We formulate acoustic echo and noise cancellation jointly as deep learning based speech
separation, where near-end speech is separated from a single microphone recording and …

Traditional acoustic echo cancellation (AEC) works by identifying an acoustic impulse
response using adaptive algorithms. This paper proposes a neural cascade architecture for …

The paper presents distributed algorithms for combined acoustic echo cancellation (AEC)
and noise reduction (NR) in a wireless acoustic sensor and actuator network (WASAN) …

We consider the problem of simultaneous reduction of acoustic echo, reverberation and
noise. In real scenarios, these distortion sources may occur simultaneously and reducing …

For efficient real-time speech communication, it is crucial to design a robust acoustic echo
cancellation (AEC) system that can effectively mitigate echo signals, which degrade speech …

Abstract In a recent work [1], a novel Delta Function-based Formant Shifting approach was
proposed for speech intelligibility improvement. The underlying principle is to dynamically …

A formant shifting (FS) based speech intelligibility improvement approach [1] performs
modifications on clean vocal sound messages. However in real time conditions, clean …

Time-variant factors often occur in real-world full-duplex communication applications. Some
of them are caused by the complex environment such as non-stationary environmental …

For real-time acoustic echo cancellation in noisy environments, the classical linear adaptive
filters (LAFs) can only remove the linear components of acoustic echo. To further attenuate …

Interference cancellation between the echo of the sensing signal and the communication
signal is an challenging issue in integrated sensing and communication (ISAC) systems …