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Improvements in RWTH LVCSR evaluation systems for Polish, Portuguese, English, urdu, and Arabic.

, , , , , and . INTERSPEECH, page 3154-3158. ISCA, (2015)

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Discriminative feature modeling for statistical speech recognition.. RWTH Aachen University, Germany, (2020)Investigation of morph-based speech recognition improvements across speech genres., , , and . INTERSPEECH, page 2687-2690. ISCA, (2009)Single headed attention based sequence-to-sequence model for state-of-the-art results on Switchboard-300., , , and . CoRR, (2020)Detection and Recovery of OOVs for Improved English Broadcast News Captioning., , , , and . INTERSPEECH, page 2973-2977. ISCA, (2019)Robust voice activity detection based on the entropy of noise-suppressed spectrum., , , and . INTERSPEECH, page 245-248. ISCA, (2005)Single Headed Attention Based Sequence-to-Sequence Model for State-of-the-Art Results on Switchboard., , , and . INTERSPEECH, page 551-555. ISCA, (2020)Reducing Exposure Bias in Training Recurrent Neural Network Transducers., , , , and . Interspeech, page 1802-1806. ISCA, (2021)Improving Customization of Neural Transducers by Mitigating Acoustic Mismatch of Synthesized Audio., , , , and . Interspeech, page 2027-2031. ISCA, (2021)Advancing RNN Transducer Technology for Speech Recognition., , , and . ICASSP, page 5654-5658. IEEE, (2021)Semi-Supervised Training and Data Augmentation for Adaptation of Automatic Broadcast News Captioning Systems., , , , , and . ASRU, page 867-874. IEEE, (2019)