• P Kamakshi Thai
• K Vinayak
• M Aparna
• M Madhu sudhan

Most existing voice recognition systems are optimized for Western English accents, often failing to correctly interpret Indian regional pronunciations. Project, AccentBridge, focuses on building an inclusive voice recognition system tailored to Indian accents such as Telugu, Tamil, and Bengali. The system is trained on real voice data from Indian speakers to capture unique acoustic features. By using tools like Python, TensorFlow, and pre-trained models such as Whisper, the project ensures accurate transcription of regional speech. Unlike current systems that misinterpret accents, AccentBridge recognizes and processes them effectively. The project promotes inclusivity in AI by making voice technology accessible to people acrossall regions ofIndia.

Voice Recognition, Indian Accents, Acoustic Models, Speech Recognition, Inclusivity in AI, TensorFlow, Regional Languages

"AccentBridge: Building InclusiveVoice Recognition Systemfor Regional Indian Accents usingAcoustic Models.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 3, page no.d346-d355, March-2026, Available :http://www.jetir.org/papers/JETIR2603340.pdf

"AccentBridge: Building InclusiveVoice Recognition Systemfor Regional Indian Accents usingAcoustic Models.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 3, page no. ppd346-d355, March-2026, Available at : http://www.jetir.org/papers/JETIR2603340.pdf