WO2022143522A1 - Procédé et appareil de traitement de signal sonore, et dispositif électronique - Google Patents
Procédé et appareil de traitement de signal sonore, et dispositif électronique Download PDFInfo
- Publication number
- WO2022143522A1 WO2022143522A1 PCT/CN2021/141628 CN2021141628W WO2022143522A1 WO 2022143522 A1 WO2022143522 A1 WO 2022143522A1 CN 2021141628 W CN2021141628 W CN 2021141628W WO 2022143522 A1 WO2022143522 A1 WO 2022143522A1
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- WO
- WIPO (PCT)
- Prior art keywords
- noise reduction
- audio signal
- signal
- frequency
- target
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- 230000005236 sound signal Effects 0.000 title claims abstract description 260
- 238000003672 processing method Methods 0.000 title claims abstract description 31
- 238000000034 method Methods 0.000 claims description 30
- 238000011946 reduction process Methods 0.000 claims description 9
- 238000004891 communication Methods 0.000 claims description 8
- 230000015572 biosynthetic process Effects 0.000 claims description 4
- 238000003786 synthesis reaction Methods 0.000 claims description 4
- 238000004590 computer program Methods 0.000 claims 3
- 230000002194 synthesizing effect Effects 0.000 claims 1
- 230000000694 effects Effects 0.000 description 19
- 238000010586 diagram Methods 0.000 description 9
- 238000013528 artificial neural network Methods 0.000 description 6
- 230000006870 function Effects 0.000 description 6
- 230000001629 suppression Effects 0.000 description 5
- 230000003044 adaptive effect Effects 0.000 description 2
- 241000699670 Mus sp. Species 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R3/00—Circuits for transducers, loudspeakers or microphones
- H04R3/04—Circuits for transducers, loudspeakers or microphones for correcting frequency response
Definitions
- the above noise reduction processing may include at least one of the following: DSP noise reduction algorithm processing, and residual echo suppression processing.
- the audio signal processing apparatus may use the second algorithm to obtain another noise reduction parameter based on the determined one default noise reduction parameter, and The other noise reduction parameter is determined as the target noise reduction parameter.
- the audio signal processing apparatus can divide the first audio signal into a low-frequency signal and a high-frequency signal, and respectively perform noise reduction processing with different noise reduction amounts on the low-frequency signal and the high-frequency signal, and, after the noise reduction processing
- the low-frequency signal and the high-frequency signal after the noise reduction process are synthesized and processed. Therefore, the voiced voice can be damaged in the voice signal after the noise reduction process, so as to avoid the reduction of the clarity of the voice signal after the noise reduction process. , in this way, the effect of noise reduction processing performed on the audio signal by the audio signal processing apparatus can be improved.
Abstract
La présente demande concerne un procédé et un appareil de traitement de signal sonore, ainsi qu'un dispositif électronique. Le procédé de traitement de signal sonore comprend les étapes suivantes : acquérir un signal basse fréquence dans un premier signal sonore, le signal basse fréquence étant un signal sonore dont la fréquence se situe dans une plage de fréquences prédéfinie, et le signal basse fréquence comprenant M points de fréquence; déterminer M valeurs de probabilité respectivement en fonction de valeurs d'énergie des M points de fréquence, chaque valeur de probabilité étant utilisée pour indiquer la probabilité qu'il y ait un signal vocal au point de fréquence correspondant; sur la base des M valeurs de probabilité, déterminer un paramètre de réduction de bruit cible, le paramètre de réduction de bruit cible étant utilisé pour représenter une quantité de réduction de bruit d'un dispositif électronique effectuant un traitement de réduction de bruit sur le signal sonore; et sur la base du paramètre de réduction de bruit cible, réaliser un traitement de réduction de bruit sur le signal basse fréquence.
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Application Number | Priority Date | Filing Date | Title |
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CN202011628024.3 | 2020-12-31 | ||
CN202011628024.3A CN112969130A (zh) | 2020-12-31 | 2020-12-31 | 音频信号处理方法、装置和电子设备 |
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WO2022143522A1 true WO2022143522A1 (fr) | 2022-07-07 |
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PCT/CN2021/141628 WO2022143522A1 (fr) | 2020-12-31 | 2021-12-27 | Procédé et appareil de traitement de signal sonore, et dispositif électronique |
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CN (1) | CN112969130A (fr) |
WO (1) | WO2022143522A1 (fr) |
Families Citing this family (2)
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CN112969130A (zh) * | 2020-12-31 | 2021-06-15 | 维沃移动通信有限公司 | 音频信号处理方法、装置和电子设备 |
CN113556654B (zh) * | 2021-07-16 | 2022-11-22 | RealMe重庆移动通信有限公司 | 音频数据处理方法和装置、电子设备 |
Citations (6)
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CN104424954A (zh) * | 2013-08-20 | 2015-03-18 | 华为技术有限公司 | 噪声估计方法与装置 |
US20150127331A1 (en) * | 2013-11-07 | 2015-05-07 | Continental Automotive Systems, Inc. | Speech probability presence modifier improving log-mmse based noise suppression performance |
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CN111477243A (zh) * | 2020-04-16 | 2020-07-31 | 维沃移动通信有限公司 | 音频信号处理方法及电子设备 |
CN112969130A (zh) * | 2020-12-31 | 2021-06-15 | 维沃移动通信有限公司 | 音频信号处理方法、装置和电子设备 |
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WO2000072305A2 (fr) * | 1999-05-19 | 2000-11-30 | Noisecom Aps | Procede et dispositif de reduction du bruit dans des signaux vocaux |
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US9721580B2 (en) * | 2014-03-31 | 2017-08-01 | Google Inc. | Situation dependent transient suppression |
CN108074582B (zh) * | 2016-11-10 | 2021-08-06 | 电信科学技术研究院 | 一种噪声抑制信噪比估计方法和用户终端 |
CN108831508A (zh) * | 2018-06-13 | 2018-11-16 | 百度在线网络技术(北京)有限公司 | 语音活动检测方法、装置和设备 |
CN109616139B (zh) * | 2018-12-25 | 2023-11-03 | 平安科技(深圳)有限公司 | 语音信号噪声功率谱密度估计方法和装置 |
CN110827858B (zh) * | 2019-11-26 | 2022-06-10 | 思必驰科技股份有限公司 | 语音端点检测方法及系统 |
CN110890104B (zh) * | 2019-11-26 | 2022-05-03 | 思必驰科技股份有限公司 | 语音端点检测方法及系统 |
CN111899752B (zh) * | 2020-07-13 | 2023-01-10 | 紫光展锐(重庆)科技有限公司 | 快速计算语音存在概率的噪声抑制方法及装置、存储介质、终端 |
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2020
- 2020-12-31 CN CN202011628024.3A patent/CN112969130A/zh active Pending
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2021
- 2021-12-27 WO PCT/CN2021/141628 patent/WO2022143522A1/fr active Application Filing
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
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CN102938254A (zh) * | 2012-10-24 | 2013-02-20 | 中国科学技术大学 | 一种语音信号增强系统和方法 |
CN104424954A (zh) * | 2013-08-20 | 2015-03-18 | 华为技术有限公司 | 噪声估计方法与装置 |
US20150127331A1 (en) * | 2013-11-07 | 2015-05-07 | Continental Automotive Systems, Inc. | Speech probability presence modifier improving log-mmse based noise suppression performance |
CN110875054A (zh) * | 2018-08-31 | 2020-03-10 | 阿里巴巴集团控股有限公司 | 一种远场噪声抑制方法、装置和系统 |
CN111477243A (zh) * | 2020-04-16 | 2020-07-31 | 维沃移动通信有限公司 | 音频信号处理方法及电子设备 |
CN112969130A (zh) * | 2020-12-31 | 2021-06-15 | 维沃移动通信有限公司 | 音频信号处理方法、装置和电子设备 |
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CN112969130A (zh) | 2021-06-15 |
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