An autoencoder with a combination of long short-term memory (LSTM) and gated recurrent units (GRU) models to recognize recorded signals from Servox Digital ...
To make the speech recognition outputs reliable, the speech signal needs to be enhanced before the recognition process begins, or the acoustic models should be ...
Self-Supervised Speech Enhancement for Arabic Speech Recognition in Real-World Environments. Language: English; Authors: Dendani, Bilal1,2 bilal.dendani@univ ...
WER (%) without and with SE | Download Table - ResearchGate
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Self-supervised learning (SSL) achieves great success in monaural speech enhancement, while the accuracy of the target speech estimation, particularly for ...
This paper presents a self-supervised deep neural network solution to speech denoising by easing the requirement that clean speech signals need to be ...
Self-Supervised Speech Enhancement for Arabic Speech Recognition in Real-World Environments. B Dendani, H Bahi, T Sari. Traitement du Signal 38 (2), 349-358, ...
Self-Supervised Speech Enhancement for Arabic Speech Recognition in Real-World Environments. Trait. Signal. 2021, 38, 349–358. [Google Scholar] [CrossRef] ...
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(PDF) Self-Supervised Speech Enhancement for Arabic Speech Recognition in Real-World Environments. PDF | Mobile speech recognition attracts much attention in ...
Mapping and masking are two important speech enhancement methods based on deep learning that aim to recover the original clean speech from corrupted speech.
End-to-end Jordanian dialect speech-to-text self-supervised ...
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Dec 21, 2022 · This technique enhances the performance of the speech recognition system in real-world situations, especially in unstructured data such as voice ...