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Kalman tracking of linear predictor and harmonic noise models for noisy speech enhancement.

, , , , , , and . Comput. Speech Lang., 22 (1): 69-83 (2008)

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Physiological and GPS data fusion., , , , , and . IWCIM, page 1-4. IEEE, (2015)Interpolation of lost speech segments using LP-HNM model with codebook-mapping post-processing., and . ASRU, page 14-18. IEEE, (2007)Temporal Modelling and Kalman Filtering of DFT Trajectories for Enhancement of Noisy Speech., , and . ICASSP (1), page 481-484. IEEE, (2006)Evaluation of methods for parameteric formant transformation in voice conversion., , , and . ICASSP (1), page 724-727. IEEE, (2003)Interpolation of Lost Speech Segments Using LP-HNM Model With Codebook Post-Processing., and . IEEE Trans. Multim., 10 (3): 493-502 (2008)An analysis of cepstral-time matrices for noise and channel robust speech recognition., and . EUROSPEECH, page 519-522. ISCA, (1995)On increasing structural complexity of finite state speech models., and . ICASSP, page 537-540. IEEE Computer Society, (1992)Full covariance modelling and adaptation in sub-bands., , and . ICASSP, page 969-972. IEEE, (2000)Multi-resolution phonetic/segmental features and models for HMM-based speech recognition., , and . ICASSP, page 1263-1266. IEEE Computer Society, (1997)Noisy speech recognition based on HMMs, Wiener filters and re-evaluation of most likely candidates., and . ICASSP (2), page 103-106. IEEE Computer Society, (1993)