System for detecting voice gender using gaussian mixture models, has typical gender recognition system that is divided into front-end system and back-end system, where front-end system extracts gender related information from a speech signal and represents by set of vectors called feature
	SIVARAMAN; NAVEEN R; SIVANI R; JHA P K; GANESH R; JYOTHI S B N
	2023-10-16
专利权人	SIVANI R (SIVA-Individual) ; JHA P K (JHAP-Individual) ; GANESH R (GANE-Individual) ; JYOTHI S B N (JYOT-Individual)
申请日期	2023-10-16
专利号	IN202341069592-A
成果简介	NOVELTY - The system has a typical gender recognition system that is divided into a front-end system and a back-end system. The front-end system extracts gender related information from a speech signal and represents by a set of vectors called feature. Features like energy, ZCR, MFCC and Entropy, where the feature is extracted using Gaussian Mixture Model (GMM) algorithm. The backend system creates a gender model to recognize the gender from speech signal in recognition phase. The backend system extracts frequency at maximum power of the audio from an estimated power spectrum, where the system uses GMM technique as an identification tool. USE - System for detecting voice gender using gaussian mixture models. ADVANTAGE - The system presents processing of a speech signals which are taken from 50 people.
IPC 分类号	G06K-009/62 ; G10L-015/02 ; G10L-017/04 ; G10L-025/24 ; G10L-025/78
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/19564
专题	中国科学院新疆生态与地理研究所
作者单位	1.SIVANI R (SIVA-Individual) 2.JHA P K (JHAP-Individual) 3.GANESH R (GANE-Individual) 4.JYOTHI S B N (JYOT-Individual)
推荐引用方式 GB/T 7714	SIVARAMAN,NAVEEN R,SIVANI R,et al. System for detecting voice gender using gaussian mixture models, has typical gender recognition system that is divided into front-end system and back-end system, where front-end system extracts gender related information from a speech signal and represents by set of vectors called feature. IN202341069592-A[P]. 2023.

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