SpeechBrain is an open-source and all-in-one speech toolkit. It is designed to facilitate the
research and development of neural speech processing technologies by being simple …

Recurrent Neural Networks (RNNs) have long been the dominant architecture in sequence-
to-sequence learning. RNNs, however, are inherently sequential models that do not allow …

This document describes version 0.10 of TorchAudio: building blocks for machine learning
applications in the audio and speech processing domain. The objective of TorchAudio is to …

In recent years, wsj0-2mix has become the reference dataset for single-channel speech
separation. Most deep learning-based speech separation models today are benchmarked …

Speech enhancement and separation are two fundamental tasks for robust speech
processing. Speech enhancement suppresses background noise while speech separation …

It is challenging to improve automatic speech recognition (ASR) performance in noisy
conditions with single-channel speech enhancement (SE). In this paper, we investigate the …

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 …

Deep neural networks have shown excellent prospects in speech separation tasks.
However, obtaining good results while keeping a low model complexity remains challenging …

Recent advances in the design of neural network architectures, in particular those
specialized in modeling sequences, have provided significant improvements in speech …

This paper describes ESPnet2-TTS, an end-to-end text-to-speech (E2E-TTS) toolkit.
ESPnet2-TTS extends our earlier version, ESPnet-TTS, by adding many new features …