PERSONALIZED AUTOMATIC SPEECH RECOGNITION TRAINED ON SMALL DISORDERED SPEECH DATASETS
Jimmy Tobin, Katrin Tomanek
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This study investigates the performance of personalized automatic speech recognition (ASR) for recognizing disordered speech using small amounts of per-speaker adaptation data. We trained personalized models for 195 individuals with different types and severities of speech impairment with training sets ranging in size from