Voiced Intelligence: Bridging Speech Recognition with LLM

Drashti Mehta and Rocky Upadhyay

International Journal of Scientific Research in Science and Technology, 2025, vol. 12, issue 6, 232-240

Abstract: Multimodal communication systems are the result of the growing need for user-friendly and accessible human-computer interaction. The design and implementation of a voice-enabled chatbox application that enables user interaction via text and speech modes is shown in this study. In order to produce precise and contextually aware answers, the system uses automated speech recognition (ASR) to handle spoken inquiries. Natural language processing (NLP) techniques are then used to interpret the queries. The program offers flexibility and improves accessibility for users in a variety of contexts by allowing users to type inquiries in addition to using voice input. The option to export the entire chat history in PDF format is a crucial component of the system that allows users to have a permanent and portable record of their interactions. This study investigates the implementation and system architecture. The system architecture, implementation difficulties, and user experience factors are all examined in this study. The system's ability to provide smooth, multimodal communication is demonstrated by experimental evaluation, which also identifies the system's prospective uses in assistive technology, education, and customer service.

Keywords: Chatbot; NLP; TTS Voice selection; ASR (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ijsrst.com/home/article/view/IJSRST25126399 Abstract page (text/html)
https://ijsrst.com/home/article/download/IJSRST25126399/IJSRST25126399 Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:etm:ijsrst:v12:y2025:i6:id:1275

DOI: 10.32628/IJSRST25126399

Access Statistics for this article

More articles in International Journal of Scientific Research in Science and Technology from Technoscience Academy
Bibliographic data for series maintained by Pankaj Sharma ().