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General algorithms for estimating spectrogram and transfer functions of target signal for blind suppression of diffuse noise

Nobutaka Ito, Emmanuel Vincent, Nobutaka Ono, Shigeki Sagayama
2013 2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)  
We propose two algorithms for jointly estimating the power spectrogram and the room transfer functions of a target signal in diffuse noise.  ...  These estimates can be used to design a multichannel Wiener filter, and thereby separate a target signal from an unknown direction from diffuse noise.  ...  Experimental results CONCLUSION We proposed two algorithms for joint estimation of the power spectrogram and the room transfer functions of the target signal for blind suppression of diffuse noise.  ... 
doi:10.1109/mlsp.2013.6661984 dblp:conf/mlsp/ItoVOS13 fatcat:tfu7doejoreohbq2itfk7tzq5u

Blind speech extraction for Non-Audible Murmur speech with speaker's movement noise

Miyuki Itoi, Ryoichi Miyazaki, Tomoki Toda, Hiroshi Saruwatari, Kiyohiro Shikano
2012 2012 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)  
In this paper, we aim to achieve further improvement in the noise reduction ability by changing the noise estimation and postprocessing algorithms to enhance the target NAM signal.  ...  In order to reduce the noise signal, blind noise reduction using stereo NAM signals detected with two NAM microphones has been proposed by some of the authors.  ...  ACKNOWLEDGMENT This work was supported by the MIC SCOPE, and JST Core Research of Evolution Science and Technology (CREST), Japan.  ... 
doi:10.1109/isspit.2012.6621308 dblp:conf/isspit/ItoiMTSS12 fatcat:7pkkm6vax5cgtpw3hcvpw4uggm

A blind source separation framework for ego-noise reduction on multi-rotor drones

Lin Wang, Andrea Cavallaro
2020 IEEE/ACM Transactions on Audio Speech and Language Processing  
The pre-alignment not only improves the performance of clustering and permutation alignment, but also solves the target-channel selection problem for BSS.  ...  To address this problem, we propose a blind source separation (BSS) framework that extracts a target sound from noisy multi-channel signals captured by a microphone array mounted on a drone.  ...  Blind source separation (BSS) performs sound enhancement by treating the target and noise signals equally and by separating the sources from the mixed signals captured by the array of microphones [18]  ... 
doi:10.1109/taslp.2020.3015027 fatcat:hdg3gj3zwfdidkhyk4ow4sv4qm

A Neural Beamspace-Domain Filter for Real-Time Multi-Channel Speech Enhancement

Wenzhe Liu, Andong Li, Xiao Wang, Minmin Yuan, Yi Chen, Chengshi Zheng, Xiaodong Li
2022 Symmetry  
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY  ...  function between the sound source and microphones of the array, to generate multi-channel pairs for experiments.  ...  the noise component of each pre-generated beam and fuse them.  ... 
doi:10.3390/sym14061081 dblp:journals/symmetry/LiuLWYCZL22 fatcat:4kxd4job5ndwrplygqvw7f3ii4

Multi-talker speech recognition under ego-motion noise using Missing Feature Theory

G Ince, K Nakadai, T Rodemann, H Tsujino, J Imura
2010 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems  
Since typical solutions to (1) and (2), motor noise suppression and sound source separation, both introduce distortion to the processed signals, the performance of automatic speech recognition (ASR) deteriorates  ...  For this purpose, we model masks that filter unreliable speech features based on the ratio of speech and motor noise energies.  ...  It is based on a hybrid algorithm that exerts Blind Source Separation (BSS) [14] and beamforming.  ... 
doi:10.1109/iros.2010.5650112 dblp:conf/iros/InceNRTI10 fatcat:v334qyuxojakfnlwm47rmtxf7e

Acoustic Self-Awareness of Autonomous Systems in a World of Sounds

Alexander Schmidt, Heinrich W. Lollmann, Walter Kellermann
2020 Proceedings of the IEEE  
Not only generic methods for robust source localization and signal extraction but also specific models and estimation methods for ego-noise based on various learning techniques are discussed.  ...  As a first step, the state of the art of relevant generic techniques for acoustic scene analysis (ASA) is reviewed, i.e., source localization and the various facets of signal enhancement, including spatial  ...  The authors propose a frequency-domain semi-blind source separation algorithm to estimate the noise signals and obtain an enhanced desired signal by applying an MWF.  ... 
doi:10.1109/jproc.2020.2977372 fatcat:immaqhfnkna6xdwj3dqlh7qewi

2020 Index IEEE Signal Processing Letters Vol. 27

2020 IEEE Signal Processing Letters  
., +, LSP 2020 885-889 E Echo suppression A Robust Affine Projection Algorithm Against Impulsive Noise.  ...  , W., A Tunable Detector for Distributed Target Detection in the Situation of Signal Mismatch; LSP 2020 151-155 Tang, W., Jiang, H., and Zhang, Q., Range-Angle Decoupling and Estimation for FDA-MIMO Radar  ... 
doi:10.1109/lsp.2021.3055468 fatcat:wfdtkv6fmngihjdqultujzv4by

2020 Index IEEE/ACM Transactions on Audio, Speech, and Language Processing Vol. 28

2020 IEEE/ACM Transactions on Audio Speech and Language Processing  
., +, TASLP 2020 77-91 Perceptually-Transparent Online Estimation of Two-Channel Room Transfer Function for Sound Calibration.  ...  ., +, TASLP 2020 92-104 Perceptually-Transparent Online Estimation of Two-Channel Room Transfer Function for Sound Calibration.  ...  T Target tracking Multi-Hypothesis Square-Root Cubature Kalman Particle Filter for Speaker Tracking in Noisy and Reverberant Environments. Zhang, Q., +, TASLP 2020 1183 -1197  ... 
doi:10.1109/taslp.2021.3055391 fatcat:7vmstynfqvaprgz6qy3ekinkt4

Multichannel Identification and Nonnegative Equalization for Dereverberation and Noise Reduction Based on Convolutive Transfer Function

Xiaofei Li, Sharon Gannot, Laurent Girin, Radu Horaud
2018 IEEE/ACM Transactions on Audio Speech and Language Processing  
Fig. 3 depicts the spectrogram examples of the proposed method for both noise-free and noisy signal.  ...  Probabilistic techniques use expectationmaximization (EM) algorithm to maximize the likelihood of a generative model of the noisy microphone signals, such as [12] , [13] using relative early transfer  ... 
doi:10.1109/taslp.2018.2839362 fatcat:afl2zvzgtzddpnvxspioj2wsnu

A non-intrusive method for estimating binaural speech intelligibility from noise-corrupted signals captured by a pair of microphones

Yan Tang, Qingju Liu, Wenwu Wang, Trevor J. Cox
2018 Speech Communication  
The proposed approach is able to estimate intelligibility in stationary and fluctuating noises, when the noise masker is presented as a point or diffused source, and is spatially separated from the target  ...  The approach combines signal processing techniques in blind source separation and localisation, with an intrusive objective intelligibility measure (OIM).  ...  Acknowledgments This work was supported by the EPSRC Programme Grant S3A: Future Spatial Audio for an Immersive Listener Experience at Home (EP/L000539/1) and the BBC as part of the BBC Audio Research  ... 
doi:10.1016/j.specom.2017.12.005 fatcat:s6hdi45m6ba2hjilpjlsetk5eu

Table of Contents

2020 IEEE Signal Processing Letters  
Jia, and X. Fan 1220 Estimating the Number of Sinusoids in Additive Sub-Gaussian Noise With Finite Measurements . . . . . . . . . . . . . . H.  ...  M. de Faria 965 Global Optimization for Recovery of Clipped Signals Corrupted With Poisson-Gaussian Noise . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Jeong 1530 Nyström Kernel Algorithm Under Generalized Maximum Correntropy Criterion . . . . . . . . . . . . . . . . T. Zhang and S.  ... 
doi:10.1109/lsp.2020.3040840 fatcat:ezrfzwo6tjbkfhohq2tgec4m6y

Evaluating Source Separation Algorithms With Reverberant Speech

Michael I Mandel, Scott Bressler, Barbara Shinn-Cunningham, Daniel P W Ellis
2010 IEEE Transactions on Audio, Speech, and Language Processing  
echo, and Reverberation, of the Target and Masker (DERTM), which is closely related to the ASR results.  ...  In reverberation, however, while signal separation has some benefit for ASR, the results are still far below those of human listeners facing the same task.  ...  The three signals of interest are then defined as Fig. 6 . 6 BSS_EVAL evaluation of ground truth and algorithmic masking systems as a function of target-to-masker ratio.  ... 
doi:10.1109/tasl.2010.2052252 fatcat:4sydiw3d2vbf3hj4jjrxcnfaoq

Techniques to Obtain Good Resolution and Concentrated Time-Frequency Distributions: A Review

Imran Shafi, Jamil Ahmad, Syed Ismail Shah, F. M. Kashif
2009 EURASIP Journal on Advances in Signal Processing  
We present a review of the diversity of concepts and motivations for improving the concentration and resolution of timefrequency distributions (TFDs) along the individual components of the multi-component  ...  The objective is the precise description of spectral content of a signal with respect to time, so that first, necessary mathematical and physical principles may be developed, and second, accurate understanding  ...  It is driven by zero-mean stationary white noise e[n] so that x[n] = n m=−∞ h[n, m]e[m], H(n, ω) = n m=−∞ h[n, m]e −iω(n−m) (3) is the Zadeh's generalized transfer function (GTF) of the system evaluated  ... 
doi:10.1155/2009/673539 fatcat:zlbsdxxxm5hp5cnwbx3yl73fvi

Visual Acoustic Matching [article]

Changan Chen, Ruohan Gao, Paul Calamia, Kristen Grauman
2022 arXiv   pre-print
Given an image of the target environment and a waveform for the source audio, the goal is to re-synthesize the audio to match the target room acoustics as suggested by its visible geometry and materials  ...  To address this novel task, we propose a cross-modal transformer model that uses audio-visual attention to inject visual properties into the audio and generate realistic audio output.  ...  Acknowledgements UT Austin is supported in part by a gift from Google and the IFML NSF AI Institute.  ... 
arXiv:2202.06875v2 fatcat:qt6he2ckazgaxp6chln2m73kwa

Deep Ad-hoc Beamforming [article]

Xiao-Lei Zhang
2021 arXiv   pre-print
We have developed many implementations of the proposed framework and conducted an extensive experiment in scenarios where the locations of the speech sources are far-field, random, and blind to the microphones  ...  Results on speech enhancement tasks show that our method outperforms its counterpart that works with linear microphone arrays by a considerable margin in both diffuse noise reverberant environments and  ...  DeLiang Wang for helpful discussions.  ... 
arXiv:1811.01233v7 fatcat:rajjon4hgvbwvn5fetdnixd22e
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