IN2013MU03833A - - Google Patents

Info

Publication number
IN2013MU03833A
IN2013MU03833A IN3833MU2013A IN2013MU03833A IN 2013MU03833 A IN2013MU03833 A IN 2013MU03833A IN 3833MU2013 A IN3833MU2013 A IN 3833MU2013A IN 2013MU03833 A IN2013MU03833 A IN 2013MU03833A
Authority
IN
India
Prior art keywords
features
noise data
classification
noise
respect
Prior art date
Application number
Inventor
Ramu Reddy Vempada
Aniruddha Sinha
Guruprasad Seshadri
Original Assignee
Tata Consultancy Services Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Tata Consultancy Services Ltd filed Critical Tata Consultancy Services Ltd
Priority to PCT/IB2014/066538 priority Critical patent/WO2015083091A2/en
Priority to EP14867853.5A priority patent/EP3078026B1/en
Priority to IN3833MU2013 priority patent/IN2013MU03833A/en
Priority to US15/101,817 priority patent/US10134423B2/en
Publication of IN2013MU03833A publication Critical patent/IN2013MU03833A/en

Links

Classifications

    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
    • G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
    • G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
    • G10L25/03—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the type of extracted parameters
    • G10L25/09—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the type of extracted parameters the extracted parameters being zero crossing rates
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
    • G10L25/03—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the type of extracted parameters
    • G10L25/24—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the type of extracted parameters the extracted parameters being the cepstrum
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/213—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
    • G06F18/2132—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods based on discrimination criteria, e.g. discriminant analysis

Landscapes

  • Engineering & Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Signal Processing (AREA)
  • Health & Medical Sciences (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • Acoustics & Sound (AREA)
  • Multimedia (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)

Abstract

System(s) and method(s) for classifying noise data of human crowd are disclosed. Noise data is captured from one or more sources and features are extracted by using computation techniques. The features comprise spectral domain features and time domain features. Classification models are developed by using each of the spectral domain features and the time domain features. Discriminative information with respect to the noise data is extracted by using the classification models. A performance matrix is computed for each of the classification model. The performance matrix comprises classified noise elements with respect to the noise data. Each classified noise element is associated with a classification performance score with respect to a spectral domain feature, a time domain feature, and fusion of features and scores. The classified noise elements provide the classification of the noise data. [To be published with figure 3]
IN3833MU2013 2013-12-06 2014-12-03 IN2013MU03833A (en)

Priority Applications (4)

Application Number Priority Date Filing Date Title
PCT/IB2014/066538 WO2015083091A2 (en) 2013-12-06 2014-12-03 System and method to provide classification of noise data of human crowd
EP14867853.5A EP3078026B1 (en) 2013-12-06 2014-12-03 System and method to provide classification of noise data of human crowd
IN3833MU2013 IN2013MU03833A (en) 2013-12-06 2014-12-03
US15/101,817 US10134423B2 (en) 2013-12-06 2014-12-03 System and method to provide classification of noise data of human crowd

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
IN3833MU2013 IN2013MU03833A (en) 2013-12-06 2014-12-03

Publications (1)

Publication Number Publication Date
IN2013MU03833A true IN2013MU03833A (en) 2015-07-31

Family

ID=53274234

Family Applications (1)

Application Number Title Priority Date Filing Date
IN3833MU2013 IN2013MU03833A (en) 2013-12-06 2014-12-03

Country Status (4)

Country Link
US (1) US10134423B2 (en)
EP (1) EP3078026B1 (en)
IN (1) IN2013MU03833A (en)
WO (1) WO2015083091A2 (en)

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CN109801638B (en) * 2019-01-24 2023-10-13 平安科技（深圳）有限公司 Voice verification method, device, computer equipment and storage medium
KR102300599B1 (en) * 2020-01-31 2021-09-08 연세대학교 산학협력단 Method and Apparatus for Determining Stress in Speech Signal Using Weight
CN111370025A (en) * 2020-02-25 2020-07-03 广州酷狗计算机科技有限公司 Audio recognition method and device and computer storage medium
CN112233694B (en) * 2020-10-10 2024-03-05 中国电子科技集团公司第三研究所 Target identification method and device, storage medium and electronic equipment
CN113011568A (en) * 2021-03-31 2021-06-22 华为技术有限公司 Model training method, data processing method and equipment
CN113257266B (en) * 2021-05-21 2021-12-24 特斯联科技集团有限公司 Complex environment access control method and device based on voiceprint multi-feature fusion
CN114724549B (en) * 2022-06-09 2022-09-06 广州声博士声学技术有限公司 Intelligent identification method, device, equipment and storage medium for environmental noise

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US7668790B2 (en) * 2006-07-27 2010-02-23 The United States Of America As Represented By The Secretary Of The Navy System and method for fusing data from different information sources with shared-sampling distribution based boosting
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Also Published As

Publication number Publication date
EP3078026A2 (en) 2016-10-12
EP3078026B1 (en) 2022-11-16
WO2015083091A3 (en) 2015-09-24
EP3078026A4 (en) 2017-05-17
US10134423B2 (en) 2018-11-20
US20160307582A1 (en) 2016-10-20
WO2015083091A2 (en) 2015-06-11

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