طراحی و جمع‌آوری دادگان گفتاری به‌عنوان گام نخست بومی‌سازی تشخیص هوشمند اوتیسم در کودکان ایرانی
الموضوعات :مریم علیزاده 1 , شیما طبیبیان 2
1 - پژوهشکده فضای مجازی، دانشگاه شهید بهشتی
2 - پژوهشکده فضای مجازی، دانشگاه شهید بهشتی
الکلمات المفتاحية: تشخیص اوتیسم, پردازش گفتار, یادگیری ماشین, دادگان گفتاری, کودکان, زبان فارسی,
ملخص المقالة :
اختلال طیف اوتیسم، نوعی اختلال رشدی به شمار می‌آید که از طریق علائمی مانند ناتوانی در برقراری ارتباط اجتماعی، خود را نشان می‌دهد. بنابراین بارزترین نشانه افراد مبتلا به اوتیسم، اختلال گفتار است. این مقاله در بخش اول به بررسی و مرور مطالعات انجام‌شده برای تشخیص خودکار اوتیسم بر اساس پردازش گفتار افراد مشکوک به ابتلا می‌پردازد. با توجه به بررسی‌های انجام‌شده، رویکردهای اصلی پردازش گفتار برای تشخیص اوتیسم به دو گروه تقسیم می‌شوند. گروه اول با پردازش پاسخ‌ها یا احساسات افراد مورد آزمایش در پاسخ به سؤالات یا داستان پرسشگر، افراد مبتلا به اوتیسم را تشخیص می‌دهند. گروه دوم، افراد مبتلا به اوتیسم را از طریق میزان نرخ دقت بازشناسی گفتارشان در سیستم‌های تشخیص خودکار گفتار از افراد سالم تفکیک می‌کنند. علی‌رغم پژوهش‌های زیاد انجام‌شده در این حوزه در خارج از ایران، پژوهش‌های اندکی داخل ایران انجام شده‌اند که مهم‌ترین دلیل آن، عدم وجود دادگان غنی متناسب با نیازمندی‌های تشخیص اوتیسم مبتنی بر پردازش گفتار افراد مبتلا است. در بخش دوم پژوهش حاضر به روند طراحی، جمع‌آوری و ارزیابی یک مجموعه دادگان گفتاری مستقل از گوینده برای تشخیص اوتیسم در کودکان ایرانی به‌عنوان گام نخست بومی‌سازی حوزه مذکور پرداخته‌ایم.
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