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An Investigation of Non-linear i-vectors for Speaker Verification.

, , and . INTERSPEECH, page 87-91. ISCA, (2018)

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Non-Autoregressive Transformer for Speech Recognition., , , , and . IEEE Signal Process. Lett., (2021)Deep Neural Network Approaches to Speaker and Language Recognition., , and . IEEE Signal Process. Lett., 22 (10): 1671-1675 (2015)Attentive Filtering Networks for Audio Replay Attack Detection., , , , , and . CoRR, (2018)Stabilized training of joint energy-based models and their practical applications., , , , , , and . CoRR, (2023)NeuroSpeech: An open-source software for Parkinson's speech analysis., , , , , , , , , and 6 other author(s). Digit. Signal Process., (2018)Interpretable speech features vs. DNN embeddings: What to use in the automatic assessment of Parkinson's disease in multi-lingual scenarios., , , , , , and . Comput. Biol. Medicine, (November 2023)rVAD: An unsupervised segment-based robust voice activity detection method., , and . Comput. Speech Lang., (2020)Unraveling Adversarial Examples against Speaker Identification - Techniques for Attack Detection and Victim Model Classification., , , and . CoRR, (2024)Analysis of the Effects of Supraglottal Tract Surgical Procedures in Automatic Speaker Recognition Performance., , , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2020)x-Vectors Meet Adversarial Attacks: Benchmarking Adversarial Robustness in Speaker Verification., , and . INTERSPEECH, page 4233-4237. ISCA, (2020)