A survey of blind modulation classification techniques for OFDM signals
Blind modulation classification (MC) is an integral part of designing an adaptive or intelligent
transceiver for future wireless communications. Blind MC has several applications in the …
transceiver for future wireless communications. Blind MC has several applications in the …
Reference-based speech enhancement via feature alignment and fusion network
Speech enhancement aims at recovering a clean speech from a noisy input, which can be
classified into single speech enhancement and personalized speech enhancement …
classified into single speech enhancement and personalized speech enhancement …
Improving speech enhancement via event-based query
Existing deep learning based speech enhancement (SE) methods either use blind end-to-
end training or explicitly incorporate speaker embedding or phonetic information into the SE …
end training or explicitly incorporate speaker embedding or phonetic information into the SE …
Selective Film Conditioning with CTC-Based ASR Probability for Speech Enhancement
Enhancing speech quality and intelligibility for automatic speech recognition (ASR) plays an
important role in modeling speech enhancement (SE) systems. However, improving the ASR …
important role in modeling speech enhancement (SE) systems. However, improving the ASR …