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This study presents a speech enhancement technique to improve noise corrupted speech via deep neural network (DNN)-based linear predictive (LP) parameter estimations of speech and noise. With regard to the LP coefficient estimation, an enhanced estimation method using a DNN with multiple layers was proposed. Excitation variances were then estimated via a maximum-likelihood scheme using observed noisy...
The authors propose a robust artificial bandwidth extension (ABE) technique to improve narrowband (NB) speech signal quality using an enhanced spectrum envelope and excitation estimation. For envelope estimation, they propose an enhanced envelope estimation method using a deep neural network with multiple layers. For excitation estimation, they use a whitened NB excitation signal that is generated...
This paper proposes a flexible encoding technique based on multi-stage multiple scale lattice vector quantization and block-constrained trellis coded vector quantization. It is used for the spectrum encoding, more precisely encoding of the LSF parameters, and incorporated in the recently standardized 3GPP EVS codec. The proposed method can handle multiple bit allocations and signal types with low...
In recent years, the amount of data produced by mobile devices and the Internet has increased rapidly. To facilitate the storage of such a large amount of data, open-source-based cloud storage services have also increased. However, most of administration tools which are specialized in managing open-source-based storage services have shortcomings such as lack of sufficient features and difficulty in...
This paper proposes a blind bandwidth extension (BBE) technique that improves the quality of narrowband (NB) speech signal enhanced by the codebook-based Bayesian speech enhancement method with minimum mean square error (MMSE) estimate. The MMSE weight vector of the NB speech envelope codebook is used to estimate the wideband (WB) speech envelope. An adaptive double shifting method is introduced in...
A search-free codebook mapping algorithm for bandwidth extension in G.729 compressed domain is introduced in this paper. We design a wideband line spectrum pair (LSP) codebook which is coupled with the same index as the LSP codebook of the G.729 speech codec. The received narrowband LSP codebook indices are used to directly induce wideband LSP codewords. Thus, the proposed scheme eliminates codebook...
In this paper, a block-constrained trellis coded vector quantization (BC-TCVQ) algorithm is combined with an algebraic codebook to produce an algebraic trellis vector code (ATVC) to be used in ACELP coding. In ATVC, the set of allowed algebraic codebook pulse position is expanded, and the trellis branches are labeled with these subsets. Viterbi algorithm is used to select the excitation codevector...
Algebraic Code-Excited Linear Prediction (ACELP) is a popular linear prediction speech coding algorithm that provides good performance with reasonable implementation complexity, and requires low transmission bit rate. The excitation sequence is formed as the sum of two quantized excitations: an adaptive (pitch) codebook excitation and an algebraic (fixed) codebook excitation. Algebraic codevectors...
In this paper, a vector quantization-block constrained trellis coded quantization (VQ-BCTCQ) is presented to quantize line spectrum frequency (LSF) parameters of the wideband speech codec. Both the predictive structure and safety-net concept are combined into VQ-BCTCQ to develop the predictive VQ-BCTCQ. The performance of this quantization is compared with that of the linear predictive coding (LPC)...
Chemical vapor deposition of copper using iodine as catalytic surfactant fills sub-micron holes and trenches in bottom-up fashion and results in a leveled film surface. Accelerated film growth in holes and trenches seems due to the accumulation of the catalytic surfactant at the bottom of the holes and trenches caused by the reduction of surface area during the film growth. High growth rate and good...
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