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Current scenario where time is an essential factor of an individual, one always finds it tedious to work on time consuming jobs and hopes for alternatives.This project aims to build models that transcript the video added to it. Sound Classification is one of the most widely used applications in Audio Deep Learning. It involves learning to classify sounds and to predict the category of that sound. This type of problem can be applied to many practical scenarios e.g. classifying music clips to identify the genre of the music, or classifying short utterances by a set of speakers to identify the speaker based on the voice.…mehr

Produktbeschreibung
Current scenario where time is an essential factor of an individual, one always finds it tedious to work on time consuming jobs and hopes for alternatives.This project aims to build models that transcript the video added to it. Sound Classification is one of the most widely used applications in Audio Deep Learning. It involves learning to classify sounds and to predict the category of that sound. This type of problem can be applied to many practical scenarios e.g. classifying music clips to identify the genre of the music, or classifying short utterances by a set of speakers to identify the speaker based on the voice.
Autorenporträt
Dr. Kirti Hemant Wanjale , currently working as Professor in Computer Engineering Department at Vishwakarma Institute of Technology, Pune. She has received her Ph.D degree from Faculty of Computer Engineering from SSSTUMS , Sehore MP. She has 22 years of experience.