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Abstractive headline generation for spoken content by attentive recurrent neural networks with ASR error modeling.

, , and . SLT, page 151-157. IEEE, (2016)

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Results on Sampling-based Scrambling for Secure Speech Communication., and . CRYPTO, page 115-119. U. C. Santa Barbara, Dept. of Elec. and Computer Eng., ECE Report No 82-04, (1981)Improved spoken term detection using support vector machines based on lattice context consistency., , , , and . ICASSP, page 5648-5651. IEEE, (2011)Almost-unsupervised Speech Recognition with Close-to-zero Resource Based on Phonetic Structures Learned from Very Small Unpaired Speech and Text Data., , , , and . CoRR, (2018)Live Lexicons and Dynamic Corpora Adapted to the Network Resources for Chinese Spoken Language Processing Applications in an Internet Era., and . LREC, European Language Resources Association, (2000)Context dependent quantization for distributed and/or robust speech recognition., , and . ICASSP, page 4413-4416. IEEE, (2008)Voice-based information retrieval - how far are we from the text-based information retrieval ?, and . ASRU, page 26-43. IEEE, (2009)Personalized word representations carrying personalized semantics learned from social network posts., , , and . ASRU, page 533-540. IEEE, (2017)Towards End-to-end Speech-to-text Translation with Two-pass Decoding., , , and . ICASSP, page 7175-7179. IEEE, (2019)Transcribing code-switched bilingual lectures using deep neural networks with unit merging in acoustic modeling., and . ICASSP, page 220-224. IEEE, (2014)Segmental Audio Word2Vec: Representing Utterances as Sequences of Vectors with Applications in Spoken Term Detection., , and . ICASSP, page 6269-6273. IEEE, (2018)