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020 _a9783030934057
024 7 _a10.1007/978-3-030-93405-7
_2doi
040 _aTR-AnTOB
_beng
_cTR-AnTOB
_erda
041 _aeng
050 4 _aTK7882.S65
072 7 _aTJF
_2bicssc
072 7 _aUYS
_2bicssc
072 7 _aTEC008000
_2bisacsh
072 7 _aTJF
_2thema
072 7 _aUYS
_2thema
090 _aTK7882.S65EBK
100 1 _aMourad, Talbi.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 4 _aThe Stationary Bionic Wavelet Transform and its Applications for ECG and Speech Processing
_h[electronic resource] /
_cby Talbi Mourad.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSignals and Communication Technology,
_x1860-4870
505 0 _a1. Speech enhancement based on stationary bionic wavelet transform and maximum a posterior estimator of magnitude-squared spectrum -- 2. ECG denoising based on 1-D double-density complex DWT and SBWT -- 3. Speech Enhancement based on SBWT and MMSE Estimate of Spectral Amplitude -- 4. Arabic Speech Recognition by Stationary Bionic Wavelet Transform and MFCC using a Multi-Layer Perceptron for Voice Control.
520 _aThis book first details a proposed Stationary Bionic Wavelet Transform (SBWT) for use in speech processing. The author then details the proposed techniques based on SBWT. These techniques are relevant to speech enhancement, speech recognition, and ECG de-noising. The techniques are then evaluated by comparing them to a number of methods existing in literature. For evaluating the proposed techniques, results are applied to different speech and ECG signals and their performances are justified from the results obtained from using objective criterion such as SNR, SSNR, PSNR, PESQ , MAE, MSE and more. Describes and applies a proposed Stationary Bionic Wavelet Transform (SBWT) Discusses how speech enhancement, speech recognition, and ECG de-noising are aided by SBWTs Relevant to researchers, professionals, students, and academics in speech and ECG processing.
650 0 _aSignal processing.
650 0 _aComputational intelligence.
650 0 _aComputer vision.
650 1 4 _aSignal, Speech and Image Processing .
650 2 4 _aComputational Intelligence.
650 2 4 _aComputer Vision.
653 0 _aSpeech processing systems -- Mathematics
653 0 _aSignal processing -- Mathematics
653 0 _aWavelets (Mathematics)
710 2 _aSpringerLink (Online service)
830 0 _aSignals and Communication Technology,
_x1860-4870
856 4 0 _uhttps://doi.org/10.1007/978-3-030-93405-7
_3Springer eBooks
_zOnline access link to the resource
942 _2lcc
_cEBK