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A transfer learning and progressive stacking approach to reducing deep model sizes with an application to speech enhancement.

, , , , and . ICASSP, page 5575-5579. IEEE, (2017)

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A Reverberation-Time-Aware Approach to Speech Dereverberation Based on Deep Neural Networks., , , and . IEEE ACM Trans. Audio Speech Lang. Process., 25 (1): 98-107 (2017)Sign Transition Modeling and a Scalable Solution to Continuous Sign Language Recognition for Real-World Applications., , and . TACCESS, 8 (2): 7:1-7:23 (2016)A unified deep modeling approach to simultaneous speech dereverberation and recognition for the reverb challenge., , , , , and . HSCMA, page 36-40. IEEE, (2017)A deep neural network approach to speech bandwidth expansion., and . ICASSP, page 4395-4399. IEEE, (2015)An Iterative Phase Recovery Framework with Phase Mask for Spectral Mapping with an Application to Speech Enhancement., , and . INTERSPEECH, page 3773-3777. ISCA, (2016)Deep neural network based voice conversion with a large synthesized parallel corpus., , , and . APSIPA, page 1-5. IEEE, (2016)Deep learning with maximal figure-of-merit cost to advance multi-label speech attribute detection., , , and . SLT, page 489-495. IEEE, (2016)A transfer learning and progressive stacking approach to reducing deep model sizes with an application to speech enhancement., , , , and . ICASSP, page 5575-5579. IEEE, (2017)Detecting Mispronunciations of L2 Learners and Providing Corrective Feedback Using Knowledge-Guided and Data-Driven Decision Trees., , , , and . INTERSPEECH, page 3127-3131. ISCA, (2016)Joint Training of Multi-Channel-Condition Dereverberation and Acoustic Modeling of Microphone Array Speech for Robust Distant Speech Recognition., , , , , and . INTERSPEECH, page 3847-3851. ISCA, (2017)