End-To-End deep neural models for Automatic Speech Recognition for Polish Language
Karolina Pondel-Sycz,
Agnieszka Paula Pietrzak,
Julia Szymla
Abstract:This article concerns research on deep learning models (DNN) used for automatic speech recognition (ASR). In such systems, recognition is based on Mel Frequency Cepstral Coefficients (MFCC) acoustic features and spectrograms. The latest ASR technologies are based on convolutional neural networks (CNNs), recurrent neural networks (RNNs) and Transformers. The article presents an analysis of modern artificial intelligence algorithms adapted for automatic recognition of the Polish language. The differences between… Show more
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