International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 10 Issue: 05|May2023
p-ISSN: 2395-0072
www.irjet.net
A Novel Method for An Intelligent Based Voice Meeting System Using Machine Learning Dr.Shashikala P1,Vinutha2, Arpita3, Prema4, Priya5 1Professor & Head of the Dept. of Computer Science and Engineering ,Government Engineering College, Raichur ,Karnataka ,India 2-5Students, Dept. of Computer Science and Engineering ,Government Engineering College, Raichur ,Karnataka, India -------------------------------------------------------------------------***------------------------------------------------------------------------
Abstract Human beings express their thoughts and emotions using speech, which is the most powerful form of communication in different languages. The characteristics of speech differ across languages, and even within the same language, each individual's dialect and pace can make it challenging to understand the message conveyed. Speech recognition, a field within computational linguistics, aims to develop technologies that enable the conversion and translation of speech into text. Text summarization, on the other hand, aims to extract the essential information from a text source and provide a brief summary of it. This research proposes a straightforward and effective method for speech recognition that converts speech into corresponding text and produces a summarized version. The proposed method has applications in various fields such as creating lecture notes and summarizing lengthy documents. Extensive experimentation is conducted to verify the effectiveness of the proposed method. In conclusion, the proposed method for speech recognition and summarization offers a straightforward and effective solution for converting speech to text and summarizing the text. With its many potential applications, the proposed method has the potential to improve communication and accessibility for individuals and organizations across various industries.
KeyWords:Speech Summarization, Communication.
Recognition, Text Computational Linguistics,
1. INTRODUCTION The field of text summarization has advanced considerably, with established methods for summarizing single documents and ongoing research into summarizing multiple related documents. This paper explores how these methods can be adapted for speech summarization, taking into account the challenges posed by speech recognition errors and the informal nature of spoken language. While traditional sentence extraction methods cannot be directly applied to speech summarization, there are opportunities to leverage
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additional information from the speech signal and dialog structure to extend extractive methods and develop new approaches for extracting and reformulating specific kinds of information. The paper presents ongoing work at Columbia on summarization for spoken sources such as broadcast news and meetings. The paper also describes a summarization system developed to summarize oral news content. The system uses automatic speech recognition, syntactic analysis, and summarization components to generate text summaries from audio input. However, the absence of sentence boundaries in the recognized text makes the summarization process more complex. To address this, the system employs a syntactic analyzer to identify continuous segments in the recognized text. The system was evaluated using 50 reference articles and compared to sentence summarization in those articles. Evaluation metrics included co-occurrence of n-grams in the reference and generated summaries, as well as reader evaluations of readability and information relevance. Results indicate that the generated summaries provide the same level of information as the reference summaries, but readers noted that phrase summaries can be difficult to understand without the full sentence context.
2. Related Works Article[1] "Ubiquitous Speech Processing" by S. Furui etal. (2001) presents ways for speech- to- textbook and speechto- speech automatic summarization grounded on speech unit birth and consecution. The paper investigates a twostage summarization system for important judgment birth and word- grounded judgment contraction. The proposed styles are estimated by objective and private measures and verified to be effective in robotic speech summarization. Article[2] ”Recent Advances in robotic Speech Recognition and Understanding" by S. Furui( 2003) discusses the most important exploration problems to be answered to achieve ultimate robotic speech recognition systems. The paper also gives an overview of the robotic Speech Corpus and Processing Technology" design,a five- time large- scale public design started in Japan in 1999. The design aimed to increase speech recognition,technology capabilities
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