The cocktail party problem, ie, tracing and recognizing the speech of a specific speaker
when multiple speakers talk simultaneously, is one of the critical problems yet to be solved …

In this paper, we present an overview on the topic of noise reduction in the short-time Fourier
transform (STFT) domain. First, we briefly review the conventional literature in the single-and …

Speech enhancement and separation are core problems in audio signal processing, with
commercial applications in devices as diverse as mobile phones, conference call systems …

Recent studies on multi-microphone speech databases indicate that it is beneficial to
perform beamforming to improve speech recognition accuracies, especially when there is a …

The recently-proposed deep clustering algorithm represents a fundamental advance
towards solving the cocktail party problem in the single-channel case. When multiple …

The machine recognition of speech spoken at a distance from the microphones, known as
far-field automatic speech recognition (ASR), has received a significant increase in attention …

This paper considers acoustic beamforming for noise robust automatic speech recognition
(ASR). A beamformer attenuates background noise by enhancing sound components …

Multi-source localization is an important and challenging technique for multi-talker
conversation analysis. This paper proposes a novel supervised learning method using deep …

We present ESPnet-SE, which is designed for the quick development of speech
enhancement and speech separation systems in a single framework, along with the optional …

This contribution presents a speech enhancement system for the CHiME-5 Dinner Party
Scenario. The front-end employs multi-channel linear time-variant filtering and achieves its …