SPECTRAL SUBTRACTION METHOD OF SPEECH ENHANCEMENT USING ADAPTIVE ESTIMATION OF NOISE WITH PDE METHOD AS A PREPROCESSING TECHNIQUE [PDF]
ICTACT Journal on Communication Technology, 2010 Speech Enhancement can be used as a preprocessing technique in any of the speech communication systems. Speech communication involves a speaker, listener and communication device.
D. Deepa, A. Shanmugam
doaj
Improved Wasserstein conditional generative adversarial network speech enhancement
EURASIP Journal on Wireless Communications and Networking, 2018 The speech enhancement based on the generative adversarial network has achieved excellent results with large quantities of data, but performance in the low-data regime and tasks like unseen data learning still lag behind.
Shan Qin, Ting Jiang
doaj +1 more source
Studies in Signal Processing Techniques for Speech Enhancement: A comparative study [PDF]
Speech enhancement is very essential to suppress the background noise and to increase speech intelligibility and reduce fatigue in hearing. There exist many simple speech enhancement algorithms like spectral subtraction to complex algorithms like ...
Narasimhan, SV, Shivamurti, M
core
Speech Enhancement Based on Dictionary Learning and Low-Rank Matrix Decomposition
IEEE Access, 2019 In this paper, a new speech enhancement method is proposed based on dictionary learning and low-rank matrix decomposition with the objective to improve speech quality and intelligibility.
Yunyun Ji +2 more
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On Single-Channel Speech Enhancement and On Non-Linear Modulation-Domain Kalman Filtering [PDF]
arXiv, 2018 This report focuses on algorithms that perform single-channel speech enhancement. The author of this report uses modulation-domain Kalman filtering algorithms for speech enhancement, i.e. noise suppression and dereverberation, in [1], [2], [3], [4] and [5].
arxiv
Frequency-domain distributed multichannel wiener filtering speech enhancement algorithm [PDF]
E3S Web of ConferencesA frequency-domain distributed microphone multi-channel Wiener filter speech enhancement algorithm is proposed in this paper. In this paper, the distributed microphone speech model is considered.
Tu Jingxian, Qin Guijiang, Lv Haifeng
doaj +1 more source
Distortionless Multi-Channel Target Speech Enhancement for Overlapped Speech Recognition [PDF]
arXiv, 2020 Speech enhancement techniques based on deep learning have brought significant improvement on speech quality and intelligibility. Nevertheless, a large gain in speech quality measured by objective metrics, such as perceptual evaluation of speech quality (PESQ), does not necessarily lead to improved speech recognition performance due to speech distortion
arxiv
Speech enhancement using a soft-decision maximum likelihood noise suppression filter [PDF]
, 1979 R. McAulay, Marilyn L. Malpass
openalex +1 more source
Plugin Speech Enhancement: A Universal Speech Enhancement Framework Inspired by Dynamic Neural Network [PDF]
arXivThe expectation to deploy a universal neural network for speech enhancement, with the aim of improving noise robustness across diverse speech processing tasks, faces challenges due to the existing lack of awareness within static speech enhancement frameworks regarding the expected speech in downstream modules. These limitations impede the effectiveness
arxiv
Parameters of spectral shape in speech intelligibility enhancement [PDF]
, 1980 J. R. Trinder +3 more
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