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Technical Program

SP-L5: Robust Speech Recognition I

Session Type: Lecture

Time: Wednesday, March 17, 13:30 - 15:30

Location: Room B

Session Chair: Bastiaan Kleijn, KTH, Sweden

SP-L5.1: LEARNING BASED AUDITORY ENCODING FOR ROBUST SPEECH RECOGNITION

Yu-Hsiang Chiu; Carnegie Mellon University

Bhiksha Raj; Carnegie Mellon University

Richard Stern; Carnegie Mellon University

SP-L5.2: MAXIMUM-LIKELIHOOD-BASED CEPSTRAL INVERSE FILTERING FOR BLIND SPEECH DEREVERBERATION

Kshitiz Kumar; Carnegie Mellon University

Richard Stern; Carnegie Mellon University

SP-L5.3: ROBUST SPECTRO-TEMPORAL FEATURES BASED ON AUTOREGRESSIVE MODELS OF HILBERT ENVELOPES

Sriram Ganapathy; Johns Hopkins University

Samuel Thomas; Johns Hopkins University

Hynek Hermansky; Johns Hopkins University

SP-L5.4: ON NOISE ESTIMATION FOR ROBUST SPEECH RECOGNITION USING VECTOR TAYLOR SERIES

Yong Zhao; Georgia Institute of Technology

Biing-Hwang Juang; Georgia Institute of Technology

SP-L5.5: ON EXPECTATION MAXIMIZATION BASED CHANNEL AND NOISE ESTIMATION BEYOND THE VECTOR TAYLOR SERIES EXPANSION

Friedrich Faubel; Saarland University

John McDonough; Saarland University

Dietrich Klakow; Saarland University

SP-L5.6: MODEL-BASED DEREVERBERATION IN THE LOGMELSPEC DOMAIN FOR ROBUST DISTANT-TALKING SPEECH RECOGNITION

Armin Sehr; University of Erlangen-Nuremberg

Roland Maas; University of Erlangen-Nuremberg

Walter Kellermann; University of Erlangen-Nuremberg