Courtroom Transcription: A Deep Learning Approach to Legal Terminology and Speaker Identification

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題名:	Courtroom Transcription: A Deep Learning Approach to Legal Terminology and Speaker Identification
作者:	Jhang, Syu-Jhih;Chang, Hsiang-Chuan;Zhang, Qiao-yun;Chang, Chih-Yung
關鍵詞:	Speech Recognition;Legal Terminology;Deep Learning;Role Identification;Error Correction
日期:	2024-07-09
上傳時間:	2024-10-07 12:06:04 (UTC+8)
摘要:	This study develops a deep learning with natural language processing. It focuses on overcoming the limitations of current speech recognition tools, which struggle with legal terminology and identifying different courtroom speakers. By combining advanced audio processing, role identification, and error correction techniques, including a Bert-based model and an N-gram model, the research aims to automate the transcription process more efficiently. This method not only promises to enhance the accuracy of capturing court proceedings but also aims to revolutionize the transcription practices by reducing manual effort and increasing the reliability of legal documents.
顯示於類別:	[資訊工程學系暨研究所] 會議論文

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