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 …

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

This paper presents recent progress on integrating speech separation and enhancement
(SSE) into the ESPnet toolkit. Compared with the previous ESPnet-SE work, numerous …

The pooling layer has achieved good results in reducing the feature dimension and
parameters of convolution neural network (CNN), but it will cause different degrees of …

The number of channels is one of the important criteria in regard to digital audio quality.
Generally, stereo audio with two channels can provide better perceptual quality than mono …

Purely neural network (NN) based speech separation and enhancement methods, although
can achieve good objective scores, inevitably cause nonlinear speech distortions that are …

Recently cross-channel attention, which better leverages multi-channel signals from
microphone array, has shown promising results in the multi-party meeting scenario. Cross …

This paper presents a weakly-supervised multichannel neural speech separation method for
distant speech recognition (DSR) of real conversational speech mixtures. A blind source …

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 …