Work

AI-Driven Voice Transcription with Multilingual Support and Summarization

Year: 2025
Type: article
Abstract: : This paper presents an AI-powered platform for real-time voice transcription and multilingual summarization, aimed at streamlining communication and documentation in global collaborative settings. The system combines cutting-edge Artificial Intelligence and Natural Language Processing to accurately transcribe speech, extract critical information, and generate clear, context-aware summaries across multiple languages. Utilizing OpenAI's Whisper for speech recognition, the platform integrates sentiment analysis, topic modeling, and both extractive and abstractive summarization methods. A built-in translation engine enables seamless cross-language understanding, supporting diverse teams and user groups. Applicable in domains such as business, education, healthcare, and public administration, the system minimizes manual workload while improving information accuracy and accessibility.
Language: English
Open Access status: diamond
OpenAlex ID: W4409836467
FWCI:
Cites:
Cited by:
Related to: 10