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ATE347161T1 - Rauschrobuste mustererkennung - Google Patents

Rauschrobuste mustererkennung

Info

Publication number
ATE347161T1
ATE347161T1 AT01124141T AT01124141T ATE347161T1 AT E347161 T1 ATE347161 T1 AT E347161T1 AT 01124141 T AT01124141 T AT 01124141T AT 01124141 T AT01124141 T AT 01124141T AT E347161 T1 ATE347161 T1 AT E347161T1
Authority
AT
Austria
Prior art keywords
noise
pattern recognition
training
signal
recognition model
Prior art date
Application number
AT01124141T
Other languages
English (en)
Inventor
Li Deng
Xuedong Huang
Michael D Plumpe
Original Assignee
Microsoft Corp
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 Microsoft Corp filed Critical Microsoft Corp
Application granted granted Critical
Publication of ATE347161T1 publication Critical patent/ATE347161T1/de

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
    • G10L21/00—Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
    • G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
    • G10L21/0208—Noise filtering
    • 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
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • 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
    • G10L15/00—Speech recognition
    • G10L15/06—Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
    • 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
    • G10L15/00—Speech recognition
    • G10L15/20—Speech recognition techniques specially adapted for robustness in adverse environments, e.g. in noise, of stress induced speech
    • 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
    • G10L21/00—Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
    • G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
    • G10L21/0208—Noise filtering
    • G10L21/0216—Noise filtering characterised by the method used for estimating noise

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Acoustics & Sound (AREA)
  • Human Computer Interaction (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Health & Medical Sciences (AREA)
  • Computational Linguistics (AREA)
  • Theoretical Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Data Mining & Analysis (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Evolutionary Biology (AREA)
  • Quality & Reliability (AREA)
  • Signal Processing (AREA)
  • Filters That Use Time-Delay Elements (AREA)
  • Noise Elimination (AREA)
  • Circuit For Audible Band Transducer (AREA)
  • Holo Graphy (AREA)
  • Inspection Of Paper Currency And Valuable Securities (AREA)
  • Compression, Expansion, Code Conversion, And Decoders (AREA)
AT01124141T 2000-10-16 2001-10-10 Rauschrobuste mustererkennung ATE347161T1 (de)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US09/688,950 US6876966B1 (en) 2000-10-16 2000-10-16 Pattern recognition training method and apparatus using inserted noise followed by noise reduction

Publications (1)

Publication Number Publication Date
ATE347161T1 true ATE347161T1 (de) 2006-12-15

Family

ID=24766456

Family Applications (1)

Application Number Title Priority Date Filing Date
AT01124141T ATE347161T1 (de) 2000-10-16 2001-10-10 Rauschrobuste mustererkennung

Country Status (5)

Country Link
US (1) US6876966B1 (de)
EP (1) EP1199708B1 (de)
JP (1) JP4195211B2 (de)
AT (1) ATE347161T1 (de)
DE (1) DE60124842T2 (de)

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CN105580071B (zh) * 2013-05-06 2020-08-21 谷歌技术控股有限责任公司 用于训练声音识别模型数据库的方法和装置
CN103310789B (zh) * 2013-05-08 2016-04-06 北京大学深圳研究生院 一种基于改进的并行模型组合的声音事件识别方法
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CN105448303B (zh) * 2015-11-27 2020-02-04 百度在线网络技术（北京）有限公司 语音信号的处理方法和装置
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CN110505332A (zh) * 2019-09-05 2019-11-26 深圳传音控股股份有限公司 一种降噪方法、装置、移动终端及存储介质
CN111210810A (zh) * 2019-12-17 2020-05-29 秒针信息技术有限公司 模型训练方法和装置
EP3862782A1 (de) * 2020-02-04 2021-08-11 Infineon Technologies AG Vorrichtung und verfahren zur korrektur eines eingangssignals
CN111429930B (zh) * 2020-03-16 2023-02-28 云知声智能科技股份有限公司 一种基于自适应采样率的降噪模型处理方法及系统
CN111863008A (zh) * 2020-07-07 2020-10-30 北京达佳互联信息技术有限公司 一种音频降噪方法、装置及存储介质
CN112614484B (zh) * 2020-11-23 2022-05-20 北京百度网讯科技有限公司 特征信息挖掘方法、装置及电子设备
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Also Published As

Publication number Publication date
JP4195211B2 (ja) 2008-12-10
US6876966B1 (en) 2005-04-05
EP1199708B1 (de) 2006-11-29
EP1199708A3 (de) 2003-10-15
DE60124842T2 (de) 2007-04-12
EP1199708A2 (de) 2002-04-24
DE60124842D1 (de) 2007-01-11
JP2002140089A (ja) 2002-05-17

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