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ATE206841T1 - METHOD AND ARRANGEMENT FOR CLASSIFYING VOICE SIGNALS - Google Patents

METHOD AND ARRANGEMENT FOR CLASSIFYING VOICE SIGNALS

Info

Publication number
ATE206841T1
ATE206841T1 AT96104213T AT96104213T ATE206841T1 AT E206841 T1 ATE206841 T1 AT E206841T1 AT 96104213 T AT96104213 T AT 96104213T AT 96104213 T AT96104213 T AT 96104213T AT E206841 T1 ATE206841 T1 AT E206841T1
Authority
AT
Austria
Prior art keywords
speech
frames
divided
segments
wavelet transformation
Prior art date
Application number
AT96104213T
Other languages
German (de)
Inventor
Joachim Dipl-Ing Stegmann
Original Assignee
Deutsche Telekom Ag
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
Priority claimed from DE19538852A external-priority patent/DE19538852A1/en
Application filed by Deutsche Telekom Ag filed Critical Deutsche Telekom Ag
Application granted granted Critical
Publication of ATE206841T1 publication Critical patent/ATE206841T1/en

Links

Classifications

    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L19/00Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis
    • G10L19/04Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis using predictive techniques
    • G10L19/16Vocoder architecture
    • G10L19/18Vocoders using multiple modes
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
    • G10L25/78Detection of presence or absence of voice signals
    • G10L2025/783Detection of presence or absence of voice signals based on threshold decision
    • G10L2025/786Adaptive threshold
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
    • G10L25/27Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the analysis technique
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
    • G10L25/93Discriminating between voiced and unvoiced parts of speech signals

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Signal Processing (AREA)
  • Health & Medical Sciences (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Human Computer Interaction (AREA)
  • Computational Linguistics (AREA)
  • Acoustics & Sound (AREA)
  • Multimedia (AREA)
  • Time-Division Multiplex Systems (AREA)
  • Compression, Expansion, Code Conversion, And Decoders (AREA)
  • Machine Translation (AREA)
  • Transmission Systems Not Characterized By The Medium Used For Transmission (AREA)

Abstract

The method classifies speech, in particular speech signals, for the adaptive control of a speech encoding process. This encoding reduces the bit rate while keeping the speech quality the same, or increases the quality while keeping the bit rate the same. After segmenting the speech signal for each frame, a wavelet transformation is calculated. Using adaptive thresholds, a set of parameters is derived which control a state model. The speech frames are divided into sub-frames. Each sub-frame is divided into one of several typical classes for the speech encoding. The speech signal may be divided into segments of constant length. To reduce the edge effects with the wavelet transformation, either the segment at the boundaries is reflected or the wavelet transformation is calculated at smaller intervals. The frames are preferably shifted such that the segments overlap, or at the edges the segments are filled with previous or predicted sample values.
AT96104213T 1995-06-30 1996-03-16 METHOD AND ARRANGEMENT FOR CLASSIFYING VOICE SIGNALS ATE206841T1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE19523598 1995-06-30
DE19538852A DE19538852A1 (en) 1995-06-30 1995-10-19 Method and arrangement for classifying speech signals

Publications (1)

Publication Number Publication Date
ATE206841T1 true ATE206841T1 (en) 2001-10-15

Family

ID=26016384

Family Applications (1)

Application Number Title Priority Date Filing Date
AT96104213T ATE206841T1 (en) 1995-06-30 1996-03-16 METHOD AND ARRANGEMENT FOR CLASSIFYING VOICE SIGNALS

Country Status (4)

Country Link
EP (1) EP0751495B1 (en)
AT (1) ATE206841T1 (en)
ES (1) ES2165933T3 (en)
NO (1) NO309831B1 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE19716862A1 (en) * 1997-04-22 1998-10-29 Deutsche Telekom Ag Voice activity detection

Also Published As

Publication number Publication date
EP0751495A2 (en) 1997-01-02
NO961636L (en) 1997-01-02
NO961636D0 (en) 1996-04-24
EP0751495B1 (en) 2001-10-10
EP0751495A3 (en) 1998-04-15
NO309831B1 (en) 2001-04-02
ES2165933T3 (en) 2002-04-01

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Legal Events

Date Code Title Description
REN Ceased due to non-payment of the annual fee