Speech enhancement plays an essential role in a wide range of speech processing
applications. Recent studies on speech enhancement tend to investigate how to effectively …

This paper proposes a Deep Learning (DL) based Wiener filter estimator for speech
enhancement in the framework of the classical spectral-domain speech estimator algorithm …

Many young children prefer speech based interfaces over text, as they are relatively slow
and error-prone with text input. However, children ASR can be challenging due to the lack of …

The performance of speech coding, speech recognition, and speech enhancement systems
that rely on the augmented Kalman filter (AKF) largely depend upon the accuracy of clean …

Recently, deep neural network (DNN)-based speech enhancement has shown considerable
success, and map**-based and masking-based are the two most commonly used …

Deep learning approaches have been successfully applied to single channel speech
enhancement exhibiting significant performance improvement. Recently, approaches …

In the field of human-computer interaction, the current more advanced speech recognition
systems are all single speech recognition, and it is urgent to adopt new in-depth learning …

Speech corrupted by background noise (or noisy speech) can cause misinterpretation and
fatigue during phone and conference calls, and for hearing aid users. Noisy speech can also …