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Robust Features in Deep-Learning-Based Speech Recognition.

, , , , , , , , , and . New Era for Robust Speech Recognition, Exploiting Deep Learning, Springer, (2017)

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Advances in deep neural network approaches to speaker recognition., , and . ICASSP, page 4814-4818. IEEE, (2015)Prosodic knowledge sources for automatic speech recognition., , , , and . ICASSP (1), page 208-211. IEEE, (2003)Simplified VTS-based I-vector extraction in noise-robust speaker recognition., , , and . ICASSP, page 4037-4041. IEEE, (2014)Study on the Fairness of Speaker Verification Systems on Underrepresented Accents in English., and . CoRR, (2022)A Speaker Verification Backend with Robust Performance across Conditions., , and . CoRR, (2021)Towards detecting the level of trust in the skills of a virtual assistant from the user's speech., , , , , , and . Comput. Speech Lang., (May 2023)The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases., , , , , , , , , and 5 other author(s). Nucleic Acids Res., 44 (Database-Issue): 471-480 (2016)The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases, , , , , , , , , and 5 other author(s). Nucleic Acids Res., (2016)Joint Probabilistic Linear Discriminant Analysis.. CoRR, (2017)An anticorrelation kernel for improved system combination in speaker verification., , and . Odyssey, page 22. ISCA, (2008)