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Real-Time Robust Automatic Speech Recognition Using Compact Support Vector Machines.

, , , , and . IEEE Trans. Speech Audio Process., 20 (4): 1347-1361 (2012)

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UC3M High Level Feature Extraction at TRECVID 2008., , , , , , , and . TRECVID, National Institute of Standards and Technology (NIST), (2008)Transfer Learning-Based Cough Representations for Automatic Detection of COVID-19., , , , , and . Interspeech, page 436-440. ISCA, (2021)Assessment of Parkinson's Disease Medication State Through Automatic Speech Analysis., , , , , , , and . INTERSPEECH, page 4591-4595. ISCA, (2020)Hybrid Models for Automatic Speech Recognition: A Comparison of Classical ANN and Kernel Based Methods., , , and . NOLISP, volume 4885 of Lecture Notes in Computer Science, page 152-160. Springer, (2007)Data Balancing for Efficient Training of Hybrid ANN/HMM Automatic Speech Recognition Systems., , , and . IEEE Trans. Speech Audio Process., 19 (3): 468-481 (2011)Using Self-Supervised Feature Extractors with Attention for Automatic COVID-19 Detection from Speech., , , and . CoRR, (2021)Robust ASR using Support Vector Machines., , , , and . Speech Commun., 49 (4): 253-267 (2007)Real-Time Robust Automatic Speech Recognition Using Compact Support Vector Machines., , , , and . IEEE Trans. Speech Audio Process., 20 (4): 1347-1361 (2012)SVMs for Automatic Speech Recognition: A Survey., , , , , and . WNSP, volume 4391 of Lecture Notes in Computer Science, page 190-216. Springer, (2005)