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Automated Speech Recognition Technology for Dialogue Interaction with Non-Native Interlocutors.

, , , , , and . SIGDIAL Conference, page 134-138. The Association for Computer Linguistics, (2015)

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The exploration/exploitation trade-off in Reinforcement Learning for dialogue management., , , and . ASRU, page 479-484. IEEE, (2009)A composite physiological model of the inner ear for audio coding, and . (2004)Acoustic correlates of meaning structure in conversational speech., , , , and . INTERSPEECH, page 1129-1132. ISCA, (2010)Noise and Metadata Sensitive Bottleneck Features for Improving Speaker Recognition with Non-Native Speech Input., , , , , and . INTERSPEECH, page 3648-3652. ISCA, (2016)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)First-order Markov property of the auditory spiking neuron model response., and . EUSIPCO, page 1-5. IEEE, (2006)Automatic turn segmentation in spoken conversations., and . INTERSPEECH, page 3130-3133. ISCA, (2010)Kolmogorov-Smirnov test for feature selection in emotion recognition from speech., and . ICASSP, page 5125-5128. IEEE, (2012)Phonetic and anthropometric conditioning of MSA-KST cognitive impairment characterization system., , , and . ASRU, page 228-233. IEEE, (2013)