Genetic Algorithm For Designing QMF Banks and Its Application In Speech Compression Using Wavelets

Aloui, Noureddine; Mohamed, Ben Nasr; Chérif, Adnane

doi:10.5815/ijigsp.2013.06.01

Cited by 6 publications

(4 citation statements)

References 22 publications

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“…In fact, it has improved the CR, PSNR, SNR parameters; while decreasing the NRMSE. Despite, the wavelet filter optimization used to improve the speech compression using DWT as given by [8], [21], [22] they cannot achieve the compression ratio obtained by the proposed algorithm.…”

Section: Test and Resultsmentioning

confidence: 99%

Adaptive Speech Compression Based on Discrete Wave Atoms Transform

Bousselmi

Nouredine²,

Chérif

2016

IJECE

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This paper proposes a new adaptive speech compression system based on discrete wave atoms transform. First, the signal is decomposed on wave atoms, then wave atom coefficients are truncated using a new adaptive thresholding which depends on the SNR estimation. The thresholded coefficients are quantized using Max Lloyd scalar quantizer. Besides, they are encoded using zero run length encoding followed by Huffman coding. Numerous simulations are performed to prove the robustness of our approach. The results of current work are compared with wavelet based compression by using objective criteria, namely CR, SNR, PSNR and NRMSE. This study shows that the wave atoms transform is more appropriate than wavelets transform since it offers a higher compression ratio and a better speech quality.

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Section: Test and Resultsmentioning

confidence: 99%

Adaptive Speech Compression Based on Discrete Wave Atoms Transform

Bousselmi

Nouredine²,

Chérif

2016

IJECE

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“…The classification of speech enhancement techniques is shown in Fig 2.1. The classification is mainly based on time domain [79], transform domain [80] [81] and statistical based approaches. It should certainly include the reinforcement of the signal fro m the corruption of co mpeting speech or even fro m degradation of filtered version of the same signal.…”

Section: Challenges and Opportunitiesmentioning

confidence: 99%

A Survey on Statistical Based Single Channel Speech Enhancement Techniques

Sunnydayal.¹,

Sivaprasad²,

Kumar³

2014

IJISA

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Speech enhancement is a long standing problem with various applications like hearing aids, automatic recognition and coding of speech signals. Single channel speech enhancement technique is used for enhancement of the speech degraded by additive background noises. The background noise can have an adverse impact on our ability to converse without hindrance or smoothly in very noisy environments, such as busy streets, in a car or cockpit of an airplane. Such type of noises can affect quality and intelligibility of speech. This is a survey paper and its object is to provide an overview of speech enhancement algorithms so that enhance the noisy speech signal which is corrupted by additive noise. The algorithms are mainly based on statistical based approaches. Different estimators are compared. Challenges and Opportunities of speech enhancement are also discussed. This paper helps in choosing the best statistical based technique for speech enhancement

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“…This is done by designing special purpose low-pass and highpass filters [1]. Two-channel QMF bank finds applications in various signal processing fields, such as multicarrier modulation systems [2], design of wavelet bases [3], image coding [4], digital trans-multiplexers [5], discrete multi-tone modulation systems [6], ECG signal compression [7], antenna systems [8], speech compression [9], biomedical signal processing [10] and acoustic echo-cancellation [11].…”

Section: Introductionmentioning

confidence: 99%

Polyphase Structure Based Eigen Design of Two-Channel Quadrature Mirror Filter Bank

Agrawal¹,

Sahu²

2014

IJIGSP

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This paper presents a method for the design of two-channel quadrature mirror filter (QMF) banks with linear phase in frequency domain. Low-pass prototype filter of the QMF bank is implemented using polyphase decomposition. Prototype filter coefficients are optimized to minimize an objective function using eigenvalueeigenvector approach without matrix inversion. The objective function is formulated as a weighted sum of four terms, pass-band error and stop-band residual energy of low-pass analysis filter, the square error of the overall transfer function at the quadrature frequency and amplitude distortion of the filter bank. The simulation results clearly show that the proposed method requires less computational efforts in comparison to the other state-of-art existing design methods.

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Genetic Algorithm For Designing QMF Banks and Its Application In Speech Compression Using Wavelets

Cited by 6 publications

References 22 publications

Adaptive Speech Compression Based on Discrete Wave Atoms Transform

Adaptive Speech Compression Based on Discrete Wave Atoms Transform

A Survey on Statistical Based Single Channel Speech Enhancement Techniques

Polyphase Structure Based Eigen Design of Two-Channel Quadrature Mirror Filter Bank

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