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Mismatched crowdsourcing: Mining latent skills to acquire speech transcriptions.

, , , and . ACSSC, page 1277-1281. IEEE, (2017)

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The Research About Spatial Distribution of Urban Functions Based on POI Data., , , , , and . HCC, volume 12634 of Lecture Notes in Computer Science, page 372-381. Springer, (2020)Topic and Keyword Identification for Low-resourced Speech Using Cross-Language Transfer Learning., , and . INTERSPEECH, page 2047-2051. ISCA, (2018)Recognizing Zero-Resourced Languages Based on Mismatched Machine Transcriptions., , and . ICASSP, page 5979-5983. IEEE, (2018)Complex ICA-R., and . IJCNN, page 1-8. IEEE, (2010)Low-resource spoken keyword search strategies in georgian inspired by distinctive feature theory., , , , , , , , , and 3 other author(s). APSIPA, page 1322-1327. IEEE, (2017)Length- and Noise-Aware Training Techniques for Short-Utterance Speaker Recognition., , and . INTERSPEECH, page 3835-3839. ISCA, (2020)Mismatched Crowdsourcing based Language Perception for Under-resourced Languages., , and . SLTU, volume 81 of Procedia Computer Science, page 23-29. Elsevier, (2016)Corpus-based pronunciation variation rule analysis for singapore English., , , and . SLaTE, page 35-40. ISCA, (2015)Incremental temporal summarization in multi-party meetings., , , and . SIGDIAL, page 530-541. Association for Computational Linguistics, (2021)Position Matters! Empirical Study of Order Effect in Knowledge-grounded Dialogue., , , , , , , , , and . CoRR, (2023)