自适应滤波理论及其应用（回声抵消、有源噪声控制、啸叫抑制）

麦克风阵列信号处理（波束形成、去混响、盲源分离、声成像）

声场重建理论和虚拟环绕声技术（音效增强、HRTF）

基于深度学习的音频处理算法（合成语音鉴伪、声事件检测、骨导语音恢复）

   

081002-信号与信息处理
085400-电子信息

音频信号处理
通信声学信号处理及应用

本课题组毕业生主要就业于华为、荣耀、腾讯、小米、快手等企业。课题组招生要求：（1）扎实的数学功底;（2）坚实的声学或数字信号处理基础;（3）较好的代码能力

2010-09--2013-07   中科院声学所   博士
2005-09--2008-03   东南大学   硕士
2001-09--2005-07   山东大学   学士

   

2016-04~2017-04,德国波鸿鲁尔大学通信声学研究所, 访问学者
2013-07~现在, 中国科学院声学研究所, 研究员
2008-03~2010-07,富迪科技（南京）有限公司, 高级工程师

通信声学前沿技术讲座
通信声学

   

（1） 北京市科学技术进步奖, 二等奖, 省级, 2020
（2） 中国科学院优秀博士论文奖, , 院级, 2016
（3） 中国科学院院长奖优秀奖, , 院级, 2013
（4） 中国科学院/北京市优秀毕业生, , 院级, 2013

[1] 李长涛, 杨飞然, 聂浩, 杨军. 一种非空气传导语音的恢复系统及方法. 202311503693.1, 2023-11-13.
[2] 杨飞然, 杨军. 一种低延时自适应声反馈消除方法及装置. 2023113532710, 2023-10-25.
[3] 王劲夫, 郭剑锋, 杨飞然, 孙国华, 杨军. 基于语音信号先验概率特性的语音信号增强方法及系统. 202311349826.4, 2023-10-18.
[4] 刘杨, 杨飞然, 杨军. 一种时延估计系统及装置. 2022113803243, 2022-11-03.
[5] 王劲夫, 杨飞然, 孙国华, 杨军. 多通道语音信号增强方法和装置及计算机设备和存储介质. CN: CN114882898A, 2022-08-09.
[6] 王泰辉. 一种低时延音频信号超定盲源分离方法及分离装置. CN: CN114863944A, 2022-08-05.
[7] 张哲, 杨飞然, 杨军. 一种车内抗干扰自适应路噪主动控制方法及控制系统. CN: CN114582312A, 2022-06-03.
[8] 李长涛, 万伊, 杨飞然, 杨军. 基于深度自注意力神经网络分类器的合成语音检测方法. 202210401440.2, 2022-04-18.
[9] 王泰辉, 杨飞然, 杨军. 基于频域卷积传递函数的多通道非负矩阵分解方法及系统. 202210031383.3, 2022-01-12.
[10] 齐园蕾, 杨飞然, 杨军. 一种用于调节扬声器音量的多通道扩声系统及方法. CN: CN110830901B, 2021-03-16.
[11] 康坊, 杨飞然, 杨军. 一种低复杂度的频域盲分离方法及系统. CN: CN110010148A, 2019-07-12.
[12] 李楠, 杨飞然, 杨军. 一种无误差传声器的自适应主动降噪方法. CN: CN108428445A, 2018-08-21.
[13] 齐园蕾, 杨飞然, 杨军. 一种基于卡尔曼滤波的去混响方法及系统. CN: CN108172231A, 2018-06-15.
[14] 杨飞然, 朱睿, 朱乔茜, 杨军. 一种立体声音效增强系统. CN: CN106572419A, 2017-04-19.
[15] 朱睿, 杨飞然, 杨军. 一种复数窄带干扰信号的频率估计及抑制装置及其方法. CN: CN106533999A, 2017-03-22.
[16] 吴鸣, 杨飞然, 杨军. 一种非平稳噪声环境下传声器阵列的语音增强方法. CN: CN103165137A, 2013-06-19.
[17] 杨飞然, 吴鸣, 杨军. 基于回声频谱估计和语音存在概率的立体声回声抵消方法. CN: CN102739886A, 2012-10-17.
[18] 杨飞然, 吴鸣, 杨军. 一种用于通信系统中的回声抵消方法. CN: CN102739286A, 2012-10-17.
[19] 杨飞然, 杨军. 一种基于时间反转的声反馈抑制方法. CN: CN102740189A, 2012-10-17.
[20] 杨飞然, 吴鸣, 杨军. 一种基于反馈信号频谱估计的啸叫抑制方法. CN: CN102740214A, 2012-10-17.

期刊论文

[45] T. Wang, F. Yang, and J. Yang, “Multi-channel linear prediction based speech dereverberation considering sparse and low-rank priors,” IEEE/ACM Trans. Audio, Speech, Lang. Process., vol. 32, pp. 1724–1735, 2024.

[44] C. Li, F. Yang, and J. Yang, “Restoration of bone-conducted speech with U-net-like model and energy distance loss,” IEEE Signal Process. Lett., vol. 31, pp. 166–170, 2024.

[43] J. Wang, F. Yang, Z. Yan, and J. Yang, “Design of frequency-invariant uniform concentric circular arrays with first-order directional microphones,” Signal Process., vol. 217, Apr. 2024.

[42] Q. Shi, J. Wang, F. Yang, and J. Yang, “A note on the design of frequency-invariant beamformer with uniformly concentric circular microphone array,” Applied Acoustics, vol. 217, Feb. 2024.

[41] C. Li, F. Yang, and J. Yang, “A two-stage approach to quality restoration of bone-conducted speech,” IEEE/ACM Trans. Audio, Speech, Lang. Process., vol. 32, pp. 818–829, 2024.

[40] J. Wang, F. Yang, J. Li, H. Sun, and J. Yang, “Mode matching based beamforming with frequency-wise truncation order for concentric circular differential microphone arrays,” J. Acoust. Soc. Amer., vol. 154, no. 6, pp. 3931–3940, Dec. 2023.

[39] J. Wang, F. Yang, and J. Yang, “A general approach to the design of the fractional-order superdirective beamformer,” IEEE Trans. Circuits Syst. II, vol.70, no. 11, pp. 4291–4295, Nov. 2023.

[38] K. Kuang, F. Yang, J. Li, and J. Yang, “Three-stage hybrid neural beamformer for multi-channel speech enhancement,” J. Acoust. Soc. Amer., vol. 153, no. 6, pp. 3378–3389, Jun. 2023.

[37] J. Wang, F. Yang, and J. Yang, “A perspective on fully steerable differential beamformers for circular arrays,” IEEE Signal Process. Lett., vol. 30, pp. 648–652, May 2023.

[36] J. Wang, F. Yang, and J. Yang, “Insights into the MMSE-based frequency-invariant beamformers for uniform circular arrays,” IEEE Signal Process. Lett., vol. 29, pp. 2432–2436, Dec. 2022.

[35] F. Yang, “Analysis of unconstrained partitioned-block frequency-domain adaptive filters,” IEEE Signal Process. Lett., vol. 29, pp. 2377–2381, Nov. 2022.

[34] T. Wang, F. Yang, N. Li, C. Zhang, and J. Yang, “Low-latency independent vector analysis using convolutive transfer function,” Applied Acoustics, vol. 197, Aug. 2022.

[33] C. Li, F. Yang, and J. Yang, “The role of long-term dependency in synthetic speech detection,” IEEE Signal Process. Lett., vol. 29, pp. 1142–1146, Apr. 2022.

[32] T. Wang, F. Yang, and J. Yang, “Convolutive transfer function-based multichannel nonnegative matrix factorization for overdetermined blind source separation,” IEEE/ACM Trans. Audio, Speech, Lang. Process., vol. 30, pp. 802–815, Jan. 2022.

[31] F. Yang, “Analysis of deficient-length partitioned-block frequency-domain adaptive filters,” IEEE/ACM Trans. Audio, Speech, Lang. Process., vol. 30, pp. 456–467, Jan. 2022.

[30] F. Yang, G. Enzner, and J. Yang, “On the convergence behavior of partitioned-block frequency-domain adaptive filters,” IEEE Trans. Signal Process., vol. 69, pp. 4906–4920, Aug. 2021.

[29] S. Liu, F. Yang, Y. Cao, and J. Yang, “Frequency-dependent auto-pooling function for weakly supervised sound event detection,” EURASIP Journal on Audio, Speech, and Music Processing, 2021.

[28] F. Yang, G. Enzner, and J. Yang, “New insights into convergence theory of constrained frequency-domain adaptive filters,” Circuits Syst. Signal Process., vol. 40, pp. 2076–2090, Apr. 2021.

[27] Z. Yan, F. Yang, and J. Yang, “Optimum step-size control for a variable step-size stereo acoustic echo canceller in the frequency domain,” Speech Communication, vol. 124, pp. 21–27, Nov. 2020.

[26] F. Yang, J. Guo, and J. Yang, “Stochastic analysis of the filtered-x LMS algorithm for active noise control,” IEEE/ACM Trans. Audio, Speech, Lang. Process., vol. 28, pp. 2252–2266, 2020.

[25] J. Guo, F. Yang, and J. Yang, “Mean-square performance of the modified FxAP algorithm for active noise control,” Circuit Syst. Signal Process., vol. 39, no. 8, pp. 4243–4257, Aug. 2020.

[24] J. Guo, F. Yang, and J. Yang, “Convergence analysis of the conventional filtered-x affine projection algorithm for active noise control,” Signal Process., vol. 170, May, 2020.

[23] C. Lu, F. Yang, and J. Yang, “An adaptive time-domain Kalman filtering approach to acoustic feedback cancellation for hearing aids,” Chinese Journal of Electronics, pp. 139–146, Jan. 2020.

[22] F. Kang, F. Yang, and J. Yang, “A low-complexity permutation alignment method for frequency-domain blind source separation,” Speech Communication, vol. 115, pp. 88–94, Dec. 2019.

[21] F. Yang and J. Yang, “Convergence analysis of deficient-length frequency-domain adaptive filters,” IEEE Trans. Circuits Syst. I, vol. 66, no. 11, pp. 4242–4255, Nov. 2019.

[20] F. Yang and J. Yang, “Mean-square performance of the modified frequency-domain block LMS algorithm,” Signal Process., vol. 163, pp 18–25, Oct. 2019.

[19] Y. Qi, F. Yang, M, Wu, and J. Yang, “A broadband Kalman filtering approach to blind multichannel identification,” IEICE Trans. Fundamentals, vol. E102-A, pp.788–795, June 2019.

[18] F. Yang, G. Enzner, and J. Yang, “A unified approach to the statistical convergence analysis of frequency-domain adaptive filters,” IEEE Trans. Signal Process., vol. 67, pp. 1785–1796, Apr. 2019.

[17] F. Yang, Y. Cao, M. Wu, F. Albu, and J. Yang, “Frequency-domain filtered-x LMS algorithms for active noise control: a review and new insights,” Applied Sciences, vol. 8, no. 11, 2018.

[16] F. Yang and J. Yang, “A comparative survey of fast affine projection algorithms,” Digital Signal Process., vol. 83, pp. 297–322, Dec. 2018.

[15] F. Yang and J. Yang, “Multiband-structured Kalman filter,” IET Signal Process., vol. 12, no. 6, pp. 722–728, Aug. 2018.

[14] F. Yang and J. Yang, “Optimal step-size control of the partitioned block frequency-domain adaptive filter,” IEEE Trans. Circuits Syst. II, vol. 65, no. 6, pp. 814–818, Jun. 2018.

[13] Q. Feng, F. Yang, and J. Yang, “Time-domain sound field reproduction using the group Lasso,” J. Acoust. Soc. Amer., vol. 143. No. 2. pp. EL55–EL60, Feb. 2018.

[12] Q. Feng, F. Yang, and J. Yang, “Interpolation of the early part of the acoustic transfer functions using block sparse models,” J. Acoust. Soc. Amer.,vol. 142, no. 6, pp. EL532–EL536, Dec. 2017.

[11] F. Yang, G. Enzner, and J. Yang, “Frequency-domain adaptive Kalman filter with fast recovery of abrupt echo-path changes,” IEEE Signal Process. Lett., vol. 24, no. 12, pp. 1778–1782, Dec. 2017.

[10] Z. Yan, F. Yang, and J. Yang, “Block sparse reweighted zero-attracting normalised least mean square algorithm for system identification,” Electronics Letters, vol. 53, pp. 899–900, July 2017.

[9] F. Yang, G. Enzner, and J. Yang, “Statistical convergence analysis for optimal control of DFT-domain adaptive echo canceler,” IEEE/ACM Trans. Audio, Speech, Lang. Process., vol. 25, no. 5, pp. 1095–1106, May 2017.

[8] R. Zhu, F. Yang, and J. Yang, “A gradient-adaptive lattice based complex adaptive notch filter,” EURASIP Journal on Advances in Signal Process., 2016.

[7] R. Zhu, F. Yang, and J. Yang, “An RLS-based Lattice-form complex adaptive notch filter,” IEEE Signal Process. Lett., vol. 23, no. 2, pp.217–221, Feb. 2016.

[6] F. Yang, M. Wu, P. Ji, and J. Yang, “Low-complexity implementation of the improved multiband-structured subband adaptive filter algorithm,” IEEE Trans. Signal Process., pp. 5133–5148, 2015.

[5] F. Yang, M. Wu, P. Ji, Z. Kuang, and J. Yang, “Transient and steady-state analyses of the improved multiband-structured subband adaptive filter algorithm,” IET Signal Process., pp. 596–604, 2015.

[4] F. Yang, M. Wu, J. Yang, and Z. Kuang, “A fast exact filtering approach to a family of affine projection-type algorithms,” Signal Process., vol. 101, pp. 1–10, Aug. 2014.

[3] F. Yang, M. Wu, and J. Yang, “A computationally efficient delayless frequency-domain adaptive filter algorithm,” IEEE Trans. Circuits Syst. II, vol. 60, no. 4, pp. 222–226, Apr. 2013.

[2] F. Yang, M. Wu, P. Ji, and J. Yang, “An improved multiband-structured subband adaptive filter algorithm,” IEEE Signal Process. Lett., vol. 19, no. 10, pp.647–650, Oct. 2012.

[1] F. Yang, M. Wu, and J. Yang, “Stereophonic acoustic echo suppression based on Wiener filter in the short-time Fourier transform domain,” IEEE Signal Process. Lett., pp. 227–230, Apr. 2012.

   

（ 1 ） 变步长和变正则化因子的子带自适应滤波算法研究, 负责人, 国家任务, 2016-01--2018-12
（ 2 ） 基于传声器阵列的室内拾音关键技术研究, 负责人, 研究所自主部署, 2018-06--2020-12
（ 3 ） 自适应滤波算法及其在系统辨识中的应用, 负责人, 国家任务, 2018-06--2019-12
（ 4 ） 基于嵌入式智能电视终端的海端音效处理技术, 参与, 中国科学院计划, 2013-01--2016-12
（ 5 ） 基于F0型DSP平台的音效增强技术, 负责人, 境内委托项目, 2014-01--2015-12
（ 6 ） 扩声系统环境噪声检测自动增益项目, 负责人, 境内委托项目, 2018-05--2019-12
（ 7 ） 快速仿射投影算法的性能比较和理论分析, 负责人, 研究所自主部署, 2014-01--2015-12
（ 8 ） 远场语音拾取关键技术研究, 负责人, 中国科学院计划, 2018-01--2021-12
（ 9 ） CPS融合的工控异常检测技术与系统, 参与, 中国科学院计划, 2019-05--2025-12
（ 10 ） 室内声场自动均衡, 负责人, 境内委托项目, 2020-10--2021-12
（ 11 ） DNN回声抵消, 负责人, 境内委托项目, 2021-01--2021-12
（ 12 ） 多通道语音信号盲源分离, 负责人, 国家任务, 2022-01--2025-12
（ 13 ） 语音信号盲源分离, 负责人, 研究所自主部署, 2021-09--2024-09
（ 14 ） 多源分离, 负责人, 境内委托项目, 2021-10--2022-12
（ 15 ） 室内实时扩声系统, 负责人, 境内委托项目, 2022-10--2023-10
（ 16 ） 分布式声传感器网络, 负责人, 境内委托项目, 2022-02--2023-02
（ 17 ） 远场多麦免提通话关键技术探索, 负责人, 境内委托项目, 2023-06--2024-06
（ 18 ） 骨导语音信号盲恢复, 负责人, 地方任务, 2024-01--2026-12