@inproceedings{gale-etal-2022-post,
title = "The Post-Stroke Speech Transcription ({PSST}) Challenge",
author = "Gale, Robert C. and
Fleegle, Mikala and
Fergadiotis, Gerasimos and
Bedrick, Steven",
editor = "Kokkinakis, Dimitrios and
Themistocleous, Charalambos K. and
Fors, Kristina Lundholm and
Tsanas, Athanasios and
Fraser, Kathleen C.",
booktitle = "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 = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.rapid-1.6",
pages = "41--55",
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.",
}
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%0 Conference Proceedings
%T The Post-Stroke Speech Transcription (PSST) Challenge
%A Gale, Robert C.
%A Fleegle, Mikala
%A Fergadiotis, Gerasimos
%A Bedrick, Steven
%Y Kokkinakis, Dimitrios
%Y Themistocleous, Charalambos K.
%Y Fors, Kristina Lundholm
%Y Tsanas, Athanasios
%Y Fraser, Kathleen C.
%S 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
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F gale-etal-2022-post
%X 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.
%U https://aclanthology.org/2022.rapid-1.6
%P 41-55
Markdown (Informal)
[The Post-Stroke Speech Transcription (PSST) Challenge](https://aclanthology.org/2022.rapid-1.6) (Gale et al., RaPID 2022)
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.