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The TYPALOC Corpus: A Collection of Various Dysarthric Speech Recordings in Read and Spontaneous Styles.

, , , , , , , , , , , and . LREC, European Language Resources Association (ELRA), (2016)

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Automatic Detection of Phone-Based Anomalies in Dysarthric Speech., , and . TACCESS, 6 (3): 9:1-9:24 (2015)Evaluation of a Phone-Based Anomaly Detection Approach for Dysarthric Speech., , and . INTERSPEECH, page 223-227. ISCA, (2016)Automatic Anomaly Detection for Dysarthria across Two Speech Styles: Read vs Spontaneous Speech., , and . LREC, European Language Resources Association (ELRA), (2016)Perceptual evaluation for automatic anomaly detection in disordered speech: Focus on ambiguous cases., , and . Speech Communication, (2018)Automatic Evaluation of Speech Intelligibility Based on I-vectors in the Context of Head and Neck Cancers., , , , and . INTERSPEECH, page 2943-2947. ISCA, (2018)Perceptual and Automatic Evaluations of the Intelligibility of Speech Degraded by Noise Induced Hearing Loss Simulation., , , , , and . INTERSPEECH, page 2953-2957. ISCA, (2018)The TYPALOC Corpus: A Collection of Various Dysarthric Speech Recordings in Read and Spontaneous Styles., , , , , , , , , and 2 other author(s). LREC, European Language Resources Association (ELRA), (2016)Automatic Prediction of Speech Evaluation Metrics for Dysarthric Speech., , , and . INTERSPEECH, page 1834-1838. ISCA, (2017)Carcinologic Speech Severity Index Project: A Database of Speech Disorder Productions to Assess Quality of Life Related to Speech After Cancer., , , , , , , , , and 8 other author(s). LREC, European Language Resources Association (ELRA), (2018)Dysarthric speech evaluation: automatic and perceptual approaches., , and . LREC, European Language Resources Association (ELRA), (2018)