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Lidar Signal Processing for Under-Water Object Detection.

, , and . ISNN (2), volume 3497 of Lecture Notes in Computer Science, page 556-561. Springer, (2005)

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Detecting Emotion Primitives from Speech and Their Use in Discerning Categorical Emotions., , , , , , , and . ICASSP, page 7164-7168. IEEE, (2020)Leveraging Deep Neural Network Activation Entropy to cope with Unseen Data in Speech Recognition., and . CoRR, (2017)Tackling unseen acoustic conditions in query-by-example search using time and frequency convolution for multilingual deep bottleneck features., , , , and . ASRU, page 48-54. IEEE, (2017)Time-frequency convolutional networks for robust speech recognition., and . ASRU, page 317-323. IEEE, (2015)Robust speech recognition using articulatory gestures in a Dynamic Bayesian Network framework., , and . ASRU, page 131-136. IEEE, (2011)Deep convolutional nets and robust features for reverberation-robust speech recognition., , and . SLT, page 548-553. IEEE, (2014)Investigating salient representations and label Variance in Dimensional Speech Emotion Analysis., , and . CoRR, (2023)From acoustics to Vocal Tract time functions., , , , and . ICASSP, page 4497-4500. IEEE, (2009)Multi-microphone speech recognition integrating beamforming, robust feature extraction, and advanced DNN/RNN backend., , , , , , and . Comput. Speech Lang., (2017)The MERL/SRI system for the 3RD CHiME challenge using beamforming, robust feature extraction, and advanced speech recognition., , , , , , and . ASRU, page 475-481. IEEE, (2015)