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Effectiveness of Text, Acoustic, and Lattice-Based Representations in Spoken Language Understanding Tasks., , , , , , , , and . ICASSP, page 1-5. IEEE, (2023)Expanded Lattice Embeddings for Spoken Document Retrieval on Informal Meetings., , , , and . SIGIR, page 2669-2674. ACM, (2022)Automatic turn segmentation in spoken conversations., and . INTERSPEECH, page 3130-3133. ISCA, (2010)First-order Markov property of the auditory spiking neuron model response., and . EUSIPCO, page 1-5. IEEE, (2006)A composite physiological model of the inner ear for audio coding, and . (2004)The exploration/exploitation trade-off in Reinforcement Learning for dialogue management., , , and . ASRU, page 479-484. IEEE, (2009)Noise and Metadata Sensitive Bottleneck Features for Improving Speaker Recognition with Non-Native Speech Input., , , , , and . INTERSPEECH, page 3648-3652. ISCA, (2016)Acoustic correlates of meaning structure in conversational speech., , , , and . INTERSPEECH, page 1129-1132. ISCA, (2010)Automated Speech Recognition Technology for Dialogue Interaction with Non-Native Interlocutors., , , , , and . SIGDIAL Conference, page 134-138. The Association for Computer Linguistics, (2015)LVCSR System on a Hybrid GPU-CPU Embedded Platform for Real-Time Dialog Applications., , and . SIGDIAL Conference, page 220-223. The Association for Computer Linguistics, (2016)