corpus is annotated with transcriptions and speech error patterns. A metadata structure for the corpus is proposed based on a meta-analysis of patient-related information included in studies on children with CI and a survey administered to speech and language pathologists asking clinical importance of given information. Then the results of the meta-analysis and the survey are combined to prioritize the patient-related information. The results show that the following elements are highly recommended: chronological age, implantation age, gender, duration of CI use, post-operational hearing threshold, onset time of hearing loss, information about assisting devices, pre-operational hearing threshold, speech perception performance, information about multiple disorders, and information about hearing aid. Particularly, the first four are the elements expected to be included in the speech corpus of children with CI.
doi_str_mv 10.1109/O-COCOSDA202257103.2022.9997935
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ispartof 2022 25th Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA), 2022, p.1-6
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subjects children with cochlear implant
metadata
patient-related information
speech corpus
title Building A Speech Corpus Of Children With Cochlear Implants Via An Enhanced Metadata Structure
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