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Joint ASR and Language Identification Using RNN-T: An Efficient Approach to Dynamic Language Switching.

, , , , , , , , , , , , , , , и . ICASSP, стр. 7218-7222. IEEE, (2021)

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Advances in all-neural speech recognition., , , и . ICASSP, стр. 4805-4809. IEEE, (2017)A Bayesian approach to speech feature enhancement using the dynamic cepstral prior., , и . ICASSP, стр. 829-832. IEEE, (2002)Self-stabilized deep neural network., и . ICASSP, стр. 5450-5454. IEEE, (2016)Parallelizing WFST speech decoders., , , , , и . ICASSP, стр. 5325-5329. IEEE, (2016)The Microsoft 2016 Conversational Speech Recognition System., , , , , , , и . CoRR, (2016)Dynamic compensation of HMM variances using the feature enhancement uncertainty computed from a parametric model of speech distortion., , и . IEEE Trans. Speech Audio Process., 13 (3): 412-421 (2005)Feature Compensation.. Techniques for Noise Robustness in Automatic Speech Recognition, Wiley, (2012)Efficient Minimum Word Error Rate Training of RNN-Transducer for End-to-End Speech Recognition., , , , , , и . INTERSPEECH, стр. 2807-2811. ISCA, (2020)Improved Representation Learning For Acoustic Event Classification Using Tree-Structured Ontology., , , , , , , и . ICASSP, стр. 321-325. IEEE, (2022)High-performance robust speech recognition using stereo training data., , , , и . ICASSP, стр. 301-304. IEEE, (2001)