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DEEP MIXTURE DENSITY NETWORK FOR STATISTICAL MODEL-BASED FEATURE ENHANCEMEN, , , , and . (2017)Integrating end-to-end neural and clustering-based diarization: Getting the best of both worlds., , and . CoRR, (2020)Predicting Speech Intelligibility Using a Gammachirp Envelope Distortion Index Based on the Signal-to-Distortion Ratio., , , , , and . INTERSPEECH, page 2949-2953. ISCA, (2017)Improved Example-Based Speech Enhancement by Using Deep Neural Network Acoustic Model for Noise Robust Example Search., , , and . INTERSPEECH, page 1963-1967. ISCA, (2017)Neural Network-Based Spectrum Estimation for Online WPE Dereverberation., , , , and . INTERSPEECH, page 384-388. ISCA, (2017)Graph-PIT: Generalized Permutation Invariant Training for Continuous Separation of Arbitrary Numbers of Speakers., , , , and . Interspeech, page 3490-3494. ISCA, (2021)Few-Shot Learning of New Sound Classes for Target Sound Extraction., , , , and . Interspeech, page 3500-3504. ISCA, (2021)Duration and F0 as perceptual cues to Japanese vowel quantity., , and . INTERSPEECH, page 757-760. ISCA, (2002)Blind dereverberation of monaural speech signals based on harmonic structure., , and . Syst. Comput. Jpn., 37 (6): 1-12 (2006)Speech Dereverberation Based on Maximum-Likelihood Estimation With Time-Varying Gaussian Source Model., , , , , and . IEEE Trans. Speech Audio Process., 16 (8): 1512-1527 (2008)