EP2816557B1 - Identifying spurious signals in audio signals - Google Patents

Identifying spurious signals in audio signals Download PDF

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Publication number
EP2816557B1
EP2816557B1 EP13173079.8A EP13173079A EP2816557B1 EP 2816557 B1 EP2816557 B1 EP 2816557B1 EP 13173079 A EP13173079 A EP 13173079A EP 2816557 B1 EP2816557 B1 EP 2816557B1
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EP
European Patent Office
Prior art keywords
signal
audio signal
level
audio
predetermined frequency
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.)
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EP13173079.8A
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German (de)
English (en)
French (fr)
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EP2816557A1 (en
Inventor
Karl-Anton Becker
Christoph Benz
Frieder Otto
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.)
Harman Becker Automotive Systems GmbH
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Harman Becker Automotive Systems GmbH
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Priority to EP13173079.8A priority Critical patent/EP2816557B1/en
Priority to KR1020140068176A priority patent/KR102180656B1/ko
Publication of EP2816557A1 publication Critical patent/EP2816557A1/en
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Publication of EP2816557B1 publication Critical patent/EP2816557B1/en
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    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00Speech 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
    • G10L21/02Speech enhancement, e.g. noise reduction or echo cancellation
    • G10L21/0208Noise filtering

Definitions

  • the disclosure relates to a system and method (generally referred to as a "system") for processing signals, in particular for identifying spurious signals in audio signals.
  • system a system and method for processing signals, in particular for identifying spurious signals in audio signals.
  • An audio signal may be a composite signal containing features that are attributable to noise and features that are attributable to the desired signal.
  • the features of the composite signal that are noise may be distinguished from the features of the composite signal that are attributable to the desired signal.
  • Features that have been identified as noise can then be removed or reduced from the composite signal.
  • noise may be relatively constant background noise and spurious signals, for example in a high frequency portion of the audio frequency spectrum.
  • spurious signals may be generated internally by an audio reception system that may employ demodulation of a high-frequency carrier and decoding of the demodulated signals.
  • These spurious internal signals are commonly referred to as birdies.
  • Common approaches for detecting and overriding birdies in digital audio signal transmission includes attenuating demodulated and decoded audio signals in a frequency selective manner and superimposing substitute signals on the audio signals in frequency selective manner as a function of the data error statistics of the digital signal in order to improve the subjective auditory perception of the audio signal.
  • a method for identifying a spurious signal in an audio signal includes: receiving at least one audio signal having a frequency spectrum, the at least one audio signal being derived from at least one digital signal; spectrally analyzing the at least one audio signal; determining the presence of a spurious signal, if a rate of increase of the audio level in a predetermined frequency region of the frequency spectrum exceeds a predetermined value and if a threshold value of the audio level is exceeded; and providing a trigger signal for attenuating the predetermined frequency portion of the at least one audio signal in which the presence of a spurious signal is determined if the presence of a spurious signal is determined.
  • a system for identifying a spurious signal in an audio signal which is derived from a digital signal includes: a receiver block configured to receive at least one audio signal having a frequency spectrum, the at least one audio signal being derived from at least one digital signal; a analyzing block configured to spectrally analyze the reproduced audio signal; a detector block configured to determine the presence of a spurious signal, if a rate of increase of the audio level in a predetermined frequency region of the frequency spectrum exceeds a predetermined value and if a threshold value of the audio level is exceeded, and to provide a trigger signal for attenuating the predetermined frequency portion of the at least one audio signal in which the presence of a spurious signal is determined if the presence of a spurious signal is determined.
  • FIG. 1 illustrates a digital audio broadcast receiver system 10 that allows for reducing noise in demodulated and decoded digital audio signals.
  • System 10 comprises an antenna 11 for receiving a frequency carrier that is modulated with a coded digital audio signal.
  • Antenna 11 is coupled to a front end receiver block 12, which is configured to derive by way of demodulation an intermediate signal from the received modulated high-frequency signal, which is modulated and coded according to a digital audio broadcast (DAB) standard in this particular exemplary system 10.
  • Front end receiver block 12 is coupled to a DAB decoder block 13 which is configured to decode the reproduced audio signal and provide the left (L) and right (R) signals of a stereo audio signal on lines 14 and 15.
  • DAB digital audio broadcast
  • System 10 further comprises a noise (birdie) detection block 20 which is coupled to lines 14 and 15 so as to receive one or both of the demodulated signals of the stereo signals on lines 14, 15.
  • Noise detection block 20 further receives a signal from the front-end receiver block 12 on line 21 indicative of the reception quality of the high-frequency signal.
  • Noise detection block 20 controls via line 22 an attenuation block 16, which is coupled to line 14 of audio signal decoder block 13 and a loudspeaker 18 for the left stereo audio signal L.
  • Noise reduction block 20 controls, via line 22, an attenuation block 17, which is coupled to line 15 of audio block 13 and a loudspeaker 19 for the right stereo audio signal R.
  • Attenuation blocks 16 and 17 may provide frequency-dependent attenuation, which may be achieved, e.g., with a controllable cut-off frequency.
  • the lowpass filter's cut-off frequency may be switched between 18kHz (less attenuation in the range 16-18kHz) and 16kHz (more attenuation in the range 16-18kHz).
  • Noise detection block 20 is illustrated in more detail in FIG. 2 .
  • Lines 14 and 15 are coupled to an adder 23, which adds left audio signal L on line 14 and right audio signal R on line 15 to generate an input signal to a high pass filter 25 and a band-pass filter 24.
  • the inputs of two level detectors 27 and 28, which have different averaging time constants t 27 and t 28 , respectively, are connected to the output of high pass filter 25; their outputs provide an input into comparator 29, which provides an input into comparator 30 indicative of which output level of level detectors 27 and 28 is higher.
  • Comparator 30 further receives input from level detector 26 having an averaging time constant t 26 , whose value may be (approximately) the same as that of time constant t 27 (t 26 ⁇ t 27 ).
  • a controllable gate 31 is connected downstream of comparator 30 and receives from front-end block 12 signal 21, which is indicative of the reception quality and which controls gate 31. Gate 31 lets the output signal of comparator 30, also called trigger signal 22, pass if the reception quality is below a certain level or otherwise blocks trigger signal 22.
  • the averaging time constant of level detector 27 may be small, e.g., ⁇ 10ms, so that short impulses are detected by comparing the output signal of detector 27 with the output signal of level detector 28, whose averaging time constant is large, e.g., > 100 ms.
  • FIG. 3 illustrates an exemplary signal flow structure of level detectors 26, 27 and 28.
  • the respective input signal is rectified or its absolute value is determined in a absolute value calculating block 32.
  • the absolute value is then averaged in an appropriate way, e.g., by way of an RC element.
  • the RC element may include a resistor 33 in a series arm and a resistor 34 and a capacitor 35 in a shunt arm of the RC element.
  • the averaging time constants can be adjusted by adequately dimensioning resistors 33 and 34 and capacitor 35, whereby resistor 33 may include zero Ohms and resistor 34 infinite Ohms.
  • the system described above in connection with FIGS. 1-3 may employ a method for identifying a spurious signal in the demodulated and decoded audio signal derived from the modulated and coded digital signal received by antenna 11.
  • the reproduced audio signals provided by DAB decoder block 13 are spectrally analyzed by noise (birdie) detector block 20. If a rate of increase of the audio level in a predetermined frequency region of the frequency spectrum exceeds a predetermined value and if a threshold value of the audio signal is exceeded, then the presence of a spurious signal is determined at comparator 30.
  • the reception quality can also be taken into account when determining if a signal is spurious. If the reception quality exceeds a threshold value, i.e.
  • the predetermined region may be a high-frequency region of the audio frequency spectrum, e.g., 16-18kHz, and is selected by high-pass filter 25.
  • the rate of increase in this particular frequency range is detected by level detectors 27 and 28 in combination with comparator 29. Threshold value detection of the audio signal is performed by comparator 30 in connection with band-pass filter 24 and level detector 26.
  • the predetermined portion of the frequency spectrum in which the presence of a spurious signal is determined may be attenuated by muting the audio signal during the time period of the spurious signal (frequency independent attenuation) or by reducing the frequencies of low pass filters 16 and 17 (frequency-dependent attenuation).
  • the system described above in connection with FIGS. 1-3 may be realized in analog, digital or mixed analog-digital circuitry.
  • the digital circuitry may be controlled by adequate software.

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  • Engineering & Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Quality & Reliability (AREA)
  • Signal Processing (AREA)
  • Health & Medical Sciences (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • Acoustics & Sound (AREA)
  • Multimedia (AREA)
  • Noise Elimination (AREA)
EP13173079.8A 2013-06-20 2013-06-20 Identifying spurious signals in audio signals Active EP2816557B1 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
EP13173079.8A EP2816557B1 (en) 2013-06-20 2013-06-20 Identifying spurious signals in audio signals
KR1020140068176A KR102180656B1 (ko) 2013-06-20 2014-06-05 오디오 신호에서 스퓨리어스 신호의 식별

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
EP13173079.8A EP2816557B1 (en) 2013-06-20 2013-06-20 Identifying spurious signals in audio signals

Publications (2)

Publication Number Publication Date
EP2816557A1 EP2816557A1 (en) 2014-12-24
EP2816557B1 true EP2816557B1 (en) 2015-11-04

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ID=48628572

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EP13173079.8A Active EP2816557B1 (en) 2013-06-20 2013-06-20 Identifying spurious signals in audio signals

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EP (1) EP2816557B1 (ko)
KR (1) KR102180656B1 (ko)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9763006B2 (en) * 2015-03-26 2017-09-12 International Business Machines Corporation Noise reduction in a microphone using vowel detection

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA2231107A1 (en) * 1995-09-14 1997-03-20 Ericsson, Inc. System for adaptively filtering audio signals to enhance speech intelligibility in noisy environmental conditions
US8269480B2 (en) * 2007-07-09 2012-09-18 Ltx-Credence Corporation Method and apparatus for identifying and reducing spurious frequency components
US8015002B2 (en) * 2007-10-24 2011-09-06 Qnx Software Systems Co. Dynamic noise reduction using linear model fitting
JP5071346B2 (ja) * 2008-10-24 2012-11-14 ヤマハ株式会社 雑音抑圧装置及び雑音抑圧方法
JP2013527491A (ja) * 2010-04-09 2013-06-27 ディーティーエス・インコーポレイテッド オーディオ再生のための適応的環境ノイズ補償

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Publication number Publication date
KR102180656B1 (ko) 2020-11-19
EP2816557A1 (en) 2014-12-24
KR20140147687A (ko) 2014-12-30

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