We employ the method of fine-tuning wav2vec2. 0 for recognition of phonemes in aphasic
speech. Our effort focuses on data augmentation, by supplementing data from both in …

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 …

As part of the PSST challenge, we explore how data augmentations, data sources, and
model size affect phoneme transcription accuracy on speech produced by individuals with …

Post-stroke speech and language deficits (aphasia) significantly impact patients' quality of
life. Many with mild symptoms remain undiagnosed, and the majority do not receive the …

Welcome to the LREC2022 Workshop on" Resources and ProcessIng of linguistic, para-
linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric …

Aphasia is a language disorder that affects millions of adults worldwide annually; it is most
commonly caused by strokes or neurodegenerative diseases. Anomia, or word finding …

Objective: Speech sound errors are common in people with a variety of communication
disorders and can result in impaired message transmission to listeners. Valid and reliable …

This paper presents a fully automated approach for identifying speech anomalies from voice
recordings to aid in the assessment of speech impairments. By combining Connectionist …

Automatic recognition of aphasic speech is challenging due to various speech-language
impairments associated with aphasia as well as a scarcity of training data appropriate for …

Welcome to the LREC2022 Workshop on" Resources and ProcessIng of linguistic, para-
linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric …