WO2007028836A1 - Método para el reconocimiento de señales con un mi crocontrolador de bajo coste - Google Patents

Método para el reconocimiento de señales con un mi crocontrolador de bajo coste Download PDF

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Publication number
WO2007028836A1
WO2007028836A1 PCT/ES2005/000484 ES2005000484W WO2007028836A1 WO 2007028836 A1 WO2007028836 A1 WO 2007028836A1 ES 2005000484 W ES2005000484 W ES 2005000484W WO 2007028836 A1 WO2007028836 A1 WO 2007028836A1
Authority
WO
WIPO (PCT)
Prior art keywords
signal
low
recognition
cost microcontroller
signals
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.)
Ceased
Application number
PCT/ES2005/000484
Other languages
English (en)
Spanish (es)
French (fr)
Inventor
Juan Pedro Barrera Vazquez
Luis Gonzaga Meca Castany
Gabriel Pons Fullana
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Biloop Tecnologic SL
Original Assignee
Biloop Tecnologic SL
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 Biloop Tecnologic SL filed Critical Biloop Tecnologic SL
Priority to EP05791972A priority Critical patent/EP1950736B1/en
Priority to MX2008002313A priority patent/MX2008002313A/es
Priority to PCT/ES2005/000484 priority patent/WO2007028836A1/es
Priority to AU2005336269A priority patent/AU2005336269A1/en
Priority to CA002620200A priority patent/CA2620200A1/en
Priority to AT05791972T priority patent/ATE488002T1/de
Priority to US12/064,988 priority patent/US20080284409A1/en
Priority to DE602005024724T priority patent/DE602005024724D1/de
Priority to JP2008529649A priority patent/JP4931927B2/ja
Priority to BRPI0520529-8A priority patent/BRPI0520529A2/pt
Priority to ES05791972T priority patent/ES2354702T3/es
Publication of WO2007028836A1 publication Critical patent/WO2007028836A1/es
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/28Constructional details of speech recognition systems
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L17/00Speaker identification or verification techniques
    • G10L17/26Recognition of special voice characteristics, e.g. for use in lie detectors; Recognition of animal voices
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/02Feature extraction for speech recognition; Selection of recognition unit

Definitions

  • the present invention relates to a method of recognizing a waveform by using a low-cost microcontroller.
  • DSP Digital Signal Processor
  • This type of electronic devices is characterized by offering great computing power, but it has the disadvantage of a relatively high cost.
  • the computing power they possess is necessary to carry out the traditional method of signal analysis using the Fast Fourier Transform (FFT).
  • FFT Fast Fourier Transform
  • This method converts the signal from the temporal field to the frequency field, which facilitates the analysis and processing of the signals in the frequency field.
  • DSP Digital Signal Processor
  • This method requires that the signal to be analyzed be limited in time and repetitive. Examples of this type of signal are multiple, for example, the cry of a child, the barking of a dog, the noise of a machine, and in general all those repetitive sounds emitted by people, animals or things.
  • the originality of the method resides in not using a signal analysis in the frequency field, but in the temporal field. This change, by itself, eliminates the need to use the Fast Fourier Transform and therefore the use of Digital Signal Processors.
  • the method of the present patent rules out the use of patterns stored in a memory, with which the signal to be analyzed is compared. Instead, an identification procedure is performed using a fuzzy logic algorithm.
  • the signal analysis method of this invention is based on the use of a low cost microcontroller that incorporates an analog / digital converter.
  • the sampling phase begins.
  • This converter takes a series of samples at regular intervals, of the value of the amplitude of the signal envelope.
  • Direct signal samples are not taken, but the waveform of its envelope is previously obtained.
  • This difference is the key to being able to use a device without great demands in terms of calculation power, since it transforms the signal to be analyzed into a similar one, but much simpler from the analysis point of view.
  • the first consequence is the reduction in signal speed. This implies the possibility of using a low computing power microcontroller.
  • the low frequency of the signal to be analyzed allows a much larger number of samples to be taken than the lower limit of the Nyquist frequency.
  • This oversampling of the signal to be analyzed allows us to perform the analysis repeatedly with the two sample sequences.
  • This repetition of the analysis allows us to compare the results obtained according to the sequence of samples analyzed and to apply different validation algorithms that guarantee the reliability of the final result.
  • the way in which the waveform to be analyzed is characterized is based on the use of a matrix of temporal parameters of the waveform.
  • the microprocessor performs a series of calculations to obtain the following parameters:
  • a comparison is made between the elements obtained from the signal and the elements of the different reference matrices.
  • the value of said index is calculated relative to the other reference matrices.
  • the index does not have a prefixed value, allows us to accept waveforms with very different similarity values in appearance but that have a high degree of similarity between them in various elements of the matrix.
  • the mean value could be very different from the reference value, but if the values of the rest of the elements have a high degree of correlation, the identification is positive.
  • This method allows to automatically correct the decrease in the mean values of the signal as a consequence of the wear of the batteries in portable devices.
  • the maximum number allowed by the internal RAM of the microcontroller (in this case 64) is taken, so the needs in terms of memory capacity are very small.
  • the device in which the microcontroller has been incorporated is designed for portable use by the baby's caregiver.
  • the distance from the baby's mouth to which the device should be placed is between 20 cm. And Im. T / ES2005 / 000484
  • the distance limit values will depend on the regulation capacity of the block that the automatic level control performs.
  • the sound is captured by means of a microphone (1) coupled to a pre-amplifier (2) that increases the level of the captured signal.
  • a pre-amplifier (2) that increases the level of the captured signal.
  • the necessary signal (12) is provided so that the automatic level control block (3) can supply the envelope detector (4) with the optimal signal.
  • the signal envelope (13) is applied to an analog / digital converter (5) that obtains the samples of the instantaneous value of the signal (14).
  • the signal identification process can be started again at any time.

Landscapes

  • Engineering & Computer Science (AREA)
  • Acoustics & Sound (AREA)
  • Health & Medical Sciences (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Computational Linguistics (AREA)
  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
  • Measurement Of Current Or Voltage (AREA)
  • Feedback Control In General (AREA)
  • Electrophonic Musical Instruments (AREA)
  • Lock And Its Accessories (AREA)
PCT/ES2005/000484 2005-09-07 2005-09-07 Método para el reconocimiento de señales con un mi crocontrolador de bajo coste Ceased WO2007028836A1 (es)

Priority Applications (11)

Application Number Priority Date Filing Date Title
EP05791972A EP1950736B1 (en) 2005-09-07 2005-09-07 Microcontroller-implemented method for recognizing a sound signal
MX2008002313A MX2008002313A (es) 2005-09-07 2005-09-07 Metodo para el reconocimiento de senales con un microcontrolador de bajo costo.
PCT/ES2005/000484 WO2007028836A1 (es) 2005-09-07 2005-09-07 Método para el reconocimiento de señales con un mi crocontrolador de bajo coste
AU2005336269A AU2005336269A1 (en) 2005-09-07 2005-09-07 Signal recognition method using a low-cost microcontroller
CA002620200A CA2620200A1 (en) 2005-09-07 2005-09-07 Signal recognition method using a low-cost microcontroller
AT05791972T ATE488002T1 (de) 2005-09-07 2005-09-07 Mikrocontroller-implementiertes verfahren zur erkennung eines tonsignals
US12/064,988 US20080284409A1 (en) 2005-09-07 2005-09-07 Signal Recognition Method With a Low-Cost Microcontroller
DE602005024724T DE602005024724D1 (de) 2005-09-07 2005-09-07 Mikrocontroller-implementiertes verfahren zur erkennung eines tonsignals
JP2008529649A JP4931927B2 (ja) 2005-09-07 2005-09-07 マイクロコントローラーを利用した信号認識法
BRPI0520529-8A BRPI0520529A2 (pt) 2005-09-07 2005-09-07 método de reconhecimento de sinal utilizando um microcontrolador de baixo custo
ES05791972T ES2354702T3 (es) 2005-09-07 2005-09-07 Método para el reconocimiento de una señal de sonido implementado mediante microcontrolador.

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/ES2005/000484 WO2007028836A1 (es) 2005-09-07 2005-09-07 Método para el reconocimiento de señales con un mi crocontrolador de bajo coste

Publications (1)

Publication Number Publication Date
WO2007028836A1 true WO2007028836A1 (es) 2007-03-15

Family

ID=37835396

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/ES2005/000484 Ceased WO2007028836A1 (es) 2005-09-07 2005-09-07 Método para el reconocimiento de señales con un mi crocontrolador de bajo coste

Country Status (11)

Country Link
US (1) US20080284409A1 (https=)
EP (1) EP1950736B1 (https=)
JP (1) JP4931927B2 (https=)
AT (1) ATE488002T1 (https=)
AU (1) AU2005336269A1 (https=)
BR (1) BRPI0520529A2 (https=)
CA (1) CA2620200A1 (https=)
DE (1) DE602005024724D1 (https=)
ES (1) ES2354702T3 (https=)
MX (1) MX2008002313A (https=)
WO (1) WO2007028836A1 (https=)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8321209B2 (en) 2009-11-10 2012-11-27 Research In Motion Limited System and method for low overhead frequency domain voice authentication
EP2337023B1 (en) * 2009-11-10 2012-01-04 Research in Motion Limited System and method for low overhead voice authentication
US8775191B1 (en) * 2013-11-13 2014-07-08 Google Inc. Efficient utterance-specific endpointer triggering for always-on hotwording
GB2552067A (en) 2016-05-24 2018-01-10 Graco Children's Products Inc Systems and methods for autonomously soothing babies

Citations (4)

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Publication number Priority date Publication date Assignee Title
US4827519A (en) * 1985-09-19 1989-05-02 Ricoh Company, Ltd. Voice recognition system using voice power patterns
US6321194B1 (en) * 1999-04-27 2001-11-20 Brooktrout Technology, Inc. Voice detection in audio signals
US20020074987A1 (en) * 2000-09-01 2002-06-20 Jorg Hauptmann Tone signal detection circuit for detecting tone signals
US20050177362A1 (en) * 2003-03-06 2005-08-11 Yasuhiro Toguri Information detection device, method, and program

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US4066844A (en) * 1975-11-13 1978-01-03 Communications Satellite Corporation Adaptable zero order predictor for speech predictive encoding communications systems
US4181813A (en) * 1978-05-08 1980-01-01 John Marley System and method for speech recognition
US4627091A (en) * 1983-04-01 1986-12-02 Rca Corporation Low-energy-content voice detection apparatus
GB2145864B (en) * 1983-09-01 1987-09-03 King Reginald Alfred Voice recognition
US5150415A (en) * 1989-05-01 1992-09-22 Motorola, Inc. Volume control circuit using pulse modulation
WO1991019989A1 (en) * 1990-06-21 1991-12-26 Reynolds Software, Inc. Method and apparatus for wave analysis and event recognition
JPH06222792A (ja) * 1993-01-21 1994-08-12 Fuji Xerox Co Ltd 音処理装置
US5640490A (en) * 1994-11-14 1997-06-17 Fonix Corporation User independent, real-time speech recognition system and method
US6044343A (en) * 1997-06-27 2000-03-28 Advanced Micro Devices, Inc. Adaptive speech recognition with selective input data to a speech classifier
US6347297B1 (en) * 1998-10-05 2002-02-12 Legerity, Inc. Matrix quantization with vector quantization error compensation and neural network postprocessing for robust speech recognition
DE19859174C1 (de) * 1998-12-21 2000-05-04 Max Planck Gesellschaft Verfahren und Vorrichtung zur Verarbeitung rauschbehafteter Schallsignale
US7653002B2 (en) * 1998-12-24 2010-01-26 Verizon Business Global Llc Real time monitoring of perceived quality of packet voice transmission
FI19992351L (fi) * 1999-10-29 2001-04-30 Nokia Mobile Phones Ltd Puheentunnistus
FR2805433A1 (fr) * 2000-02-17 2001-08-24 France Telecom Procede et dispositif de comparaison de signaux pour le controle de transducteurs et systeme de controle de transducteurs
JP2003280682A (ja) * 2002-03-20 2003-10-02 Toyota Motor Corp 音声認識装置及び方法
US6947869B2 (en) * 2002-03-29 2005-09-20 The United States Of America As Represented By The Secretary Of The Navy Efficient near neighbor search (ENN-search) method for high dimensional data sets with noise
US7529670B1 (en) * 2005-05-16 2009-05-05 Avaya Inc. Automatic speech recognition system for people with speech-affecting disabilities
US7536304B2 (en) * 2005-05-27 2009-05-19 Porticus, Inc. Method and system for bio-metric voice print authentication

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4827519A (en) * 1985-09-19 1989-05-02 Ricoh Company, Ltd. Voice recognition system using voice power patterns
US6321194B1 (en) * 1999-04-27 2001-11-20 Brooktrout Technology, Inc. Voice detection in audio signals
US20020074987A1 (en) * 2000-09-01 2002-06-20 Jorg Hauptmann Tone signal detection circuit for detecting tone signals
US20050177362A1 (en) * 2003-03-06 2005-08-11 Yasuhiro Toguri Information detection device, method, and program

Also Published As

Publication number Publication date
EP1950736A1 (en) 2008-07-30
JP2009507260A (ja) 2009-02-19
ES2354702T3 (es) 2011-03-17
BRPI0520529A2 (pt) 2009-09-29
ATE488002T1 (de) 2010-11-15
EP1950736B1 (en) 2010-11-10
DE602005024724D1 (de) 2010-12-23
MX2008002313A (es) 2008-04-22
AU2005336269A1 (en) 2007-03-15
US20080284409A1 (en) 2008-11-20
JP4931927B2 (ja) 2012-05-16
CA2620200A1 (en) 2007-03-15

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