A huge amount of research has been done in the field of speech signal processing in recent
years. In particular, there has been increasing interest in the automatic speech recognition …

Smart Home Personal Assistants (SPA) are an emerging innovation that is changing the
means by which home users interact with technology. However, several elements expose …

Continuous speech separation was recently proposed to deal with the overlapped speech in
natural conversations. While it was shown to significantly improve the speech recognition …

We present a structured overview of adaptation algorithms for neural network-based speech
recognition, considering both hybrid hidden Markov model/neural network systems and end …

Abstract The Image Source Method (ISM) is one of the most employed techniques to
calculate acoustic Room Impulse Responses (RIRs), however, its computational complexity …

The teacher-student (T/S) learning has been shown to be effective for a variety of problems
such as domain adaptation and model compression. One shortcoming of the T/S learning is …

Knowledge Distillation is an effective method of transferring knowledge from a large model
to a smaller model. Distillation can be viewed as a type of model compression, and has …

Automatic speech recognition (ASR) is helpful to improve quality of life. However, the
performance of ASR degrades in the case of noisy environment, limited privacy, and speech …

Conventional far-field automatic speech recognition (ASR) systems typically employ
microphone array techniques for speech enhancement in order to improve robustness …

Multi-view learning aims to fully exploit the view-consistency and view-discrepancy for
performance improvement. Knowledge Distillation (KD), characterized by the so-called …