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A comparison of estimation methods in the discrete cosine transform modulation domain for speech enhancement.

, , , и . ICSPCS, стр. 1-5. IEEE, (2016)

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Multi-Frame GMM-Based Block Quantisation for Distributed Speech Recognition Under Noisy Conditions., и . ICASSP (1), стр. 189-192. IEEE, (2006)Low-complexity GMM-based block quantisation of images using the discrete cosine transform., и . Signal Process. Image Commun., 20 (5): 435-446 (2005)Using Dynamic Time Warping for Noise Robust ECG R-peak Detection., , , и . ICSPCS, стр. 1-7. IEEE, (2019)Scalable distributed speech recognition using Gaussian mixture model-based block quantisation., и . Speech Commun., 48 (6): 746-758 (2006)Perceptually motivated linear prediction cepstral features for network speech recognition., , и . ICSPCS, стр. 1-5. IEEE, (2016)Scalable distributed speech recognition using multi-frame GMM-based block quantization., и . INTERSPEECH, стр. 617-620. ISCA, (2004)Reconstruction of a Signal from the Real Part of Its Discrete Fourier Transform Tips & Tricks., и . IEEE Signal Process. Mag., 35 (2): 162-174 (2018)Multiple frame block quantisation of line spectral frequencies using Gaussian mixture models., и . ICASSP (1), стр. 149-152. IEEE, (2004)A comparison of estimation methods in the discrete cosine transform modulation domain for speech enhancement., , , и . ICSPCS, стр. 1-5. IEEE, (2016)Kalman Filter with Sensitivity Tuning for Improved Noise Reduction in Speech., , , и . CSSP, 36 (4): 1476-1492 (2017)