Time domain speech enhancement with CNN and time-attention transformer

• Main Authors: Saleem, Nasir, Gunawan, Teddy Surya, Dhahbi, Sami, Bourouis, Sami
• Format: Article
• Language: English; English
• Published: Elsevier 2024
• Subjects: TK7885 Computer engineering
• Online Access: http://irep.iium.edu.my/111097/2/111097_Time%20domain%20speech%20enhancement%20with%20CNN_SCOPUS.pdf; http://irep.iium.edu.my/111097/3/111097_Time%20domain%20speech%20enhancement%20with%20CNN.pdf; http://irep.iium.edu.my/111097/; https://www.sciencedirect.com/science/article/abs/pii/S1051200424000332?via%3Dihub; https://doi.org/10.1016/j.dsp.2024.104408

Speech enhancement in the time domain involves improving the quality and intelligibility of noisy speech by processing the waveform directly without the need for explicit feature extraction or domain transformation. Deep learning is a powerful approach for time domain speech enhancement, offering si...