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- W4327640802 abstract "Autism spectrum disorder (ASD) is one of the fast growing neurodevelopmental disorders across the world. By suitable interventions, their life can be improved a lot. The severity of disease and level of intervention required is different for different persons. Speech given by the ASD people are distorted ones. In this project a distorted Malayalam speech recognition system is developed using Mel-frequency cepstral coefficients(MFCCs) and its derivative features of speech. A Deep neural network is used for recognizing distorted speech. Based on the relevance of words in the life of an autistic patient, level of similarities and difficulties in pronunciation, a distorted Malayalam speech dataset is created. The distorted Malayalam speech recognition system got a Word error rate of 2.8%." @default.
- W4327640802 created "2023-03-18" @default.
- W4327640802 creator A5063743421 @default.
- W4327640802 creator A5078627543 @default.
- W4327640802 date "2022-12-16" @default.
- W4327640802 modified "2023-09-24" @default.
- W4327640802 title "Design and Development of a Speech Recognition System for Autistic People" @default.
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- W4327640802 doi "https://doi.org/10.1109/iprecon55716.2022.10059559" @default.
- W4327640802 hasPublicationYear "2022" @default.
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