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Improving Noise Robustness of Automatic Speech Recognition via Parallel Data and Teacher-student Learning., , , , , , , and . ICASSP, page 6475-6479. IEEE, (2019)Speaker change detection with privacy-preserving audio cues., , , and . ICMI, page 343-346. ACM, (2009)Realizing Petabyte Scale Acoustic Modeling., , , and . CoRR, (2019)Evaluating the robustness of privacy-sensitive audio features for speech detection in personal audio log scenarios., , , and . ICASSP, page 4474-4477. IEEE, (2010)Exploiting Large-Scale Teacher-Student Training for On-Device Acoustic Models., , , , , and . TDS, volume 12848 of Lecture Notes in Computer Science, page 413-424. Springer, (2021)Exploiting innocuous activity for correlating users across sites., , , , , and . WWW, page 447-458. International World Wide Web Conferences Steering Committee / ACM, (2013)Investigating privacy-sensitive features for speech detection in multiparty conversations., , , and . INTERSPEECH, page 2243-2246. ISCA, (2009)Fixed-Point Quantization Aware Training for on-Device Keyword-Spotting., , , , , , , and . ICASSP, page 1-5. IEEE, (2023)Sub 8-Bit Quantization of Streaming Keyword Spotting Models for Embedded Chipsets., , , , , , and . TSD, volume 13502 of Lecture Notes in Computer Science, page 364-376. Springer, (2022)N-Best Hypotheses Reranking for Text-to-SQL Systems., , and . SLT, page 663-670. IEEE, (2022)