Comprehensive analysis and development of deep learning models for Bengali character’s spectrogram image classification in child speech: introduction of spectro SETNet

Comprehensive analysis and development of deep learning models for Bengali character’s spectrogram image classification in child speech: introduction of spectro SETNet

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.

Chi tiết về thư mục
Những tác giả chính: Ahmed, Syed Istiaque, Hossain, Md. Jubayer, Hoque, Kayes Mohammad Bin, Tusher, Mahmadur Rahman, Islam, Sajedur
Tác giả khác: Alam, Md. Golam Rabiul
Định dạng: Luận văn
Ngôn ngữ:English
Được phát hành: Brac University 2024
Những chủ đề:
Automatic speech recognition
Character’s recognition
Deep learning
Mel-frequency spectrogram
Spectro-SETNet
Automatic speech recognition > Data processing.
Deep learning (Machine learning).
Spectrometer > Data processing.
Truy cập trực tuyến:http://hdl.handle.net/10361/24029

Internet

http://hdl.handle.net/10361/24029

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