Optimizing Computational Complexity: Real-Time Speech Enhancement Using an Efficient Convolutional Recurrent Dense Neural Network

Real-time communication through cell phones and telephones often involves challenging acoustic environments where the original speech signal is contaminated by environmental noise, known as the cocktail party problem. Audio source separation can be an effective solution for isolating the voice in a...

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Vydané v:	2023 International Symposium on Image and Signal Processing and Analysis (ISPA) s. 1 - 6
Hlavní autori:	Rajabi, Amir, Krini, Mohammed
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 18.09.2023
Predmet:	Artificial neural networks Audio source separation Computational cost Computational modeling Convolution CRD model Phase- aware Speech enhancement Source separation Speech enhancement Speech quality and intelligibility Telephone sets Working environment noise
ISSN:	1849-2266
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