This work was supported by the Fundamental Research Funds for the Central Universities(D5000210974).
Research on speech enhancement algorithms in the airborne environment is of great significance to the security of airborne systems.Recently,the research focus of speech enhancement has turned from conventional unsuper...
supported by the National Natural Science Foundation of China(No.61703360,No.61005021,No.61201457);the Natural Science Foundation of Shandong Province(No.ZR2017MF008,No.ZR2017MF019)
The estimation of noise Power spectral density(PSD) is a very crucial issue for speech enhancement as a result of its significant effect on the quality and intelligibility of the enhanced speech. Most of the existing ...
supported by the National Natural Science Foundation of China(No.61703360,No.61005021,No.61201457);Shandong Province Higher Educational Science and Technology Program(No.J12LN27);the Natural Science Foundation of Shandong Province(No.ZR2017MF008,No.ZR2014FQ016)
One of the key issues of noisy speech enhancement technique is to achieve appropriate statistical distributions to model the clean speech and noise signals accurately. Most of the existing algorithms try to employ a s...
supported by the National Natural Science Foundation of China(No.11161140319,No.91120001,No.61271426);the Strategic Priority Research Program of the Chinese Academy of Sciences(No.XDA06030100,No.XDA06030500);the National High Technology Research and Development Program of China(863 Program)(No.2012AA012503);the Chinese Academy of Sciences Priority Deployment Project(No.KGZD-EW-103-2)
In this paper, a multi-channel post-filtering approach in reverberant environment based on detection and estimation scheme is presented. A modified Signal presence probability(SPP), which is in consideration of reverb...
In this paper, we propose a speech en- hancement algorithm which has the feature of interaction between adaptive beamforming and multl-channel post- filtering. A novel subband feedback controller based on speech prese...
This paper applies the sparse and redundant representation techniques to the problem of speech enhancement. More specifically, the K-SVD algorithm was used to train a data-driven overcomplete dictionary that describes...
This work is supported in part by the National Natural Science Foundation of China (No.90920002, No.60772165, No.90820303 and No.90820011), Natural Science Foundation of Guangdong Province, China (No.10478922035-X004936) and the National Grand Fundamental Research 973 Program of China (No.2004CB318105).
This paper presents a novel method to design the microphone array post-filter. The key issue of post-filter is to accurately estimate the noise power spectrum, thus a subspace based noise estimation method is proposed...
This work is partially supported by the National High Technology Research and Development Program of China (863 Program), (No.2006AA010102, No.2006AA01Z195), MOST (973 Program), (No.2004CB318106), National Natural Science Foundation of China (No.10574140, No.60535030).
In this paper, a novel two-element- microphone-array-based speech enhancement algorithm is proposed. This algorithm is designed to achieve better overall performance with relatively small array size. A frequency domai...
A new model-based speech enhancement algorithm by variational Bayesian learning was proposed in this paper. Autoregressive process was used to model speech signal and its order was determined automatically. Clean spee...
In this paper, a Kalman filter-based speech enhancement algorithm with some improvements of previous work is presented. A new technique based on spectral subtraction is used for separation speech and noise characteris...