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.

書誌詳細
主要な著者:	Ahmed, Syed Istiaque, Hossain, Md. Jubayer, Hoque, Kayes Mohammad Bin, Tusher, Mahmadur Rahman, Islam, Sajedur
その他の著者:	Alam, Md. Golam Rabiul
フォーマット:	学位論文
言語:	English
出版事項:	Brac University 2024
主題:	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.
オンライン･アクセス:	http://hdl.handle.net/10361/24029

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