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Improving ASR Confidence Scores for Alexa Using Acoustic and Hypothesis Embeddings.

, , , , and . INTERSPEECH, page 2175-2179. ISCA, (2019)

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Streaming End-to-End Bilingual ASR Systems with Joint Language Identification., , , , , , , , , and 4 other author(s). CoRR, (2020)Robust Online i-Vectors for Unsupervised Adaptation of DNN Acoustic Models: A Study in the Context of Digital Voice Assistants., and . INTERSPEECH, page 2401-2405. ISCA, (2017)Language Model Bootstrapping Using Neural Machine Translation for Conversational Speech Recognition., , and . ASRU, page 487-493. IEEE, (2019)Unified Modeling of Multi-Domain Multi-Device ASR Systems., , , , , , , and . TSD, volume 14102 of Lecture Notes in Computer Science, page 283-292. Springer, (2023)Improving ASR Confidence Scores for Alexa Using Acoustic and Hypothesis Embeddings., , , , and . INTERSPEECH, page 2175-2179. ISCA, (2019)Improved Training Strategies for End-to-End Speech Recognition in Digital Voice Assistants., , , , and . INTERSPEECH, page 2792-2796. ISCA, (2020)Leveraging Unlabeled Speech for Sequence Discriminative Training of Acoustic Models., and . INTERSPEECH, page 3585-3589. ISCA, (2020)Efficient Large Scale Semi-Supervised Learning for CTC Based Acoustic Models., , , , , and . SLT, page 148-155. IEEE, (2021)Factor Analysis of Auto-Associative Neural Networks With Application in Speaker Verification., and . IEEE Trans. Neural Networks Learn. Syst., 24 (4): 522-528 (2013)Multi-Dialect Acoustic Modeling Using Phone Mapping and Online i-Vectors., , and . INTERSPEECH, page 2125-2129. ISCA, (2019)