Robustness against background noise and reverberation is essential for many real-world
speech-based applications. One way to achieve this robustness is to employ a speech …

Lately, the development of deep learning algorithms has marked milestones in the field of
speech processing. In particular, the release of pre-trained feature extraction models has …

Robustness against noise is critical for several speech applications in real-world
environments. In general, to improve the robustness, a speech enhancement front-end is …

Speech is among the main forms of communication between humans and robots in
industrial settings, being the most natural way for a human worker to issue commands …

Recent research has identified adversarial examples which are the challenges to DNN-
based ASR systems. In this paper, we propose a new model based on Convolutional GRU …

Understanding the intent is an essential step for maintaining effective communications. This
essential feature is used in communications for assembling, patrolling, and surveillance. A …

Second language learners often make grammatical mistakes, which can impact the
performance of Spoken Language Understanding (SLU) systems. SLU systems consist of …

In real-world scenarios, speech signals are often contaminated with environmental noises,
and reverberation, which degrades speech quality and intelligibility. Lately, the development …

Spoken language understanding (SLU) systems are a critical component of modern dialog
systems, enabling natural language interactions between humans and machines. However …