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Extending RNN-T-based speech recognition systems with emotion and language classification.

, , , , , , and . INTERSPEECH, page 546-549. ISCA, (2022)

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Distributed Deep Learning Strategies for Automatic Speech Recognition., , , , , , and . ICASSP, page 5706-5710. IEEE, (2019)Recent advances in conversational speech recognition using convolutional and recurrent neural networks., and . IBM J. Res. Dev., 61 (4-5): 1:1-1:10 (2017)Building Competitive Direct Acoustics-to-Word Models for English Conversational Speech Recognition., , , , and . ICASSP, page 4759-4763. IEEE, (2018)Robust speech recognition in Noisy Environments: The 2001 IBM spine evaluation system., , , , and . ICASSP, page 53-56. IEEE, (2002)Asynchronous Decentralized Distributed Training of Acoustic Models., , , , , , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2021)An architecture for rapid decoding of large vocabulary conversational speech., , , , and . INTERSPEECH, page 1977-1980. ISCA, (2003)Real-time multilingual HMM training robust to channel variations., , , and . INTERSPEECH, page 925-928. ISCA, (2000)Robust digit recognition in noisy environments: the IBM Aurora 2 system., , and . INTERSPEECH, page 629-632. ISCA, (2001)Speech Recognition Using Biologically-Inspired Neural Networks., , , , , and . ICASSP, page 6992-6996. IEEE, (2022)Integrating Text Inputs for Training and Adapting RNN Transducer ASR Models., , , and . ICASSP, page 8127-8131. IEEE, (2022)