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Zero-resource spoken term detection using hierarchical graph-based similarity search.

, , , , and . ICASSP, page 7093-7097. IEEE, (2014)

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End-to-End Speech Recognition: A Survey., , , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2024)Search error risk minimization in Viterbi beam search for speech recognition., , and . ICASSP, page 4934-4937. IEEE, (2010)Minimum word error training of long short-term memory recurrent neural network language models for speech recognition., , , and . ICASSP, page 5990-5994. IEEE, (2016)Joint CTC-attention based end-to-end speech recognition using multi-task learning., , and . ICASSP, page 4835-4839. IEEE, (2017)Graph index based query-by-example search on a large speech data set., , , , and . ICASSP, page 8520-8524. IEEE, (2013)Streaming Automatic Speech Recognition with the Transformer Model., , and . ICASSP, page 6074-6078. IEEE, (2020)Cycle-consistency Training for End-to-end Speech Recognition., , , , , and . ICASSP, page 6271-6275. IEEE, (2019)Joint CTC/attention decoding for end-to-end speech recognition., , and . ACL (1), page 518-529. Association for Computational Linguistics, (2017)CNN-based Multichannel End-to-End Speech Recognition for Everyday Home Environments*., , , , and . EUSIPCO, page 1-5. IEEE, (2019)Efficient Beam Width Control to Suppress Excessive Speech Recognition Computation Time Based on Prior Score Range Normalization., , , , , and . INTERSPEECH, page 1011-1014. ISCA, (2012)