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Low-rank bases for factorized hidden layer adaptation of DNN acoustic models.

, and . SLT, page 652-658. IEEE, (2016)

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Improving Speech Transcription for Mandarin-English Translation., , , , , , , and . ICASSP (4), page 97-100. IEEE, (2007)Personalization of End-to-End Speech Recognition on Mobile Devices for Named Entities., , , , , , , , , and 2 other author(s). ASRU, page 23-30. IEEE, (2019)Regression-Based Context-Dependent Modeling of Deep Neural Networks for Speech Recognition., and . IEEE ACM Trans. Audio Speech Lang. Process., 22 (11): 1660-1669 (2014)Design and implementation of the note-taking style haptic voice recognition for mobile devices., and . ICMI, page 533-538. ACM, (2012)Implicit trajectory modelling using temporally varying weight regression for automatic speech recognition., and . ICASSP, page 4761-4764. IEEE, (2012)Refinements of regression-based context-dependent modelling of deep neural networks for automatic speech recognition., and . ICASSP, page 3022-3026. IEEE, (2014)Approximated Parallel Model Combination for efficient noise-robust speech recognition.. ICASSP, page 7383-7387. IEEE, (2013)A multimodal stroke-based predictive input for efficient Chinese text entry on mobile devices.. SLT, page 448-453. IEEE, (2014)Fast Contextual Adaptation with Neural Associative Memory for On-Device Personalized Speech Recognition., , , , , , and . ICASSP, page 6632-6636. IEEE, (2022)Comparison of Smoothing Techniques for Robust Context Dependent Acoustic Modelling in Hybrid NN/HMM Systems., and . INTERSPEECH, page 457-460. ISCA, (2011)