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End-to-end Language Identification using NetFV and NetVLAD., , , , , and . ISCSLP, page 319-323. IEEE, (2018)A Novel Learnable Dictionary Encoding Layer for End-to-End Language Identification., , , , and . ICASSP, page 5189-5193. IEEE, (2018)Insights into End-to-End Learning Scheme for Language Identification., , , , and . CoRR, (2018)Identifying Source Speakers for Voice Conversion based Spoofing Attacks on Speaker Verification Systems., , and . CoRR, (2022)The DKU-DUKEECE System for the Manipulation Region Location Task of ADD 2023., , , and . CoRR, (2023)Identifying Source Speakers for Voice Conversion Based Spoofing Attacks on Speaker Verification Systems., , and . ICASSP, page 1-5. IEEE, (2023)Electrolaryngeal speech enhancement based on a two stage framework with bottleneck feature refinement and voice conversion., , , , , , , , and . Biomed. Signal Process. Control., 80 (Part): 104279 (2023)Polyphone Disambiguation for Mandarin Chinese Using Conditional Neural Network with Multi-Level Embedding Features., , , , and . INTERSPEECH, page 2110-2114. ISCA, (2019)The DKU-JNU-EMA Electromagnetic Articulography Database on Mandarin and Chinese Dialects with Tandem Feature based Acoustic-to-Articulatory Inversion., , , , , and . ISCSLP, page 235-239. IEEE, (2018)Unsupervised query by example spoken term detection using features concatenated with Self-Organizing Map distances., , , and . ISCSLP, page 1-5. IEEE, (2018)