Sparse Representations for Single Channel Speech Enhancement Based on Voiced/Unvoiced Classification
Sign Up to like & getrecommendations! Published in 2017 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-016-0384-6
Abstract: The approach presented here in relies on a new voicing decision algorithm based on the multi-scale product (MP) characteristics. The MP is based on the multiplication of Wavelet Transform Coefficients at some scales. According to… read more here.
Keywords: representations single; enhancement based; channel speech; sparse representations ... See more keywords
An efficient wavelet-based adaptive filtering algorithm for automatic blind speech enhancement
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Speech Technology"
DOI: 10.1007/s10772-018-9514-9
Abstract: In this paper, we address the problem of speech enhancement by adaptive filtering algorithms. A particular attention has been paid to the backward blind source separation (BBSS) algorithm and its use in crosstalk resistant speech… read more here.
Keywords: algorithm; speech; adaptive filtering; speech enhancement ... See more keywords
Minimum mean square error estimator for speech enhancement in additive noise assuming Weibull speech priors and speech presence uncertainty
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Speech Technology"
DOI: 10.1007/s10772-020-09767-y
Abstract: A novel single-channel technique was proposed based on a minimum mean square error (MMSE) estimator to enhance short-time spectral amplitude (STSA) in the Discrete Fourier Transform (DFT) domain. In the present contribution, a Weibull distribution… read more here.
Keywords: presence; speech; speech enhancement; mean square ... See more keywords
Single-channel speech enhancement method using reconstructive NMF with spectrotemporal speech presence probabilities
Sign Up to like & getrecommendations! Published in 2017 at "Applied Acoustics"
DOI: 10.1016/j.apacoust.2016.04.024
Abstract: Abstract In this paper, a novel single microphone channel-based speech enhancement technique is presented. While most of the conventional nonnegative matrix factorization-based approaches focus on generating a basis matrix of speech and noise for enhancement,… read more here.
Keywords: spectrotemporal speech; speech; speech enhancement; channel ... See more keywords
Robustness and sensitivity metrics-based tuning of the augmented Kalman filter for single-channel speech enhancement
Sign Up to like & getrecommendations! Published in 2022 at "Applied Acoustics"
DOI: 10.1016/j.apacoust.2021.108355
Abstract: Abstract The inaccurate estimates of the speech and noise linear prediction coefficients (LPCs) introduce bias in augmented Kalman filter (AKF) gain, which impacts the quality and intelligibility of enhanced speech. Although current tuning methods offset… read more here.
Keywords: speech; speech enhancement; akf gain; augmented kalman ... See more keywords
An iterative posterior NMF method for speech enhancement in the presence of additive Gaussian noise
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.12.012
Abstract: In this paper, a speech enhancement method based on regularized non-negative matrix factorization (NMF) for non-stationary Gaussian noise is proposed. An iterative posterior NMF-based model of the magnitudes of the spectral components of speech and… read more here.
Keywords: posterior nmf; speech; speech enhancement; gaussian noise ... See more keywords
Effective Kalman filtering algorithm for distributed multichannel speech enhancement
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DOI: 10.1016/j.neucom.2017.05.048
Abstract: Abstract Kalman filtering is known as an effective speech enhancement technique. Many Kalman filtering algorithms for single channel speech enhancement were developed in past decades. However, the Kalman filtering algorithm for multichannel speech enhancement is… read more here.
Keywords: distributed multichannel; multichannel speech; speech enhancement; kalman filtering ... See more keywords
Training and compensation of class-conditioned NMF bases for speech enhancement
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.01.013
Abstract: Abstract In this paper, we introduce a training and compensation algorithm of the class-conditioned basis vectors in the non-negative matrix factorization (NMF) model for single-channel speech enhancement. The main goal is to estimate the basis… read more here.
Keywords: class conditioned; basis; speech enhancement; training compensation ... See more keywords
Hearing Aid Speech Enhancement Using Phase Difference-Controlled Dual-Microphone Generalized Sidelobe Canceller
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DOI: 10.1109/access.2019.2940047
Abstract: This paper proposes a new technique for improving a generalized sidelobe canceller (GSC) for dual-microphone speech enhancement to be applied in an auditory device such as a hearing aid. Here, the GSC is implemented on… read more here.
Keywords: gsc; phase; speech enhancement; dual microphone ... See more keywords
Meta-SE: A Meta-Learning Framework for Few-Shot Speech Enhancement
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DOI: 10.1109/access.2021.3066609
Abstract: Separating target speech from noisy signal is important for many realistic applications. Recently, deep neural network (DNN) has been widely used in speech enhancement (SE) and obtained prominent performance improvements. However, the current deep models… read more here.
Keywords: meta learning; speech enhancement; speech; meta ... See more keywords
A Two-Stage Deep Neuroevolutionary Technique for Self-Adaptive Speech Enhancement
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DOI: 10.1109/access.2022.3140901
Abstract: This paper presents a novel self-adaptive approach for speech enhancement in the context of highly nonstationary noise. A two-stage deep neuroevolutionary technique for speech enhancement is proposed. The first stage is composed of a deep… read more here.
Keywords: two stage; speech enhancement; stage; technique ... See more keywords