CN107105384A - The synthetic method of near field virtual sound image on a kind of middle vertical plane - Google Patents
The synthetic method of near field virtual sound image on a kind of middle vertical plane Download PDFInfo
- Publication number
- CN107105384A CN107105384A CN201710347867.8A CN201710347867A CN107105384A CN 107105384 A CN107105384 A CN 107105384A CN 201710347867 A CN201710347867 A CN 201710347867A CN 107105384 A CN107105384 A CN 107105384A
- Authority
- CN
- China
- Prior art keywords
- hrtf
- field
- vertical plane
- middle vertical
- far
- 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
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04S—STEREOPHONIC SYSTEMS
- H04S7/00—Indicating arrangements; Control arrangements, e.g. balance control
- H04S7/30—Control circuits for electronic adaptation of the sound field
- H04S7/302—Electronic adaptation of stereophonic sound system to listener position or orientation
- H04S7/303—Tracking of listener position or orientation
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04S—STEREOPHONIC SYSTEMS
- H04S7/00—Indicating arrangements; Control arrangements, e.g. balance control
- H04S7/30—Control circuits for electronic adaptation of the sound field
- H04S7/302—Electronic adaptation of stereophonic sound system to listener position or orientation
- H04S7/303—Tracking of listener position or orientation
- H04S7/304—For headphones
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04S—STEREOPHONIC SYSTEMS
- H04S2420/00—Techniques used stereophonic systems covered by H04S but not provided for in its groups
- H04S2420/01—Enhancing the perception of the sound image or of the spatial distribution using head related transfer functions [HRTF's] or equivalents thereof, e.g. interaural time difference [ITD] or interaural level difference [ILD]
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Acoustics & Sound (AREA)
- Signal Processing (AREA)
- Stereophonic System (AREA)
Abstract
The present invention relates to a kind of synthetic method of near field virtual sound image on middle vertical plane, comprise the following steps：Known far field head-position difficult labor HRTFfar, wherein sound source and head center apart from D；Determine near-field target acoustic image and head center on number of people radius a and middle vertical plane apart from d；According to formula, auris dextra R angle correction θ is calculated；Extract far field HRTFfar(θ, R) as near-field target acoustic image auris dextra HRTF；According to the bilateral symmetry of middle vertical plane, far field HRTF is extractedfar(θ, L) as near-field target acoustic image left ear HRTF；The ears HRTF of near-field target acoustic image and input acoustical signal are subjected to convolution, the 3D virtual playbacks of the middle vertical plane near field acoustic image based on earphone can be achieved.The method that the present invention is provided deduces near-field HRTF using far field HRTF, can easily realize the synthesis of middle vertical plane near field virtual sound image, saves the cumbersome measurement process of near-field HRTF.
Description
Technical field
The present invention relates to 3D virtual sound technologies field, and in particular to a kind of near field middle vertical plane Virtual Sound based on far-field information
Synthetic method.
Background technology
Virtual Sound resets the virtual sound image that specific dimensional orientation is simulated using the method for Underwater Acoustic channels, so that hearer produces
Raw feeling of immersion and telepresenc.Because reproducing device (be typically earphone) is simple, portable, Virtual Sound is reset in multimedia computer, individual
The fields such as people's audio mobile terminal have a wide range of applications.Head-position difficult labor (head-related transfer
Function, HRTF) it is the key that virtual sound signal is handled.HRTF is acoustic transmission letter of the sound source to ears in the case of free field
Number is related to sound bearing, distance, frequency of sound wave, hearer's physiological structure etc..When the distance of sound source to listener head is more than 1.0
Rice, HRTF changes, referred to as far field HRTF little with distance；And when the distance of sound source to listener head is less than 1.0 meters, HRTF
Occur significant change, referred to as near-field HRTF with distance.Near-field HRTF contains the information of sound source Distance positioning, therefore it is in ears
It is significant in the research of Distance positioning mechanism；Meanwhile, with the popularization (such as mobile phone) of hand-held playback equipment, it is also desirable to
The signal transacting of near field Virtual Sound playback is carried out using near-field HRTF.
At present, near-field HRTF data are mainly obtained by measurement.In actual near-field HRTF measurement, it is primarily present following
The difficulty of three aspects：(1) because measurement sound source and subject are nearer, multiple scattering and diffraction will inevitably occur for sound wave
Problem, it is therefore desirable to specific small size sound source；(2) due to near-field HRTF and distance dependent, it is therefore desirable to measure respectively different
The HRTF of distance, its workload is very big.(3) relevant with the physiological structure of subject (such as head size, auricle is trickle by HRTF
Structure etc.).In principle, in order to obtain optimal sound replaying effect, it is necessary to measure the near field of each hearer (i.e. subject)
HRTF.At present, existing multiple seminars establish far field HRTF databases, and disclose on the internet, such as MIT and CIPIC
HRTF databases.If the near-field HRTF of different distance can be derived using known far field HRTF, that can just be avoided
The difficulty of near-field HRTF measurement is stated, the convenient acquisition of near-field HRTF is realized.
The space orientation of acoustic image is broadly divided into horizontal direction positioning and vertical direction positioning.Level orientation positioning is mainly depended on
In left and right ear HRTF difference, and vertical direction positioning (Sound image localization particularly on middle vertical plane) relies primarily on HRTF's
Spectrum signature.Therefore, the degree of accuracy of HRTF spectrum signature determines the degree of accuracy of middle vertical plane Sound image localization；In middle vertical plane far field
, it is necessary to pay special attention to the accurate reproduction of near-field HRTF spectrum signature during HRTF derivation near-field HRTFs.
Generally, HRTF correlative study (including existing database) is using head centre coordinate system, wherein HRTF angle
It is defined as angle of the sound source relative to head center.However, HRTF is defined as sound source to the transfer function of ears, HRTF data in itself
It is also to be picked up at ears.Therefore, during far field HRTF derives near-field HRTF, in order to ensure near-field HRTF frequency
The accuracy of spectrum signature is, it is necessary to consider angle of the sound source relative to ear (rather than head center).Calculating shows that far field sound source is relative
In head center and roughly equal relative to the angle of ear；And near-field sound source relative to head center and relative to ear angle exist compared with
Large deviation, it might even be possible to reach 30 °.This means in the case of common head centre coordinate system, it is impossible to directly uses far field HRTF
The near-field HRTF with angle is derived, it is necessary to consider angle of the near-field sound source in the case of two kinds of ears coordinate system and head centre coordinate system
Spend deviation.
The content of the invention
The angular deviation problem during near-field HRTF is derived for far field HRTF, angle is based on the invention provides one kind
The acquisition methods of the middle vertical plane near-field HRTF of amendment.The present invention has identical angle to ear as starting point using remote, near sound source, pushes away
Middle vertical plane near-field HRTF far field HRTF corresponding in head centre coordinate system angle (i.e. angle correction) is exported, and then from
Corresponding ears HRTF data are extracted in the far field HRTF databases of some use head centre coordinate systems, for follow-up synthesis middle vertical plane
Near field virtual sound image.This method can accurately, easily synthesize the virtual sound image at any sound source distance of middle vertical plane.
The purpose of the present invention is achieved through the following technical solutions.
The synthetic method of near field virtual sound image on a kind of middle vertical plane, including step：
Step 1, input given data, including far field HRTF baseline databases, three distance parameters, three described distances
Parameter includes far field sound source and the distance at near-field target acoustic image and head center on D, number of people radius a, middle vertical plane at head center
d；
Step 2 calculates auris dextra R angle correction θ according to formula：
Wherein, change near-field target acoustic image and head center on middle vertical plane apart from d, it is possible to obtain the different distances of near field
Angle correction；
Step 3, extraction far field HRTFfar(θ, R) is used as the auris dextra HRTF of near-field target acoustic image, i.e. HRTFnear(R)；Extract
Far field HRTFfar(- θ, L) as near-field target acoustic image left ear HRTF, i.e. HRTFnear(L)；
Step 4, the ears HRTF by near-field target acoustic imagenearConvolution is carried out with input acoustical signal, and feeds and earphone or raises
Sound device carries out low voice speaking put.
Further, the far field is the region beyond 1 meter of head center, the near field be apart from 1 meter of head center with
Interior region.
Further, the HRTF in far field feature does not change with distance, and the HRTF near field feature is with distance
And change.
Further, the multiple far field HRTF databases being disclosed before the feelings the pulse with the finger-tip of HRTF baseline databases described in step 1,
Including Massachusetts Institute Technology's MIT HRTF databases, California, USA university Davis branch school CIPIC HRTF data
Storehouse.
Further, the number of people radius a described in step 1 averages as 8.75cm.
Further, the number of people radius a described in step 1 is obtained by direct measurement.
Further, the binaural signals synthesized in step 4 are directly fed to Headphone reproducing；When using speaker playback,
Then need to insert string sound elimination algorithm.
The present invention principle be：The sound wave that any sound source in space is sent, by with hearer's physiological structure (for example head, auricle,
Trunk etc.) interaction after, reach ears.HRTF reflects the change of sound wave during the above-mentioned sound transmission.No matter far field or
Near field, as long as sound source is identical relative to the azimuth of ear, corresponding sound transmission process is identical, therefore same angle (relative to
For ear) remote near-field HRTF there is highly similar spectrum structure.Here it is deducing the reason of near-field HRTF using far field HRTF
By basis.However, far field HRTF research and database often use head centre coordinate system.Research is found, due near field sound
There is obvious angular deviation relative to head center and relative to ear in source.This means the far and near field of the same angle for ear
HRTF is different angles in head centre coordinate system.If deriving near field using the far field HRTF of existing head centre coordinate system
HRTF must carry out angle modification, to ensure that the far field HRTF extracted and near-field target HRTF is same angle for ear
's.Accuracy in view of HRTF frequency spectrums is vital, emphasis of the present invention for the accurate reproduction of middle vertical plane virtual sound image
The angle modification formula on middle vertical plane is derived.Similar method can also be generalized to beyond middle vertical plane.
Compared with prior art, advantage of the invention is that：
(1) near-field HRTF data are derived using existing far field HRTF data, can thoroughly avoids numerous and diverse near-field HRTF
Measurement；
(2) near-field HRTF is considered relative to ear and relative to the angular deviation at head center, employs corresponding amendment public
Formula, so as to improve the accuracy that far field HRTF derives near-field HRTF；
(3) software that the present invention can be worked out using algorithmic language is realized on multimedia computer, it would however also be possible to employ letter
Number process chip circuit or special integrated circuit are realized, are played and are set for multimedia computer, various handheld portable audios
Closely Virtual Sound in terms of standby (such as mobile phone) is reset.
Brief description of the drawings
Fig. 1 is the realization principle figure of the present invention.
Fig. 2 is the schematic diagram of angle modification of the present invention.
Fig. 3 is the signal flow graph of the multimedia computer realization of the embodiment of the present invention.
Embodiment
The present invention is described further below in conjunction with the accompanying drawings, but the claimed scope of the invention is not limited to implement
The scope that example is represented.
Fig. 1 is the realization principle figure of the synthetic method of near field virtual sound image on a kind of middle vertical plane of the invention.It is considered closely
Sound source is deduced corresponding angle modification formula relative to head center and the angular deviation relative to ear in the case of.According to
Angle modification formula, can accurately extract near-field target HRTF data from HRTF baseline databases known to far field, so that it is guaranteed that
The accuracy that near field virtual sound image is synthesized on middle vertical plane.The synthetic method of near field virtual sound image can be avoided multiple on this middle vertical plane
The measurement of miscellaneous near-field HRTF, can easily obtain the virtual sound image of any distance of near field.
The synthetic method of near field virtual sound image on a kind of middle vertical plane, including step：
Step 1, input given data, including far field HRTF baseline databases, three distance parameters, three described distances
Parameter includes far field sound source and the distance at near-field target acoustic image and head center on D, number of people radius a, middle vertical plane at head center
d；
Step 2, according to formula, calculate auris dextra R angle correction θ：
Wherein, change near-field target acoustic image and head center on middle vertical plane apart from d, it is possible to obtain the different distances of near field
Angle correction；
Step 3, extraction far field HRTFfar(θ, R) is used as the auris dextra HRTF of near-field target acoustic image, i.e. HRTFnear(R)；Extract
Far field HRTFfar(- θ, L) as near-field target acoustic image left ear HRTF, i.e. HRTFnear(L)；
Step 4, the ears HRTF by near-field target acoustic imagenearConvolution is carried out with input acoustical signal, and feeds and earphone or raises
Sound device carries out low voice speaking put.
Specifically, the far field is the region beyond 1 meter of head center, the near field be apart from 1 meter of head center with
Interior region.
Specifically, the HRTF in far field feature does not change with distance, and the HRTF near field feature is with distance
And change.
Specifically, the multiple far field HRTF databases being disclosed before the feelings the pulse with the finger-tip of HRTF baseline databases described in step 1,
Including Massachusetts Institute Technology's MIT HRTF databases, California, USA university Davis branch school CIPIC HRTF data
Storehouse.Wherein, disclosed HRTF baseline databases can all indicate the measurement distance of its data, i.e. far field sound source and the distance at head center
D。
Specifically, the number of people radius a described in step 1 averages as 8.75cm, can also be obtained by direct measurement
.It is for instance possible to use the three-dimensional dimension of somatosensory device (kinect that such as Microsoft produces) capture listener head, and then really
The head radius of fixed specific hearer.
Specifically, the binaural signals synthesized in step 4 can be directly fed to Headphone reproducing；If thought highly of using raising one's voice
Put, then need to insert string sound elimination algorithm.Wherein, the specific mathematical form of string sound elimination algorithm and the quantity of loudspeaker, put
Mode is all relevant.
Fig. 2 is the schematic diagram of angle modification.Because the visual angle of figure is overlooked downwards from the crown, so middle vertical plane (is defined as
The tangent plane that human body or so is divided equally) it is rendered as the dotted line that left and right divides head equally.Although a number of people not ideal in reality
It is spherical, but studied confirm it is spherical be the number of people a kind of good approximation；Simultaneously as the sense of hearing of the mankind has necessarily
Resolution ratio, it is this approximately to cause the sense of hearing to distort.In figure, O points represent head center, and A points represent auris dextra, and B points, which are represented, to be expected to close
Into near-field target acoustic image, ∠ BOC=θ represent correction angle, and C points represent acoustic image, OA=according to known to the far field that correction angle is determined
A, OB=d, OC=D.It can be seen that AB and AC is on same straight line, near field acoustic image B and far field acoustic image C relative to
The angle of auris dextra is identical, and corresponding far field and near-field HRTF have similar spectrum structure.Therefore, the HRTF of far field C points is extracted
As the HRTF of near field B points, i.e., near field B point HRTF are derived from far field C points HRTF, with reasonability.Fig. 3 is that computer is realized
Flow chart, can using matlab or C Plus Plus programming implement.
The above embodiment of the present invention is only intended to clearly illustrate example of the present invention, and is not to the present invention
Embodiment restriction.For those of ordinary skill in the field, it can also make on the basis of the above description
Other various forms of changes or variation.There is no necessity and possibility to exhaust all the enbodiments.It is all the present invention
Any modifications, equivalent substitutions and improvements made within spirit and principle etc., should be included in the protection of the claims in the present invention
Within the scope of.
Claims (7)
1. the synthetic method of near field virtual sound image on a kind of middle vertical plane, it is characterised in that including step：
Step 1, input given data, including far field HRTF baseline databases, three distance parameters, three described distance parameters
The near-field target acoustic image on D, number of people radius a, middle vertical plane and head center including far field sound source and head center apart from d；
Step 2, according to formula, calculate auris dextra R angle correction θ：
<mrow>
<mi>&theta;</mi>
<mo>=</mo>
<mi>a</mi>
<mi>r</mi>
<mi>c</mi>
<mi>s</mi>
<mi>i</mi>
<mi>n</mi>
<mrow>
<mo>(</mo>
<mfrac>
<mi>a</mi>
<msqrt>
<mrow>
<msup>
<mi>a</mi>
<mn>2</mn>
</msup>
<mo>+</mo>
<msup>
<mi>d</mi>
<mn>2</mn>
</msup>
</mrow>
</msqrt>
</mfrac>
<mo>)</mo>
</mrow>
<mo>-</mo>
<mi>a</mi>
<mi>r</mi>
<mi>c</mi>
<mi>s</mi>
<mi>i</mi>
<mi>n</mi>
<mrow>
<mo>(</mo>
<mfrac>
<mi>d</mi>
<mi>D</mi>
</mfrac>
<mo>&times;</mo>
<mfrac>
<mi>a</mi>
<msqrt>
<mrow>
<msup>
<mi>a</mi>
<mn>2</mn>
</msup>
<mo>+</mo>
<msup>
<mi>d</mi>
<mn>2</mn>
</msup>
</mrow>
</msqrt>
</mfrac>
<mo>)</mo>
</mrow>
<mo>;</mo>
</mrow>
Step 3, extraction far field HRTFfar(θ, R) is used as the auris dextra HRTF of near-field target acoustic image, i.e. HRTFnear(R)；Extract far field
HRTFfar(- θ, L) as near-field target acoustic image left ear HRTF, i.e. HRTFnear(L)；
Step 4, the ears HRTF by near-field target acoustic imagenearConvolution is carried out with input acoustical signal, and feeds earphone or loudspeaker enters
Row is low voice speaking to be put.
2. the synthetic method of near field virtual sound image on a kind of middle vertical plane as claimed in claim 1, it is characterised in that：The far field
For the region beyond 1 meter of head center, the near field is the region within 1 meter of head center.
3. the synthetic method of near field virtual sound image on a kind of middle vertical plane as claimed in claim 2, it is characterised in that：The far field
HRTF feature not with distance and change, and the HRTF near field feature with distance and change.
4. the synthetic method of near field virtual sound image on a kind of middle vertical plane as claimed in claim 1, it is characterised in that：In step 1
The multiple far field HRTF databases being disclosed before the HRTF baseline databases feeling the pulse with the finger-tip, including Massachusetts Institute Technology MIT
HRTF databases, California, USA university Davis branch school CIPIC HRTF databases.
5. the synthetic method of near field virtual sound image on a kind of middle vertical plane as claimed in claim 1, it is characterised in that：In step 1
Described number of people radius a averages as 8.75cm.
6. the synthetic method of near field virtual sound image on a kind of middle vertical plane as claimed in claim 1, it is characterised in that：In step 1
Described number of people radius a is obtained by direct measurement.
7. the synthetic method of near field virtual sound image on a kind of middle vertical plane as claimed in claim 1, it is characterised in that：In step 4
The binaural signals of synthesis are directly fed to Headphone reproducing；When using speaker playback, then need to insert string sound elimination algorithm.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710347867.8A CN107105384B (en) | 2017-05-17 | 2017-05-17 | The synthetic method of near field virtual sound image on a kind of middle vertical plane |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710347867.8A CN107105384B (en) | 2017-05-17 | 2017-05-17 | The synthetic method of near field virtual sound image on a kind of middle vertical plane |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107105384A true CN107105384A (en) | 2017-08-29 |
| CN107105384B CN107105384B (en) | 2018-11-02 |
Family
ID=59669348
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710347867.8A Expired - Fee Related CN107105384B (en) | 2017-05-17 | 2017-05-17 | The synthetic method of near field virtual sound image on a kind of middle vertical plane |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107105384B (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109286888A (en) * | 2018-10-29 | 2019-01-29 | 中国传媒大学 | A kind of audio-video on-line checking and virtual sound image generation method and device |
| CN109618274A (en) * | 2018-11-23 | 2019-04-12 | 华南理工大学 | A kind of Virtual Sound playback method, electronic equipment and medium based on angle map table |
| WO2020037984A1 (en) * | 2018-08-20 | 2020-02-27 | 华为技术有限公司 | Audio processing method and apparatus |
| WO2020037983A1 (en) * | 2018-08-20 | 2020-02-27 | 华为技术有限公司 | Audio processing method and apparatus |
| WO2020087678A1 (en) * | 2018-11-01 | 2020-05-07 | 华南理工大学 | Surround-sound virtual playback method in multi-channel three-dimensional space |
| CN111246345A (en) * | 2020-01-08 | 2020-06-05 | 华南理工大学 | Method and device for real-time virtual reproduction of remote sound field |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102572676A (en) * | 2012-01-16 | 2012-07-11 | 华南理工大学 | Real-time rendering method for virtual auditory environment |
| CN104284286A (en) * | 2013-07-04 | 2015-01-14 | Gn瑞声达A/S | DETERMINATION OF INDIVIDUAL HRTFs |
-
2017
- 2017-05-17 CN CN201710347867.8A patent/CN107105384B/en not_active Expired - Fee Related
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102572676A (en) * | 2012-01-16 | 2012-07-11 | 华南理工大学 | Real-time rendering method for virtual auditory environment |
| CN104284286A (en) * | 2013-07-04 | 2015-01-14 | Gn瑞声达A/S | DETERMINATION OF INDIVIDUAL HRTFs |
Non-Patent Citations (6)
| Title |
|---|
| CONGCONG PENG等: "Inter-individual differences of spectral cues in the median plane", 《2016 12TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD) 》 * |
| R.DURAISWAINI等: "Interpolation and range extrapolation of HRTFs", 《IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2004. PROCEEDINGS. (ICASSP "04)》 * |
| SIMONE SPAGNOL等: "HEARING DISTANCE: A LOW-COST MODEL FOR NEAR-FIELD BINAURAL EFFECTS", 《20TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2012)》 * |
| XUEJIE LIU等: "An improved anthropometry-based customization method of individual head-related transfer functions", 《2016 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)》 * |
| 余光正等: "近场头相关传输函数及其应用", 《泛在信息社会中的声学——中国声学学会2010年全国会员***暨学术会议论文集》 * |
| 钟小丽: "利用神经网络外推中垂面上低仰角HRTF的方法", 《华南理工大学学报(自然科学版)》 * |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2020037984A1 (en) * | 2018-08-20 | 2020-02-27 | 华为技术有限公司 | Audio processing method and apparatus |
| WO2020037983A1 (en) * | 2018-08-20 | 2020-02-27 | 华为技术有限公司 | Audio processing method and apparatus |
| US11451921B2 (en) | 2018-08-20 | 2022-09-20 | Huawei Technologies Co., Ltd. | Audio processing method and apparatus |
| US11611841B2 (en) | 2018-08-20 | 2023-03-21 | Huawei Technologies Co., Ltd. | Audio processing method and apparatus |
| US11863964B2 (en) | 2018-08-20 | 2024-01-02 | Huawei Technologies Co., Ltd. | Audio processing method and apparatus |
| US11910180B2 (en) | 2018-08-20 | 2024-02-20 | Huawei Technologies Co., Ltd. | Audio processing method and apparatus |
| CN109286888A (en) * | 2018-10-29 | 2019-01-29 | 中国传媒大学 | A kind of audio-video on-line checking and virtual sound image generation method and device |
| CN109286888B (en) * | 2018-10-29 | 2021-01-29 | 中国传媒大学 | Audio and video online detection and virtual sound image generation method and device |
| WO2020087678A1 (en) * | 2018-11-01 | 2020-05-07 | 华南理工大学 | Surround-sound virtual playback method in multi-channel three-dimensional space |
| US11962995B2 (en) | 2018-11-01 | 2024-04-16 | South China University Of Technology | Virtual playback method for surround-sound in multi-channel three-dimensional space |
| CN109618274A (en) * | 2018-11-23 | 2019-04-12 | 华南理工大学 | A kind of Virtual Sound playback method, electronic equipment and medium based on angle map table |
| CN111246345A (en) * | 2020-01-08 | 2020-06-05 | 华南理工大学 | Method and device for real-time virtual reproduction of remote sound field |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107105384B (en) | 2018-11-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107105384B (en) | The synthetic method of near field virtual sound image on a kind of middle vertical plane | |
| US10397722B2 (en) | Distributed audio capture and mixing | |
| Brinkmann et al. | A high resolution and full-spherical head-related transfer function database for different head-above-torso orientations | |
| US10609504B2 (en) | Audio signal processing method and apparatus for binaural rendering using phase response characteristics | |
| US10397728B2 (en) | Differential headtracking apparatus | |
| ES2526785T3 (en) | Apparatus and procedure to derive directional information and systems | |
| US10873814B2 (en) | Analysis of spatial metadata from multi-microphones having asymmetric geometry in devices | |
| Rafaely et al. | Interaural cross correlation in a sound field represented by spherical harmonics | |
| CN104904240B (en) | Apparatus and method and apparatus and method for generating multiple loudspeaker signals for generating multiple parameters audio stream | |
| US20160198282A1 (en) | Method, system and article of manufacture for processing spatial audio | |
| CN109804559A (en) | Gain control in spatial audio systems | |
| US10880669B2 (en) | Binaural sound source localization | |
| CN103607550B (en) | A kind of method according to beholder's position adjustment Television Virtual sound channel and TV | |
| BR112014013335B1 (en) | APPARATUS AND METHOD FOR MICROPHONE POSITIONING BASED ON A SPACE POWER DENSITY | |
| CN111050271B (en) | Method and apparatus for processing audio signal | |
| JP2009512364A (en) | Virtual audio simulation | |
| US9838790B2 (en) | Acquisition of spatialized sound data | |
| US10708679B2 (en) | Distributed audio capture and mixing | |
| CN110583030B (en) | Incoherent idempotent ambisonics rendering | |
| Hollebon et al. | Experimental study of various methods for low frequency spatial audio reproduction over loudspeakers | |
| Zhou et al. | Range extrapolation of head-related transfer function using improved higher order ambisonics | |
| CN103402158B (en) | Dimensional sound extension method for handheld playing device | |
| Koyama | Boundary integral approach to sound field transform and reproduction | |
| Tashev | Audio challenges in virtual and augmented reality devices | |
| Wu et al. | Improvements in HRTF dataset of 3D game audio application |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20181102 |