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Data-driven rescaled Teager energy cepstral coefficients for noise-robust speech recognition.

, and . APSIPA, page 1-4. IEEE, (2012)

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Improved spoken term detection with graph-based re-ranking in feature space., , , , and . ICASSP, page 5644-5647. IEEE, (2011)Combining De-noising Auto-encoder and Recurrent Neural Networks in End-to-End Automatic Speech Recognition for Noise Robustness., and . SLT, page 405-410. IEEE, (2018)Regression-based Sound Event Detection with Semi-supervised Learning., , , , , , and . APSIPA ASC, page 2336-2342. IEEE, (2023)Frontend post-processing and backend model enhancement on the Aurora 2.0/3.0 databases., , and . INTERSPEECH, page 241-244. ISCA, (2002)即時中文語音合成系統(Real-Time Mandarin Speech Synthesis System)., and . ROCLING, page 256-265. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP), (2019)Discussion on domain generalization in the cross-device speaker verification system., , , , and . ROCLING, page 87-94. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP), (2021)Exploiting Low-Resource Code-Switching Data to Mandarin-English Speech Recognition Systems., and . ROCLING, page 81-86. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP), (2021)Personalized Lightweight Text-to-Speech: Voice Cloning with Adaptive Structured Pruning., , , , and . ICASSP, page 1-5. IEEE, (2023)deepSA at SemEval-2017 Task 4: Interpolated Deep Neural Networks for Sentiment Analysis in Twitter., , and . SemEval@ACL, page 616-620. Association for Computational Linguistics, (2017)Speech emotion recognition with skew-robust neural networks., , and . ICASSP, page 2751-2755. IEEE, (2017)