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Child automatic speech recognition for US English: child interaction with living-room-electronic-devices.

, , , , , and . WOCCI, page 21-26. ISCA, (2014)

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Analysis of MLP-Based Hierarchical Phoneme Posterior Probability Estimator., , , , and . IEEE Trans. Speech Audio Process., 19 (2): 225-241 (2011)Confidence measures in speech recognition based on probability distribution of likelihoods., and . INTERSPEECH, page 3001-3004. ISCA, (2005)Reverse Correlation for Analyzing MLP Posterior Features in ASR., , and . TSD, volume 5246 of Lecture Notes in Computer Science, page 469-476. Springer, (2008)MLP based hierarchical system for task adaptation in ASR., , and . ASRU, page 365-370. IEEE, (2009)Scalable Wide and Deep Learning for Computer Assisted Coding., , , , , , , and . NAACL-HLT (3), page 1-7. Association for Computational Linguistics, (2018)Posterior features for template-based ASR., , , and . ICASSP, page 4864-4867. IEEE, (2011)Large Scale Sequence-to-Sequence Models for Clinical Note Generation from Patient-Doctor Conversations., , , , , , and . ClinicalNLP@ACL, page 138-143. Association for Computational Linguistics, (2023)Intelligent Multi-modal Interfaces for Mobile Applications in Hostile Environment(IM-HOST)., , , , , , , and . Human Machine Interaction, volume 5440 of Lecture Notes in Computer Science, Springer, (2009)Combining evidence from a generative and a discriminative model in phoneme recognition., and . INTERSPEECH, page 2414-2417. ISCA, (2008)Exploiting contextual information for improved phoneme recognition., , , and . ICASSP, page 4449-4452. IEEE, (2008)