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Audio Feature Analysis for Precise Vocalic Segments Classification in English., and . MCSS, volume 1284 of Communications in Computer and Information Science, page 265-277. Springer, (2020)Vocalic Segments Classification Assisted by Mouth Motion Capture., , , and . HSI, page 318-324. IEEE, (2018)Detection of Lexical Stress Errors in Non-native (L2) English with Data Augmentation and Attention., , , , , , , , and . CoRR, (2020)Detection of Lexical Stress Errors in Non-Native (L2) English with Data Augmentation and Attention., , , , , , , , and . Interspeech, page 3915-3919. ISCA, (2021)Audio-visual aspect of the Lombard effect and comparison with recordings depicting emotional states., , , and . SPA, page 104-107. IEEE, (2018)Ranking Speech Features for Their Usage in Singing Emotion Classification., and . ISMIS, volume 12117 of Lecture Notes in Computer Science, page 225-234. Springer, (2020)Selection of Features for Multimodal Vocalic Segments Classification., and . MISSI, volume 833 of Advances in Intelligent Systems and Computing, page 490-500. Springer, (2018)Real and Virtual Instruments in Machine Learning -Training and Comparison of Classification Results., , and . SPA, page 153-157. IEEE, (2019)Constructing a Dataset of Speech Recordings with Lombard Effect., , and . SPA, page 180-185. IEEE, (2020)1D convolutional context-aware architectures for acoustic sensing and recognition of passing vehicle type., , and . SPA, page 142-145. IEEE, (2020)