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Speaker Identification Using Discriminative Features and Sparse Representation.

, , , , and . IEEE Trans. Inf. Forensics Secur., 12 (8): 1979-1987 (2017)

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Speaker Characterization Using TDNN-LSTM Based Speaker Embedding., , , , , and . ICASSP, page 6211-6215. IEEE, (2019)Exploring Effective Data Augmentation with TDNN-LSTM Neural Network Embedding for Speaker Recognition.. ASRU, page 291-295. IEEE, (2019)CNEG-VC: Contrastive Learning Using Hard Negative Example In Non-Parallel Voice Conversion., , , , and . ICASSP, page 1-5. IEEE, (2023)Language models learning for domain-specific natural language user interaction., , , and . ROBIO, page 2480-2485. IEEE, (2009)Combining Deep Embeddings of Acoustic and Articulatory Features for Speaker Identification., , , and . ICASSP, page 7589-7593. IEEE, (2020)Speaker Identification Using Discriminative Features and Sparse Representation., , , , and . IEEE Trans. Inf. Forensics Secur., 12 (8): 1979-1987 (2017)The NICT ASR system for IWSLT 2013., , , , , , and . IWSLT (Evaluation Campaign), (2013)應用語料庫和語意相依法則於中文語音文件之摘要 (Spoken Document Summarization Using Topic-Related Corpus and Semantic Dependency Grammar) In Chinese., , and . ROCLING, Association for Computational Linguistics and Chinese Language Processing (ACLCLP), Taiwan, (2004)Effects of music tempo and task difficulty on multi-attribute decision-making: An eye-tracking approach., , , and . Comput. Hum. Behav., 25 (1): 130-143 (2009)Classification of children with voice impairments using deep neural networks., and . APSIPA, page 1-5. IEEE, (2013)