Humans can listen to a target speaker even in challenging acoustic conditions that have
noise, reverberation, and interfering speakers. This phenomenon is known as the cocktail …

Despite the rapid progress of automatic speech recognition (ASR) technologies in the past
few decades, recognition of disordered speech remains a highly challenging task to date …

Communication has been an important aspect of human life, civilization, and globalization
for thousands of years. Biometric analysis, education, security, healthcare, and smart cities …

Accurate recognition of cocktail party speech containing overlapping speakers, noise and
reverberation remains a highly challenging task to date. Motivated by the invariance of …

State-of-the-art neural network language models (NNLMs) represented by long short term
memory recurrent neural networks (LSTM-RNNs) and Transformers are becoming highly …

Prior studies on audio-visual speech recognition typically assume the visibility of speaking
lips, ignoring the fact that visual occlusion occurs in real-world videos, thus adversely …

Automatic speech recognition (ASR) has been significantly improved in the past years.
However, most robust ASR systems are based on air-conducted (AC) speech, and their …

Despite the rapid advance of automatic speech recognition (ASR) technologies, accurate
recognition of cocktail party speech characterised by the interference from overlapping …

Automatic speech recognition (ASR) of multi-channel multi-speaker overlapped speech
remains one of the most challenging tasks to the speech community. In this paper, we look …

Recognition of overlapped speech has been a highly challenging task to date. State-of-the-
art multi-channel speech separation system are becoming increasingly complex and …