Real time speech enhancement using densely connected neural networks and Squeezed temporal convolutional modules

Sunny Dayal Vanambathina; Manaswini Burra; Bhumika Edupalli; Eswar Reddy Vallem; Venkata Sravani Nellore

doi:10.1007/s11042-023-17492-2

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Real time speech enhancement using densely connected neural networks and Squeezed temporal convolutional modules

Sunny Dayal Vanambathina Manaswini Burra Bhumika Edupalli Eswar Reddy Vallem Venkata Sravani Nellore

Year: 2023 Journal: Multimedia Tools and Applications Vol: 83 (17)Pages: 50289-50305 Publisher: Springer Science+Business Media

DOI: 10.1007/s11042-023-17492-2

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Keywords:

Computer science Encoder Convolutional neural network Time domain Speech recognition Block (permutation group theory) Artificial intelligence Real-time computing Computer vision

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Speech and Audio Processing

Physical Sciences → Computer Science → Signal Processing

Speech Recognition and Synthesis

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Adaptive Filtering Techniques

Physical Sciences → Engineering → Computational Mechanics

Real time speech enhancement using densely connected neural networks and Squeezed temporal convolutional modules

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