وفّر 50٪ من خلال الاشتراك السنوي في مجرة واحصل على تصفح لا محدود لأفضل محتوى عربي على الإنترنت.
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هو مجال فرعي في الذكاء الاصطناعي معني بتعليم الأنظمة الحاسوبية كيفية تفسير وفهم البيانات الصوتية. يمكن أن يتضمن ذلك مهاماً مثل التعرف على الكلام وتحديد هوية المتحدث واكتشاف المصدر الصحيح للصوت.
يعد التعلم الآلي أداة مهمة لتمكين الاستماع الآلي لأنه يمكن أن يساعد الأنظمة على تصفية الضوضاء وتحديد الكلمات وتفسير المعنى الدلالي للكلام، وهذا مهم لتطبيقات عديدة مثل التعرف على الكلام والترجمة الآلية.
تعمل تقنية الاستماع الآلي خلال الخوارزميات التي تتعلم بشكل متكرر من البيانات وتحسن أداء نماذج التعلم الآلي. يتم ذلك من خلال تدريب نماذج التعلم الآلي على مجموعات بيانات كبيرة من الكلام البشري. بحيث يصبح النموذج قابلاً للاستخدام وفهم بيانات الكلام الجديدة.
هناك العديد من مهام الاستماع الآلي المختلفة في الذكاء الاصطناعي، وتشمل ما يلي:
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