CL2014002551A1 - Metodo para identificar segmento de audio, que comprende las etapas de crear un espectrograma del segmento candidato de audio, crear un mapa candidato de bits huella digital y acustica del espectrograma, comparar el mapa candidato con al menos un mapa conocido de un mensaje de red conocido, si el mapa candidato coincide con un mapa conocido, declarar el calce, y si el candidato no coincide, utilizar un algoritmo de deteccion para analizar el segmento de audio candidato; metodos asociados. - Google Patents

Metodo para identificar segmento de audio, que comprende las etapas de crear un espectrograma del segmento candidato de audio, crear un mapa candidato de bits huella digital y acustica del espectrograma, comparar el mapa candidato con al menos un mapa conocido de un mensaje de red conocido, si el mapa candidato coincide con un mapa conocido, declarar el calce, y si el candidato no coincide, utilizar un algoritmo de deteccion para analizar el segmento de audio candidato; metodos asociados.

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Publication number
CL2014002551A1
CL2014002551A1 CL2014002551A CL2014002551A CL2014002551A1 CL 2014002551 A1 CL2014002551 A1 CL 2014002551A1 CL 2014002551 A CL2014002551 A CL 2014002551A CL 2014002551 A CL2014002551 A CL 2014002551A CL 2014002551 A1 CL2014002551 A1 CL 2014002551A1
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CL
Chile
Prior art keywords
candidate
map
audio segment
creating
spectrogram
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CL2014002551A
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English (en)
Inventor
Kevin Vlack
Felix Immanuel Wyss
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Interactive Intelligence Inc
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Application filed by Interactive Intelligence Inc filed Critical Interactive Intelligence Inc
Publication of CL2014002551A1 publication Critical patent/CL2014002551A1/es

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28Databases characterised by their database models, e.g. relational or object models
    • G06F16/284Relational databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/60Information retrieval; Database structures therefor; File system structures therefor of audio data
    • G06F16/68Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/683Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • 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
    • G10L19/018Audio watermarking, i.e. embedding inaudible data in the audio signal
    • 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
    • G10L25/48Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
    • G10L25/51Speech 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
    • G10L25/54Speech 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 for retrieval
    • HELECTRICITY
    • H03ELECTRONIC CIRCUITRY
    • H03MCODING; DECODING; CODE CONVERSION IN GENERAL
    • H03M7/00Conversion of a code where information is represented by a given sequence or number of digits to a code where the same, similar or subset of information is represented by a different sequence or number of digits
    • H03M7/30Compression; Expansion; Suppression of unnecessary data, e.g. redundancy reduction
    • H03M7/3059Digital compression and data reduction techniques where the original information is represented by a subset or similar information, e.g. lossy compression
    • HELECTRICITY
    • H03ELECTRONIC CIRCUITRY
    • H03MCODING; DECODING; CODE CONVERSION IN GENERAL
    • H03M7/00Conversion of a code where information is represented by a given sequence or number of digits to a code where the same, similar or subset of information is represented by a different sequence or number of digits
    • H03M7/30Compression; Expansion; Suppression of unnecessary data, e.g. redundancy reduction
    • H03M7/3066Compression; Expansion; Suppression of unnecessary data, e.g. redundancy reduction by means of a mask or a bit-map
    • HELECTRICITY
    • H03ELECTRONIC CIRCUITRY
    • H03MCODING; DECODING; CODE CONVERSION IN GENERAL
    • H03M7/00Conversion of a code where information is represented by a given sequence or number of digits to a code where the same, similar or subset of information is represented by a different sequence or number of digits
    • H03M7/30Compression; Expansion; Suppression of unnecessary data, e.g. redundancy reduction
    • H03M7/3082Vector coding
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M2203/00Aspects of automatic or semi-automatic exchanges
    • H04M2203/20Aspects of automatic or semi-automatic exchanges related to features of supplementary services
    • H04M2203/2027Live party detection
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M3/00Automatic or semi-automatic exchanges
    • H04M3/42Systems providing special services or facilities to subscribers
    • H04M3/50Centralised arrangements for answering calls; Centralised arrangements for recording messages for absent or busy subscribers ; Centralised arrangements for recording messages
    • H04M3/51Centralised call answering arrangements requiring operator intervention, e.g. call or contact centers for telemarketing
    • H04M3/5158Centralised call answering arrangements requiring operator intervention, e.g. call or contact centers for telemarketing in combination with automated outdialling systems

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Databases & Information Systems (AREA)
  • Human Computer Interaction (AREA)
  • Acoustics & Sound (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Health & Medical Sciences (AREA)
  • Computational Linguistics (AREA)
  • Library & Information Science (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • Marketing (AREA)
  • Telephonic Communication Services (AREA)
  • Telephone Function (AREA)
  • User Interface Of Digital Computer (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
  • Compression, Expansion, Code Conversion, And Decoders (AREA)
CL2014002551A 2012-03-28 2014-09-25 Metodo para identificar segmento de audio, que comprende las etapas de crear un espectrograma del segmento candidato de audio, crear un mapa candidato de bits huella digital y acustica del espectrograma, comparar el mapa candidato con al menos un mapa conocido de un mensaje de red conocido, si el mapa candidato coincide con un mapa conocido, declarar el calce, y si el candidato no coincide, utilizar un algoritmo de deteccion para analizar el segmento de audio candidato; metodos asociados. CL2014002551A1 (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US13/432,838 US8681950B2 (en) 2012-03-28 2012-03-28 System and method for fingerprinting datasets

Publications (1)

Publication Number Publication Date
CL2014002551A1 true CL2014002551A1 (es) 2015-05-08

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Family Applications (3)

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CL2014002551A CL2014002551A1 (es) 2012-03-28 2014-09-25 Metodo para identificar segmento de audio, que comprende las etapas de crear un espectrograma del segmento candidato de audio, crear un mapa candidato de bits huella digital y acustica del espectrograma, comparar el mapa candidato con al menos un mapa conocido de un mensaje de red conocido, si el mapa candidato coincide con un mapa conocido, declarar el calce, y si el candidato no coincide, utilizar un algoritmo de deteccion para analizar el segmento de audio candidato; metodos asociados.
CL2016001146A CL2016001146A1 (es) 2012-03-28 2016-05-12 Sistema y método para conjuntos de datos de huellas digitales.
CL2016001145A CL2016001145A1 (es) 2012-03-28 2016-05-12 Sistema y método para conjuntos de datos de huellas digitales.

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CL2016001146A CL2016001146A1 (es) 2012-03-28 2016-05-12 Sistema y método para conjuntos de datos de huellas digitales.
CL2016001145A CL2016001145A1 (es) 2012-03-28 2016-05-12 Sistema y método para conjuntos de datos de huellas digitales.

Country Status (11)

Country Link
US (4) US8681950B2 (es)
EP (3) EP2832080B1 (es)
JP (2) JP6178840B2 (es)
AU (3) AU2013240453B2 (es)
BR (1) BR112014023865B1 (es)
CA (1) CA2866347C (es)
CL (3) CL2014002551A1 (es)
HK (1) HK1202734A1 (es)
NZ (2) NZ713997A (es)
WO (1) WO2013148069A1 (es)
ZA (1) ZA201406474B (es)

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