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WO2006006809A1 - Procede et dispositif destines a coder et decoder un signal audio multicanal au moyen d'informations d'emplacement de source virtuelle - Google Patents

Procede et dispositif destines a coder et decoder un signal audio multicanal au moyen d'informations d'emplacement de source virtuelle Download PDF

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Publication number
WO2006006809A1
WO2006006809A1 PCT/KR2005/002213 KR2005002213W WO2006006809A1 WO 2006006809 A1 WO2006006809 A1 WO 2006006809A1 KR 2005002213 W KR2005002213 W KR 2005002213W WO 2006006809 A1 WO2006006809 A1 WO 2006006809A1
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WO
WIPO (PCT)
Prior art keywords
audio signal
vector
channel
signal
source location
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Ceased
Application number
PCT/KR2005/002213
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English (en)
Inventor
Jeong Il Seo
Han Gil Moon
Seung Kwon Beack
Kyeong Ok Kang
In Seon Jang
Koeng Mo Sung
Min Soo Hahn
Jin Woo Hong
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.)
Electronics and Telecommunications Research Institute ETRI
Original Assignee
Electronics and Telecommunications Research Institute ETRI
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 KR1020050061425A external-priority patent/KR100663729B1/ko
Application filed by Electronics and Telecommunications Research Institute ETRI filed Critical Electronics and Telecommunications Research Institute ETRI
Priority to DE602005023738T priority Critical patent/DE602005023738D1/de
Priority to AT05774399T priority patent/ATE482451T1/de
Priority to US11/631,009 priority patent/US7783495B2/en
Priority to EP05774399A priority patent/EP1779385B1/fr
Priority to CN2005800232313A priority patent/CN101002261B/zh
Publication of WO2006006809A1 publication Critical patent/WO2006006809A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04SSTEREOPHONIC SYSTEMS 
    • H04S3/00Systems employing more than two channels, e.g. quadraphonic
    • H04S3/008Systems employing more than two channels, e.g. quadraphonic in which the audio signals are in digital form, i.e. employing more than two discrete digital channels
    • 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
    • G10L19/008Multichannel audio signal coding or decoding using interchannel correlation to reduce redundancy, e.g. joint-stereo, intensity-coding or matrixing
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04SSTEREOPHONIC SYSTEMS 
    • H04S2420/00Techniques used stereophonic systems covered by H04S but not provided for in its groups
    • H04S2420/03Application of parametric coding in stereophonic audio systems

Definitions

  • the present invention relates to a method and apparatus for encoding/decoding a multi-channel audio signal, and more particularly, to a method and apparatus for ef ⁇ fectively encoding/decoding a multi-channel audio signal using Virtual Sound Location Information (VLSI).
  • VLSI Virtual Sound Location Information
  • MPEG Moving Picture Experts Group
  • BC Backward Compatibility
  • AAC MPEG-2 Advanced Audio Coding
  • MPEG- 4 AAC has been standardized in the MPEG.
  • multi-channel audio compression technology such as AC-3 and Digital Theater System (DTS)
  • DTS Digital Theater System
  • BCC is technology for effectively compressing a multi-channel audio signal that has been developed on a basis of the fact that people can acoustically perceive space due to a binaural effect. BCC is based on the fact that a pair of ears perceives a location of a specific sound source using interaural level differences and/or interaural time differences.
  • a multi-channel audio signal is downmixed to a monophonic or stereophonic signal and channel information is represented by binaural cue parameters such as Inter-channel Level Difference (ICLD) and Inter-channel Time Difference (ICTD).
  • ICLD Inter-channel Level Difference
  • ICTD Inter-channel Time Difference
  • the present invention is directed to reproduction of a realistic audio signal by encoding/decoding a multi-channel audio signal using only a downmixed audio signal and a small amount of additional information.
  • the present invention is also directed to maximizing transmission efficiency by analyzing a per-channel sound source of a multi-channel audio signal, extracting a small amount of virtual source location information, and transmitting the extracted virtual source location information together with a downmixed audio signal.
  • One aspect of the present invention provides an apparatus for encoding a multi ⁇ channel audio signal, the apparatus including: a frame converter for converting the multi-channel audio signal into a framed audio signal; means for downmixing the framed audio signal; means for encoding the downmixed audio signal; a source location information estimator for estimating source location information from the framed audio signal; means for quantizing the estimated source location information; and means for multiplexing the encoded audio signal and the quantized source location information, to generate an encoded multi-channel audio signal.
  • the source location information estimator includes a time-to-frequency converter for converting the framed audio signal into a spectrum; a separator for separating per-band spectrums; an energy vector detector for detecting per-channel energy vectors from the corresponding per- band spectrum; and a VSLI estimator for estimating virtual source location information (VSLI) using the detected per-channel energy vector detected by the energy vector detector.
  • a time-to-frequency converter for converting the framed audio signal into a spectrum
  • a separator for separating per-band spectrums
  • an energy vector detector for detecting per-channel energy vectors from the corresponding per- band spectrum
  • a VSLI estimator for estimating virtual source location information (VSLI) using the detected per-channel energy vector detected by the energy vector detector.
  • Another aspect of the present invention provides an apparatus for decoding a multi ⁇ channel audio signal, the apparatus including: means for receiving the multi-channel audio signal; a signal distributor for separating the received multi-channel audio signal into an encoded downmixed audio signal and a quantized virtual source location vector signal; means for decoding the encoded downmixed audio signal; means for converting the decoded downmixed audio signal into a frequency axis signal; a VSLI extractor for extracting per-band VSLI from the quantized virtual source location vector signal; a channel gain calculator for calculating per-band channel gains using the extracted per- band VSLI; means for synthesizing a multi-channel audio signal spectrum using the converted frequency axis signal and the calculated per-band channel gains; and means for generating a multi-channel audio signal from the synthesized multi-channel spectrum.
  • Yet another aspect of the present invention provides a method of encoding a multi ⁇ channel audio signal, including the steps of: converting the multi-channel audio signal into a framed audio signal; downmixing the framed audio signal; encoding the downmixed audio signal; estimating source location information from the framed audio signal; quantizing the estimated source location information; and multiplexing the encoded downmixed audio signal and the quantized source location information, to generate an encoded multi-channel audio signal.
  • Still another aspect of the present invention provides a method of decoding a multi ⁇ channel audio signal, including the steps of: receiving the multi-channel audio signal; separating the received multi-channel audio signal into an encoded downmixed audio signal and a quantized virtual source location vector signal; decoding the encoded downmixed audio signal; converting the decoded downmixed audio signal into a frequency axis signal; analyzing the quantized virtual source location vector signal and extracting per-band VSLI therefrom; calculating per-band channel gains from the extracted per-band VSLI; synthesizing a multi-channel audio signal spectrum using the converted frequency axis signal and the calculated per-band channel gains; and producing a multi-channel audio signal from the synthesized multi-channel spectrum.
  • FlG. 1 is a block diagram of an apparatus for encoding a multi-channel audio signal according to an exemplary embodiment of the present invention
  • FlG. 2 is a conceptual diagram of a time-to-frequency lattice using an Equivalent
  • FIG. 3 is a conceptual diagram of source location vectors estimated according to the preset invention, in the case where a downmixed multi-channel audio signal is monophonic;
  • FlG. 4 is a conceptual diagram of source location vectors estimated according to the preset invention, in the case where a downmixed multi-channel audio signal is stereophonic;
  • FlG. 5 is a conceptual diagram illustrating a process of estimating virtual source location information according to an exemplary embodiment of the present invention
  • FlG. 6 shows an example of per-channel energy vectors when 5.1 channel speakers are used
  • FlG. 7 is a conceptual diagram illustrating a process of estimating a Left Half-plane
  • LHV Left Half-plane Vector
  • RHV Right Half-plane Vector
  • FlG. 8 is a conceptual diagram illustrating a process of estimating a Left Subsequent Vector (LSV) and a Right Subsequent Vector (RSV) according to the present invention
  • FlG. 9 is a conceptual diagram illustrating a process of estimating a Global Vector
  • FlG. 10 illustrates azimuth angles, each of which represents the corresponding virtual source location information according to the present invention
  • FlG. 11 is a block diagram of an apparatus for decoding an encoded multi-channel audio signal according to an exemplary embodiment of the present invention.
  • FlG. 12 is a block diagram illustrating a process of calculating per-channel gains of a downmixed audio signal using Virtual Source Location Information (VSLI) according to an exemplary embodiment of the present invention.
  • VSLI Virtual Source Location Information
  • FIG. 1 is a block diagram of an apparatus for encoding a multi-channel audio signal according to an exemplary embodiment of the present invention.
  • the multi-channel audio signal encoding apparatus includes a frame converter 100, a downmixer 110, an Advanced Audio Coding (AAC) encoder 120, a multiplexer 130, a quantizer 140, and a Virtual Source Location Information (VSLI) analyzer 150.
  • AAC Advanced Audio Coding
  • VSLI Virtual Source Location Information
  • the frame converter 100 frames the multi-channel audio signal, using a window function such as a sine window, to process the multi-channel audio signal in each block.
  • the downmixer 110 receives the framed multi-channel audio signal from the frame converter 100 and downmixes it into a monophonic signal or a stereophonic signal.
  • the AAC encoder 120 compresses the downmixed audio signal received from the downmixer 110, to generate an AAC encoded signal. It then transmits the AAC encoded signal to the multiplexer 130.
  • the VSLI analyzer 150 extracts Virtual Source Location Information (VSLI) from the framed audio signal.
  • the VSLI analyzer 150 may include a time- to-frequency converter 151, an Equivalent Rectangular Bandwidth (ERB) filter bank 152, an energy vector detector 153, and a location estimator 154.
  • ERP Equivalent Rectangular Bandwidth
  • the time-to-frequency converter 151 performs a plurality of Fast Fourier
  • FFTs Transforms
  • the ERB filter bank 152 divides the converted frequency domain signal (spectrum) into per-band spectrums (for example, 20 bands).
  • FlG. 2 is a conceptual diagram of a time-to-frequency lattice using the ERB filter bank 152.
  • the energy vector extractor 153 estimates per-channel energy vectors from the cor ⁇ responding per-band spectrum.
  • the location estimator 154 estimates virtual source location information (VSLI) using the per-channel energy vectors estimated by the energy vector extractor 153.
  • the VSLI may be represented using azimuth angles between the source location vectors and a center channel.
  • the VSLI estimated by the location estimator 154 can vary depending on whether the downmixed audio signal is monophonic or stereophonic.
  • FIG. 3 is a conceptual diagram illustrating the source location vectors estimated according to the present invention, in the case where the downmixed audio signal is monophonic.
  • the source location vectors estimated from the downmixed monophonic signal include a Left Half-plane Vector (LHV), a Right Half- plane Vector (RHV), a Left Subsequent Vector (LSV), a Right Subsequent Vector (RSV), and a Global Vector (GV).
  • LHV Left Half-plane Vector
  • RHV Right Half- plane Vector
  • LSV Left Subsequent Vector
  • RSV Right Subsequent Vector
  • GV Global Vector
  • FIG. 4 is a conceptual diagram illustrating the source location vectors estimated according to the present invention, in the case where the downmixed multi-channel audio signal is stereophonic.
  • the source location vectors estimated from the downmixed monophonic signal include the LHV, the RHV, the LSV, and the RSV, but not the GV.
  • the quantizer 140 quantizes the VSLI (azimuth angles) received from the VSLI analyzer 150 and transmits the quantized VSLI signal to the multiplexer 130.
  • the multiplexer 130 receives the AAC encoded signal from the AAC encoder 120 and the quantized VSLI signal from the quantizer 140 and multiplexes them to generate an encoded multi-channel audio signal (i.e., the AAC encoded signal +the VSLI signal).
  • FIG. 5 is a conceptual diagram illustrating a process of estimating the VSLI according to an exemplary embodiment of the present invention.
  • the input multi-channel audio signal is comprised of five channels including center (C), front left (L), front right (R), left subsequent (LS), and right subsequent (RS)
  • the input signal is converted into the frequency axis signal through the plurality of FFTs and divided into N number of frequency bands (BAND 1, BAND 2,..., and BAND N) in the ERB filter bank 152.
  • the per-channel energy vectors may be detected from the power of each of the five channels for each band (for example, Cl PWR, Ll PWR, Rl PWR, LSI PWR, and RSl PWR).
  • CPP Constant Power Panning
  • the source location vectors may be estimated from the detected per-channel energy vectors and the azimuth angles between the source location vectors and the center channel, which represent VSLI, may be estimated.
  • FlG. 6 to 9 illustrate detailed processes of estimating the VSLI according to the present invention.
  • the per-channel energy vectors estimated using the energy vector estimator are a center channel energy vector (C), a front left channel energy vector (L), a left subsequent channel energy vector (LS), a front right channel energy vector (R), and a right subsequent channel energy vector (RS).
  • the LHV is estimated using the front left channel energy vector (L) and the left subsequent channel energy vector (LS)
  • the RHV is estimated using the front right channel energy vector (R) and the right subsequent channel energy vector (RS) (Refer to HG. 7).
  • the LSV and RSV may be estimated using the LHV, the RHV, and the center channel energy vector (C) (Refer to FlG. 8).
  • the gain of each channel can be calculated using only the LHV, RHV, LSV, and RSV.
  • the GV can be calculated using the LSV and RSV (Refer to HG. 9).
  • the magnitude of the GV is set to the magnitude of the downmixed audio signal.
  • the source location vectors extracted using the above method may be expressed using the azimuth angles between themselves and the center channel.
  • FlG. 10 il ⁇ lustrates the azimuth angles of the source location vectors extracted by the processes shown in FIGS. 6 to 9.
  • the VSLI may be expressed using five azimuth angles, which include a Left Half-plane vector angle (LHa), a Right Half-plane vector angle (RHa), a Left Subsequent vector angle (LSa), and a Right Subsequent vector angle (RSa), and further include a Global vector angle (Ga) in the case where the downmixed audio signal is monophonic. Since each value has a limited dynamic range, quantization can be performed using fewer bits than Inter-Channel Level Difference (ICLD).
  • ICLD Inter-Channel Level Difference
  • a linear quantization method in which quantization is performed in uniform intervals or a nonlinear quantization method in which quantization is performed in non-uniform intervals may be used.
  • the linear quantization method is based on Equation
  • represents the magnitude of an angle to be quantized and the cor ⁇ responding quantization index can be obtained from quantization level Q.
  • represents the maximal variance level of each angle. i,max
  • 180° ⁇ and ⁇ equal 15° and ⁇ and ⁇ l,max 2,max 3, max 4,max 5, max equal 55°.
  • a maximal variance interval of each angle magnitude is limited, and therefore more effective and higher resolution quantization can be provided.
  • the Ga has a generation frequency with a roughly symmetrical distribution centered on a center speaker. In other words, since the Ga varies evenly about the center speaker, it can be assumed that the generation distribution has an average expectation value of 0°. Accordingly, for the Ga, a more effective quantization level can be obtained when quantization is performed using the nonlinear quantization method.
  • the nonlinear quantization method is performed in a general m-law scheme, and m value can be determined depending on a resolution of the quantization level. For example, when the resolution is low, a relatively large m value may be used (15 ⁇ ⁇ 255), and when the resolution is high, a smaller m value (0 ⁇ 5) may be used to perform the nonlinear quantization.
  • FIG. 11 is a block diagram illustrating an apparatus for decoding an encoded multi ⁇ channel audio signal according to an exemplary embodiment of the present invention.
  • the multi-channel audio signal decoding apparatus includes a signal distributor 1110, an AAC decoder 1120, a time-to-frequency converter 1130, an inverse quantizer 1140, a per-band channel gain distributor 1150, a multi-channel spectrum synthesizer 1160, and a frequency-to-time converter 1170.
  • the signal distributor 1110 separates the encoded multi-channel audio signal back into the AAC encoded signal and the VLSI encoded signal, respectively.
  • the AAC decoder 1120 converts the AAC encoded signal back into the downmixed audio signal (monophonic or stereophonic signal).
  • the converted downmixed audio signal can be used to produce monophonic or stereophonic sound.
  • the time-to-frequency converter 1130 converts the downmixed audio signal into a frequency axis signal and transmits it to the multi-channel spectrum synthesizer 1160.
  • the inverse quantizer 1140 receives the separated VSLI encoded signal from the signal distributor 1110 and produces per-band source location vector information from the received VSLI encoded signal.
  • the VSLI includes azimuth angle information (for example, LHa, RHa, LSa, RSa, and Ga in the case where the downmixed audio signal is monophonic), each of which represents the corresponding per-band source location vector.
  • the source location vector is produced from the VSLI.
  • the per-band channel gain distributor 1150 calculates the gain per channel using the per-band VSLI signal converted by the inverse quantizer 1140, and transmits the calculated gain to the multi-channel spectrum synthesizer 1160.
  • the multi-channel spectrum synthesizer 1160 receives a spectrum of the downmixed audio signal from the time-to-frequency converter 1130, separates the received spectrum into per-band spectrums using the ERB filter bank, and restores the spectrum of the multi-channel signal using per-band channel gains output from the per- band channel gain distributor 1150.
  • the frequency-to-time converter 1170 (for example, IFFF) converts the spectrum of the restored multi-channel signal into a time axis signal to generate the multi-channel audio signal.
  • FIG. 12 is a block diagram illustrating a process of calculating the per-channel gain of the downmixed audio signal using the VSLI according to an exemplary embodiment of the present invention.
  • the downmixed audio signal is monophonic is illustrated.
  • block 1210 is omitted.
  • magnitudes of the LSV and the RSV are calculated using the magnitude of the downmixed monophonic signal, which is the magnitude of the GV, and the angle (Ga) of the GV.
  • magnitudes of the LHV and the first gain of the center channel (C) are calculated using the magnitude and angle (LSa) of the LSV (Block 1220).
  • the gain of the center channel (C) is obtained by summing the first gain and the second gain calculated in the above process (block 1240).
  • gains of the front left channel (L) and the left subsequent channel (LS) are calculated using the magnitude of the LHV and the corresponding angle (LHa) (block 1250), and gains of the front right channel (R) and the right subsequent channel (RS) are calculated using the magnitude of the RHV and the corresponding angle (RHa) (block 1260). According to the above processes, the gains of all channels can be calculated.
  • a multi-channel audio signal can be more ef ⁇ fectively encoded/decoded using virtual source location information, and more realistic audio signal reproduction in a multi-channel environment can be realized.

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Acoustics & Sound (AREA)
  • Signal Processing (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Health & Medical Sciences (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Human Computer Interaction (AREA)
  • Stereophonic System (AREA)
  • Compression, Expansion, Code Conversion, And Decoders (AREA)

Abstract

L'invention concerne un procédé et un dispositif destinés à coder/décoder un signal audio multicanal. Cet appareil de codage d'un signal audio multicanal comprend un convertisseur de trame destiné à convertir le signal audio multicanal en un signal audio tramé, une unité permettant de mélanger-abaisser le signal audio tramé, une unité destinée à coder le signal audio mélangé-abaissé, un estimateur d'informations d'emplacement de source servant à estimer les informations d'emplacement de source à partir du signal audio multicanal tramé, une unité destinée à quantifier les informations d'emplacement de source estimées, et une unité permettant de multiplexer le signal audio codé et les informations d'emplacement de source quantifiées en vue de la génération d'un signal audio multicanal.
PCT/KR2005/002213 2004-07-09 2005-07-08 Procede et dispositif destines a coder et decoder un signal audio multicanal au moyen d'informations d'emplacement de source virtuelle Ceased WO2006006809A1 (fr)

Priority Applications (5)

Application Number Priority Date Filing Date Title
DE602005023738T DE602005023738D1 (de) 2004-07-09 2005-07-08 Verfahren und vorrichtung zum codieren und decodieren eines mehrkanaligen audiosignals unter verwendung von virtuelle-quelle-ortsinformationen
AT05774399T ATE482451T1 (de) 2004-07-09 2005-07-08 Verfahren und vorrichtung zum codieren und decodieren eines mehrkanaligen audiosignals unter verwendung von virtuelle-quelle-ortsinformationen
US11/631,009 US7783495B2 (en) 2004-07-09 2005-07-08 Method and apparatus for encoding and decoding multi-channel audio signal using virtual source location information
EP05774399A EP1779385B1 (fr) 2004-07-09 2005-07-08 Procede et dispositif destines a coder et decoder un signal audio multicanal au moyen d'informations d'emplacement de source virtuelle
CN2005800232313A CN101002261B (zh) 2004-07-09 2005-07-08 使用虚拟源位置信息编码和解码多声道音频信号的方法和装置

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KR20040053665 2004-07-09
KR10-2004-0053665 2004-07-09
KR10-2004-0081303 2004-10-12
KR20040081303 2004-10-12
KR10-2005-0061425 2005-07-07
KR1020050061425A KR100663729B1 (ko) 2004-07-09 2005-07-07 가상 음원 위치 정보를 이용한 멀티채널 오디오 신호부호화 및 복호화 방법 및 장치

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WO2008006938A1 (fr) * 2006-07-08 2008-01-17 Nokia Corporation Décodage dynamique de signaux audio binauraux
WO2011044064A1 (fr) * 2009-10-05 2011-04-14 Harman International Industries, Incorporated Système pour l'extraction spatiale de signaux audio
US8180067B2 (en) 2006-04-28 2012-05-15 Harman International Industries, Incorporated System for selectively extracting components of an audio input signal
US8311227B2 (en) 2006-12-07 2012-11-13 Lg Electronics Inc. Method and an apparatus for decoding an audio signal
CN103635964A (zh) * 2011-06-30 2014-03-12 汤姆逊许可公司 改变包含在高阶高保真度立体声响复制表示中声音对象相对位置的方法以及装置
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EP3297298A1 (fr) * 2016-09-19 2018-03-21 A-Volute Procédé de reproduction de sons répartis dans l'espace

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CN107591158B (zh) 2012-05-18 2020-10-27 杜比实验室特许公司 用于维持与参数音频编码器相关联的可逆动态范围控制信息的系统
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US8180067B2 (en) 2006-04-28 2012-05-15 Harman International Industries, Incorporated System for selectively extracting components of an audio input signal
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