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Automatic Speech Recognition and Topic Identification from Speech for Almost-Zero-Resource Languages.

, , , , , , , , and . INTERSPEECH, page 2052-2056. ISCA, (2018)

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Deep Neural Network Approaches to Speaker and Language Recognition., , and . IEEE Signal Process. Lett., 22 (10): 1671-1675 (2015)Non-Autoregressive Transformer for Speech Recognition., , , , and . IEEE Signal Process. Lett., (2021)NeuroSpeech: An open-source software for Parkinson's speech analysis., , , , , , , , , and 6 other author(s). Digit. Signal Process., (2018)Unraveling Adversarial Examples against Speaker Identification - Techniques for Attack Detection and Victim Model Classification., , , and . CoRR, (2024)Attentive Filtering Networks for Audio Replay Attack Detection., , , , , and . CoRR, (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)Stabilized training of joint energy-based models and their practical applications., , , , , , and . CoRR, (2023)rVAD: An unsupervised segment-based robust voice activity detection method., , and . Comput. Speech Lang., (2020)x-Vectors Meet Adversarial Attacks: Benchmarking Adversarial Robustness in Speaker Verification., , and . INTERSPEECH, page 4233-4237. ISCA, (2020)Representation Learning to Classify and Detect Adversarial Attacks Against Speaker and Speech Recognition Systems., , , and . Interspeech, page 4304-4308. ISCA, (2021)