System for communicating and understanding spoken language in multiple languages using artificial intelligence-based speech recognition, has speech recognition module for using deep learning-based automatic speech recognition and language identification models
	BHARATHI S K
	2025-03-29
专利权人	CVR COLLEGE ENG (CVRC-Non-standard)
申请日期	2025-03-29
专利号	IN202541030774-A
成果简介	NOVELTY - The system has a speech recognition module for using deep learning-based automatic speech recognition (ASR) and language identification models to convert speech to text by ensuring phonetic precision and contextual nuances in a speech with different languages. An NLP and intent detection system uses transformer-based models for performing intent classification, named entity recognition, and context tracking in multi-lingual chatbots to improve dialogue management. An expressive multi-lingual TTS synthesis engine is mounted with prosody adjustment, intonation control, and emotion-aware speech adaptation to produce natural-sounding responses for better user experience and user hands-on piping quality. USE - System for communicating and understanding spoken language in multiple languages using artificial intelligence-based speech recognition, neural machine translation, natural language processing (NLP), and text to-speech (TTS) synthesis in real-world industries and applications e.g. cross-border communication, customer service, health care, education, and business applications. ADVANTAGE - The system utilizes edge computing and federated learning to enhance real-time processing while maintaining data privacy, thus improving translation accuracy and response generation using a continuous learning mechanism based on user feedback. The system allows users to arrive at a proper match through dialog in a rapid and simple manner to understand through detailed translations associated with particular proficiency levels within the dialog, thus allowing users to achieve human-like conversational fluency. DESCRIPTION OF DRAWING(S) - The drawing shows a block diagram of a system for communicating and understanding spoken language in multiple languages using artificial intelligence-based speech recognition.
IPC 分类号	G06F-040/263 ; G06F-040/58 ; G10L-013/00 ; G10L-015/22 ; G10L-015/26
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/13382
专题	中国科学院新疆生态与地理研究所
作者单位	CVR COLLEGE ENG (CVRC-Non-standard)
推荐引用方式 GB/T 7714	BHARATHI S K. System for communicating and understanding spoken language in multiple languages using artificial intelligence-based speech recognition, has speech recognition module for using deep learning-based automatic speech recognition and language identification models. IN202541030774-A[P]. 2025.

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