---
title: "SPARC: An AI-Based Speech Processing and Real-Time Correction System"
authors:
  - "TingRay Chung"
  - "Pin-Yu Chen"
doi: "10.24963/ijcai.2025/1253"
url: "https://ijcai.org/proceedings/2025/1253"
pdf: "https://ijcai.org/proceedings/2025/1253.pdf"
venue: "Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence"
year: 2025
pages: "11017-11020"
track: "Demo Track"
keywords:
  - "Humans and AI: HAI: Intelligent user interfaces"
  - "Humans and AI: HAI: Applications"
---

# SPARC: An AI-Based Speech Processing and Real-Time Correction System

TingRay Chung, Pin-Yu Chen

*Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence*, pages 11017-11020. DOI: [10.24963/ijcai.2025/1253](https://doi.org/10.24963/ijcai.2025/1253)

## Abstract

In the world of audio narration and video production, maintaining clear and accurate dialogue is crucial.  However, most work done in dubbing mistakes is done in post-production which is often not applicable to live broadcasts. This project aims to develop a real-time voice correction system that automatically detects and corrects speech errors in near real-time while integrating the adjusted audio into ongoing conversations without disrupting the natural flow. This paper utilizes various AI tools like the Nous Hermes 2-Mistral 7B DPO large language model to first generate the reference script for Coqui's XTTS-V2 zero-shot text-to-speech voice cloning model. After the correction is generated, it goes through a series of filters to replace the mistake and seamlessly integrates it. The experiment's user survey demonstrates that the corrected audio is of high quality.