Deep convolutional and LSTM neural networks for acoustic modelling in automatic speech recognition

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Deep representation learning in speech processing: Challenges, recent advances, and future trends

S Latif, R Rana, S Khalifa, R Jurdak, J Qadir… - ar** a resilient speech classification system for individuals with voice
disorders poses a formidable challenge due to the significant variability and distortions …
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Dual supervised learning for non-native speech recognition

K Radzikowski, R Nowak, L Wang, O Yoshie - EURASIP Journal on Audio …, 2019 - Springer
Current automatic speech recognition (ASR) systems achieve over 90–95% accuracy,
depending on the methodology applied and datasets used. However, the level of accuracy …
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