In this paper, we present a sentence simplification method and demonstrate its use to improve intent determination and slot filling tasks in spoken language understanding (SLU) ...
In this paper, we extend our previous study on discriminative training using non-uniform criteria for speech recognition. The work will put emphasis on how the acoustic modeling i...
Recent works in modified compressed sensing (CS) show that reconstruction of sparse or compressible signals with partially known support yields better results than traditional CS...
Rafael E. Carrillo, Luisa F. Polania, Kenneth E. B...
In this paper we present a novel approach to acoustic model training for non-audible murmur (NAM) recognition using normal speech data transformed into NAM data. NAM is extremely ...
This paper considers weighted sum rate maximization of multiuser multiple-input single-output interference channel (MISO-IFC) under outage constraints. The outage-constrained weig...
Wei-Chiang Li, Tsung-Hui Chang, Che Lin, Chong-Yun...
In this paper, a new adaptive beamforming algorithm with joint robustness against covariance matrix uncertainty as well as steering vector mismatch is proposed. First, the theoret...
This paper presents a novel method for inferring the odor based on neural activities observed from rats’ main olfactory bulbs. Multi-channel extra-cellular single unit recording...
Lip tracking is crucial to the success of a lipreading recognition system. This paper presents a robust lip tracking algorithm using localized color active contours and deformable...
We configure the multiple node interference (MNI) on OFDMA mesh networks and analyze the feature of this MNI as a closed form in terms of timing misalignment between multiple nod...
We propose an environment population projection (EPP) approach for rapid acoustic model adaptation to reduce environment mismatches with limited amounts of adaptation data. This a...