Aiming at the problem that traditional speech acquisition and recognition are susceptible to
environmental noise, this paper proposes a flexible graphene sensor to detect vocal …

Speech applications in far-field real world settings often deal with signals that are corrupted
by reverberation. The task of dereverberation constitutes an important step to improve the …

This paper proposes a novel approach to reducing the word error rate (WER) of an
automatic speech recognition (ASR) system in a noisy reverberant room. This research …

Ship-radiated noise separation is critical in both military and economic domains. However,
due to the complex underwater environments with multiple noise sources and reverberation …

The end-to-end (E2E) automatic speech recognition (ASR) systems are often required to
operate in reverberant conditions, where the long-term sub-band envelopes of the speech …

Speech enhancement aims to improve the perceptual quality and intelligibility of speech in
the presence of additive noise, reverberation, competing speech, background music etc …

Fault diagnosis plays an important role in the safe and stable operation of rotating
machinery, which is conducive to industrial development and economic improvement …

This study investigates the creation of a deep neural network-based speech emotion
recognition (SER) model and its transformation into a TinyML model. In order to learn from …

Automatic speech recognition (ASR) based technologies are radically changing the way we
interact with digital services and information. Most of these application leverage on …