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Text-independent voice conversion using deep neural network based phonetic level features.

, , , , and . ICPR, page 2872-2877. IEEE, (2016)

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A Unified Deep Speaker Embedding Framework for Mixed-Bandwidth Speech Data., and . APSIPA ASC, page 1133-1138. IEEE, (2021)Exploring the Encoding Layer and Loss Function in End-to-End Speaker and Language Recognition System., , and . Odyssey, page 74-81. ISCA, (2018)Locality sensitive discriminant analysis for speaker verification., , , and . APSIPA, page 1-5. IEEE, (2016)Text-independent voice conversion using deep neural network based phonetic level features., , , , and . ICPR, page 2872-2877. IEEE, (2016)Survey Talk: End-to-End Deep Neural Network Based Speaker and Language Recognition., , and . INTERSPEECH, ISCA, (2019)A Novel Learnable Dictionary Encoding Layer for End-to-End Language Identification., , , , and . ICASSP, page 5189-5193. IEEE, (2018)End-to-end Language Identification using NetFV and NetVLAD., , , , , and . ISCSLP, page 319-323. IEEE, (2018)Utterance-level End-to-end Language Identification Using Attention-based CNN-BLSTM., , , and . ICASSP, page 5991-5995. IEEE, (2019)On-the-Fly Data Loader and Utterance-Level Aggregation for Speaker and Language Recognition., , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2020)Insights in-to-End Learning Scheme for Language Identification., , , , and . ICASSP, page 5209-5213. IEEE, (2018)