Speech to text conversion and summarization for effective understanding and documentation
- Title
- Speech to text conversion and summarization for effective understanding and documentation
- Creator
- Vinnarasu A.; Jose D.V.
- Description
- Speech, is the most powerful way of communication with which human beings express their thoughts and feelings through different languages. The features of speech differs with each language. However, even while communicating in the same language, the pace and the dialect varies with each person. This creates difficulty in understanding the conveyed message for some people. Sometimes lengthy speeches are also quite difficult to follow due to reasons such as different pronunciation, pace and so on. Speech recognition which is an inter disciplinary field of computational linguistics aids in developing technologies that empowers the recognition and translation of speech into text. Text summarization extracts the utmost important information from a source which is a text and provides the adequate summary of the same. The research work presented in this paper describes an easy and effective method for speech recognition. The speech is converted to the corresponding text and produces summarized text. This has various applications like lecture notes creation, summarizing catalogues for lengthy documents and so on. Extensive experimentation is performed to validate the efficiency of the proposed method. Copyright 2019 Institute of Advanced Engineering and Science. All rights reserved.
- Source
- International Journal of Electrical and Computer Engineering, Vol-9, No. 5, pp. 3642-3648.
- Date
- 2019-01-01
- Publisher
- Institute of Advanced Engineering and Science
- Subject
- Feature extraction; Natural language processing; Natural language toolkit; Speech recognition; Text summarization
- Coverage
- Vinnarasu A., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Jose D.V., Department of Computer Science, CHRIST (Deemed to be University), India
- Rights
- All Open Access; Gold Open Access; Green Open Access
- Relation
- ISSN: 20888708
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Vinnarasu A.; Jose D.V., “Speech to text conversion and summarization for effective understanding and documentation,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/16623.