The Post-Stroke Speech Transcription (PSST) Challenge

Robert C. Gale, Mikala Fleegle, Gerasimos Fergadiotis, Steven Bedrick


Abstract
We present the outcome of the Post-Stroke Speech Transcription (PSST) challenge. For the challenge, we prepared a new data resource of responses to two confrontation naming tests found in AphasiaBank, extracting audio and adding new phonemic transcripts for each response. The challenge consisted of two tasks. Task A asked challengers to build an automatic speech recognizer (ASR) for phonemic transcription of the PSST samples, evaluated in terms of phoneme error rate (PER) as well as a finer-grained metric derived from phonological feature theory, feature error rate (FER). The best model had a 9.9% FER / 20.0% PER, improving on our baseline by a relative 18% and 24%, respectively. Task B approximated a downstream assessment task, asking challengers to identify whether each recording contained a correctly pronounced target word. Challengers were unable to improve on the baseline algorithm; however, using this algorithm with the improved transcripts from Task A resulted in 92.8% accuracy / 0.921 F1, a relative improvement of 2.8% and 3.3%, respectively.
Anthology ID:
2022.rapid-1.6
Volume:
Proceedings of the RaPID Workshop - Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric/developmental impairments - within the 13th Language Resources and Evaluation Conference
Month:
June
Year:
2022
Address:
Marseille, France
Venue:
RaPID
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
41–55
Language:
URL:
https://aclanthology.org/2022.rapid-1.6
DOI:
Bibkey:
Cite (ACL):
Robert C. Gale, Mikala Fleegle, Gerasimos Fergadiotis, and Steven Bedrick. 2022. The Post-Stroke Speech Transcription (PSST) Challenge. In Proceedings of the RaPID Workshop - Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric/developmental impairments - within the 13th Language Resources and Evaluation Conference, pages 41–55, Marseille, France. European Language Resources Association.
Cite (Informal):
The Post-Stroke Speech Transcription (PSST) Challenge (Gale et al., RaPID 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.rapid-1.6.pdf
Code
 psst-challenge/psstbaseline
Data
LibriSpeech