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Speech selection and environmental adaptation for asynchronous speech recognition.

, , , and . APSIPA, page 119-124. IEEE, (2015)

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Relative phase information for detecting human speech and spoofed speech., , , and . INTERSPEECH, page 2092-2096. ISCA, (2015)Speaker identification by combining MFCC and phase information in noisy environments., , , and . ICASSP, page 4502-4505. IEEE, (2010)Combination of bottleneck feature extraction and dereverberation for distant-talking speech recognition., , , , and . Multimedia Tools Appl., 75 (9): 5093-5108 (2016)Speaker Identification and Verification by Combining MFCC and Phase Information., , and . IEEE Trans. Audio, Speech & Language Processing, 20 (4): 1085-1095 (2012)Phase and reverberation aware DNN for distant-talking speech enhancement., , , , , and . Multimedia Tools Appl., 77 (14): 18865-18880 (2018)Exploration of Complementary Features for Speech Emotion Recognition Based on Kernel Extreme Learning Machine., , , , and . IEEE Access, (2019)PLDA in the I-Supervector Space for Text-Independent Speaker Verification., , and . EURASIP J. Audio, Speech and Music Processing, (2014)Noise robust voice activity detection using joint phase and magnitude based feature enhancement., , , , , and . J. Ambient Intelligence and Humanized Computing, 8 (6): 845-859 (2017)Single-channel Dereverberation for Distant-Talking Speech Recognition by Combining Denoising Autoencoder and Temporal Structure Normalization., , , , , and . Signal Processing Systems, 82 (2): 151-161 (2016)Joint sparse representation based cepstral-domain dereverberation for distant-talking speech recognition., , , and . ICASSP, page 7117-7120. IEEE, (2013)