Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM65504

A Real-Time Conversational AI Voice Agent with Intelligent Speech Processing

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM65504

Volume:

10 |

6 |

Jun 2026

Pages:

1-7

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM65504

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Share this article:

Authors

SANIKA RAJESH DHAGE

SANIKA RAJESH DHAGE

Department of Computer Science

JSPM University,Wagholi, Pune

Download Author Certificate

Mentors

DA

Dr.Arshiya A.Khan

Department of Computer Science

JSPM University,Wagholi, Pune

Download Mentor Certificate

Author Services & Downloads

Full ArticlesAcceptance Certificate

Abstract

This paper presents the design and development of a real-time AI-based voice agent system that can handle live voice conversations accurately and with minimal delay. The system uses a browser-based interface for easy user interaction and FastAPI as the backend framework to manage communication and processing tasks. Real-time audio streaming and processing are managed through a dedicated agent built on LiveKit. The system integrates the Google Gemini Realtime API for speech recognition and intelligent response generation. It also supports continuous streaming of logs, conversation transcripts, and system updates using Server-Sent Events (SSE). The architecture is designed to be modular, scalable, and efficient, making it suitable for applications such as AI assistants, customer support services, and other voice-based interactive systems.

KEYWORDS

AI Voice Agent

Cite This Article

SANIKA RAJESH DHAGE, Dr.Arshiya A.Khan, "A Real-Time Conversational AI Voice Agent with Intelligent Speech Processing," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 6, pp. 1-7, Jun 2026. https://doi.org/10.55041/IJSREM65504

Full Article/Conclusion

The proposed real-time AI voice assistant successfully combines speech recognition, intelligent response generation, and noise reduction into a single system. It overcomes many limitations of traditional voice-based systems by providing fast, reliable, and real-time communication. By using technologies such as FastAPI, LiveKit, Silero VAD, and the Google Gemini API, the system is able to process voice input accurately and generate responses with minimal delay. This makes it suitable for various applications, including virtual assistants, customer support services, and interactive voice-based platforms. The system performs effectively even in noisy environments, improving the overall user experience. Its scalable and flexible design also provides a strong foundation for future improvements and the addition of more advanced features.

References

[1]      X. Yu, Y. Ju, X. Yuan, L. Yang and H. Zhang, "A Multi-Speaker Speech Processing System for Dialect- Rich Environments with LLM-Based Optimization," 2025 9th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC), Beijing, China, 2025, pp. 213-217, doi: 10.1109/IC- NIDC67200.2025.11390222. [2]      H. Jafarzadeh Asl, M. Ghazvini Nejad, A. Edraki, M. Asgharian and V. Partovi Nia, "Tiny Noise-Robust Voice Activity Detector for Voice Assistants," 2025 IEEE 35th International Workshop on Machine Learning for Signal Processing (MLSP), Istanbul,     Turkiye,          2025,          pp.          1-6,           doi:10.1109/MLSP62443.2025.11204268.  keywords: {Voice activity detection;Accuracy;Personal voice assistants;Transforms;Noise robustness;Background noise;Human voice;Noise measurement;Internet of Things;Smart glasses;Noise Robustness;SpeechRecognition;Voice activity Detection},I. S. Jacobs and C. P. Bean, “Fine particles, thin films and exchange anisotropy,” in Magnetism, vol. III, G. T. Rado and H. Suhl, Eds. New York: Academic, 1963, pp. 271–350. [3]      M. Yamano, Z. Song and J. Hoshino, "Augmenting the Social Presence of Interactive Characters Using Real- time Speech Recognition," 2022 Nicograph International (NicoInt), Tokyo, Japan, 2022, pp. 85-88, doi: 10.1109/NicoInt55861.2022.00024. [4]      K. N., R. V., S. S. S. and D. R., "Intelligent Personal Assistant - Implementing Voice Commands enabling Speech Recognition," 2020 International Conference on System, Computation, Automation and Networking (ICSCAN), Pondicherry, India, 2020, pp. 1-5, doi: 10.1109/ICSCAN49426.2020.9262279. [5]      R. Manimegalai, M. Shobana, C. Rajesh, C. Parthasarathy, A. V. Sriharsha and T. D. Kumar, "Adaptive Emotion-Aware Speech Synthesis on Edge Devices: A Lightweight Dynamic Model Adaptation Framework using LoRA and OnDevice Fine-Tuning," 2026 International Conference on Electronics and Renewable Systems (ICEARS), Tuticorin, India, 2026, pp. 1513-1520, doi: 10.1109/ICEARS67481.2026.11416528.   keywords: {Training;Adaptation models;Renewable energy sources;Quantization (signal);Speech enhancement;Real-time systems;Physiology;Speech synthesis;Reliability;Robots;Speech Synthesis;Edge Devices;Low-Rank Adaptation;Lightweight Neural Adapters;On-Device Learning}

Editorial & Review Transparency

Publication Date

6/25/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

0

Total views since publication

PDF Downloads

4

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

Funding Information

No funding information available for this research.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...