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Speech recognition with prediction-adaptation-correction recurrent neural networks.

, , , and . ICASSP, page 5004-5008. IEEE, (2015)

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G2G: TTS-Driven Pronunciation Learning for Graphemic Hybrid ASR., , , and . CoRR, (2019)Automatic Removal of Typed Keystrokes From Speech Signals., , and . IEEE Signal Process. Lett., 14 (5): 363-366 (2007)Acoustic model adaptation via Linear Spline Interpolation for robust speech recognition., , and . ICASSP, page 4550-4553. IEEE, (2010)Transformer-based Acoustic Modeling for Hybrid Speech Recognition., , , , , , , , , and 3 other author(s). CoRR, (2019)Massively Multilingual ASR on 70 Languages: Tokenization, Architecture, and Generalization Capabilities., , , , , , and . CoRR, (2022)Introduction to the Issue on Far-Field Speech Processing in the Era of Deep Learning: Speech Enhancement, Separation, and Recognition., , , , and . IEEE J. Sel. Top. Signal Process., 13 (4): 785-786 (2019)Improved Neural Language Model Fusion for Streaming Recurrent Neural Network Transducer., , , , , , and . ICASSP, page 7333-7337. IEEE, (2021)Flexi-Transducer: Optimizing Latency, Accuracy and Compute for Multi-Domain On-Device Scenarios., , , , , , , , , and . Interspeech, page 2107-2111. ISCA, (2021)Collaborative Training of Acoustic Encoders for Speech Recognition., , , , , and . Interspeech, page 4573-4577. ISCA, (2021)Calibration of microphone arrays for improved speech recognition., and . INTERSPEECH, page 1005-1008. ISCA, (2001)