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Near and Far Field Speech-in-Noise Intelligibility Improvements Based on a Time-Frequency Energy Reallocation Approach.

, , , and . IEEE ACM Trans. Audio Speech Lang. Process., 24 (10): 1808-1818 (2016)

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Continuous F0 in the source-excitation generation for HMM-based TTS: Do we need voiced/unvoiced classification?, , , , , , and . ICASSP, page 4724-4727. IEEE, (2011)Near and Far Field Speech-in-Noise Intelligibility Improvements Based on a Time-Frequency Energy Reallocation Approach., , , and . IEEE ACM Trans. Audio Speech Lang. Process., 24 (10): 1808-1818 (2016)Training a supra-segmental parametric F0 model without interpolating F0., , , and . ICASSP, page 6880-6884. IEEE, (2013)Feature enhancement by speaker-normalized splice for robust speech recognition., , and . ICASSP, page 4881-4884. IEEE, (2008)Automatic generation of synthesis units by unit selection based on closed-loop training., and . Syst. Comput. Jpn., 30 (9): 1-7 (1999)HMM-based speech synthesis using sub-band basis spectrum model., , , , and . INTERSPEECH, page 1440-1443. ISCA, (2012)Analytic generation of synthesis units by closed loop training for totally speaker driven text to speech system (TOS drive TTS)., and . ICSLP, ISCA, (1998)Decision tree acoustic models for ASR., and . INTERSPEECH, page 1403-1406. ISCA, (2009)Speech recognition using soft decision trees., and . INTERSPEECH, page 940-943. ISCA, (2008)Multilevel parametric-base F0 model for speech synthesis., and . INTERSPEECH, page 2274-2277. ISCA, (2008)