CA2041754A1 - Signal recognition system and method - Google Patents

Signal recognition system and method

Info

Publication number
CA2041754A1
CA2041754A1 CA002041754A CA2041754A CA2041754A1 CA 2041754 A1 CA2041754 A1 CA 2041754A1 CA 002041754 A CA002041754 A CA 002041754A CA 2041754 A CA2041754 A CA 2041754A CA 2041754 A1 CA2041754 A1 CA 2041754A1
Authority
CA
Canada
Prior art keywords
signal
identifications
statistical moment
calculated
values
Prior art date
Legal status (The legal status 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 status listed.)
Granted
Application number
CA002041754A
Other languages
French (fr)
Other versions
CA2041754C (en
Inventor
Stephen C. Kenyon
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Individual
Original Assignee
Individual
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 Individual filed Critical Individual
Publication of CA2041754A1 publication Critical patent/CA2041754A1/en
Application granted granted Critical
Publication of CA2041754C publication Critical patent/CA2041754C/en
Anticipated expiration legal-status Critical
Expired - Lifetime legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10HELECTROPHONIC MUSICAL INSTRUMENTS; INSTRUMENTS IN WHICH THE TONES ARE GENERATED BY ELECTROMECHANICAL MEANS OR ELECTRONIC GENERATORS, OR IN WHICH THE TONES ARE SYNTHESISED FROM A DATA STORE
    • G10H1/00Details of electrophonic musical instruments
    • G10H1/0033Recording/reproducing or transmission of music for electrophonic musical instruments
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/08Speech classification or search
    • G10L15/10Speech classification or search using distance or distortion measures between unknown speech and reference templates
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2218/00Aspects of pattern recognition specially adapted for signal processing
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10HELECTROPHONIC MUSICAL INSTRUMENTS; INSTRUMENTS IN WHICH THE TONES ARE GENERATED BY ELECTROMECHANICAL MEANS OR ELECTRONIC GENERATORS, OR IN WHICH THE TONES ARE SYNTHESISED FROM A DATA STORE
    • G10H2240/00Data organisation or data communication aspects, specifically adapted for electrophonic musical tools or instruments
    • G10H2240/121Musical libraries, i.e. musical databases indexed by musical parameters, wavetables, indexing schemes using musical parameters, musical rule bases or knowledge bases, e.g. for automatic composing methods
    • G10H2240/131Library retrieval, i.e. searching a database or selecting a specific musical piece, segment, pattern, rule or parameter set
    • G10H2240/141Library retrieval matching, i.e. any of the steps of matching an inputted segment or phrase with musical database contents, e.g. query by humming, singing or playing; the steps may include, e.g. musical analysis of the input, musical feature extraction, query formulation, or details of the retrieval process

Abstract

Apparatus and method for recognizing a signal, receives the signal and samples it at a plurality of sampling points to produce a plurality of signal values. A
statistical moment of the signal is calculated using the signal values according to the formula:
where: N = the number of sampling points:
n = 1 < n < N
X = the signal value of the signal at the sampling point:
µ = a mean of the signal values:
.sigma. a standard deviation of the signal values: and k = an integer greater than 1.

The calculated statistical moment is then compared with a plurality of stored signal identifications and the received signal is recognized as similar to one of the stored signal identifications. Preferably, the calculated statistical moment is used to create a feature vector which is quantized, and a weighted sum of the quantized feature vector is used to assess a memory which stores the signal identifications.
CA002041754A 1990-05-02 1991-05-02 Signal recognition system and method Expired - Lifetime CA2041754C (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US07/517,835 US5210820A (en) 1990-05-02 1990-05-02 Signal recognition system and method
US517,835 1990-05-02

Publications (2)

Publication Number Publication Date
CA2041754A1 true CA2041754A1 (en) 1991-11-03
CA2041754C CA2041754C (en) 2004-12-28

Family

ID=24061421

Family Applications (1)

Application Number Title Priority Date Filing Date
CA002041754A Expired - Lifetime CA2041754C (en) 1990-05-02 1991-05-02 Signal recognition system and method

Country Status (9)

Country Link
US (1) US5210820A (en)
EP (1) EP0480010B1 (en)
JP (1) JP3130926B2 (en)
AT (1) ATE142815T1 (en)
CA (1) CA2041754C (en)
DE (1) DE69122017T2 (en)
ES (1) ES2091328T3 (en)
HK (1) HK133697A (en)
WO (1) WO1991017540A1 (en)

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US9947327B2 (en) 2008-01-29 2018-04-17 The Nielsen Company (Us), Llc Methods and apparatus for performing variable block length watermarking of media
US10580421B2 (en) 2007-11-12 2020-03-03 The Nielsen Company (Us), Llc Methods and apparatus to perform audio watermarking and watermark detection and extraction

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