Speech database

Speech database for teaching and assessing speech disorders and phonetics in Ireland

Speech database for teaching and assessing speech disorders and phonetics in Ireland

Project Lead

Alice Lee, Department of Speech and Hearing Sciences, College of Medicine and Health

Project Team Members

Dr. Nicola Bessell, Department of Speech and Hearing Sciences, University College Cork Prof.

Nicole Müller, Department of Speech and Hearing Sciences, University College Cork

Dr. Aileen Wright, School of Allied Health, University of Limerick

Dr. Ciaran Kenny, School of Linguistic, Speech and Communication Sciences, Trinity College Dublin

Dr. Rosemary O’Halpin, School of Linguistic, Speech and Communication Sciences, Trinity College Dublin

Dr. Irena Yanushevskaya, School of Linguistic, Speech and Communication Sciences, Trinity College Dublin; Discipline of Speech and Language Therapy, NUI Galway

Dr. Mary-Pat O’Malley, Discipline of Speech and Language Therapy, NUI Galway

Dr. Jill Titterington, School of Health Sciences, Ulster University

Dr. Orla Duffy, School of Health Sciences, Ulster University

The Teaching Challenge

Auditory-perceptual judgement is a fundamental clinical assessment skill required of speech and language therapists (SLTs). It involves listening to a person’s speech and judging the severity level of speech features present (e.g. hoarse voice, nasalised speech), or using phonetic transcription to document speech errors. Currently, clinical assessment of speech is mostly auditory-perceptual based, and the results of which are applied in differential diagnosis of speech disorders and treatment planning. It has been suggested in the literature that when we listen to speech samples of speech disorders, mental representations of the disordered speech features are formed, and we rely on these mental references to perform auditory-perceptual judgements. In addition, our auditory perception can be affected by our linguistic background. Hence, helping SLT students to develop mental representations of disordered speech features through systematic exposure to a wide range pathological speech samples is essential; however, the materials that are relevant to our context are scarce. Addressing this teaching challenge will benefit various stakeholders including students and teaching staff in the field of SLT and (clinical) phonetics, practising SLTs, and all users of SLT service.

The Project

This project is a first step of an all-Ireland initiative that aims to develop a large-scale online database of typical and disordered speech samples tailored to the particular teaching and assessment needs of the five Irish SLT programmes. In a previous seminar in June 2019 (funded by the T&L National Forum 2018), the present team members discussed the current practice of teaching and assessing SLT students in auditory-perceptual judgement and agreed on the ultimate goal stated above. In this project, we first established on a data collection protocol regarding audio-recording equipment and setting, recording procedure, and speech tasks. The speech tasks include stimuli (e.g. words, sentences, passages) from recognised speech assessments for the following areas: (1) phonetic transcription of English words commonly used for speech assessment; (2) common phonological processes; (3) voice quality; (4) speech disorders associated with cleft palate; and (5) motor speech disorders due to neurological impairments. The team members completed the tasks, forming the typical speech dataset, and simulated speech errors and disorder of voice and resonance. The audio files were annotated using an acoustic analysis software. The products will be available to each team member and may be shared via an online speech corpus sharing platform.

The Impact

The project outputs include a dataset of typical speech and simulated disordered speech and a speech data collection protocol. The speech dataset can be used right away by the team members in teaching. The speech data collection protocol forms a foundation for our future project on developing an online database of speech samples to be collected from children and adults with different speech disorders as well as speech samples from, if applicable, age- and gender-matched typical speakers. The present work addresses the five pillars of UCC 2022: Delivering a Connected University. Pillar one – learning and teaching: as stated above, the speech dataset can be used by the team members in teaching phonetic transcription and auditory-perceptual judgement of speech disorders. Pillar two – research and innovation: the development of the present dataset is based on collaboration with all Irish universities involved in SLT education (practice educators and teaching staff) and input from a student survey. Pillar three – student success: students often request increased exposure to speech samples of different types of speech disorders, but relevant materials are scarce; hence, the present work address the students’ learning needs which in terms promote student success. Pillar four – people and organisational culture: the present project showcases the hard work and creativity of staff members involved in this project. Pillar five – infrastructure and resources: the project outputs form an essential infrastructure and resources in SLT education. During the project, we have communicated about the present initiative with various international specialist research groups, including the Child Speech Disorder Research Network (https://www.nbt.nhs.uk/bristol-speech-language-therapy-research-unit/bsltru-research/child-speech-disorder-research-network), Clinical Phonetics Teaching Network (https://pureportal.strath.ac.uk/en/activities/clinical-phonetics-teaching-network-external-organisation), and DELAD (http://delad.net/) and we have received a lot of interest and queries. We are also presenting this project at a conference, The 18th biennial conference of the International Clinical Phonetics and Linguistics Association, on 23-25 June 2021.

University College Cork

Coláiste na hOllscoile Corcaigh

College Road, Cork T12 K8AF

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