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 …

We present a state-of-the-art speech recognition system developed using end-to-end deep
learning. Our architecture is significantly simpler than traditional speech systems, which rely …

The field of speech processing has undergone a transformative shift with the advent of deep
learning. The use of multiple processing layers has enabled the creation of models capable …

This paper introduces wav2letter++, a fast open-source deep learning speech recognition
framework. wav2letter++ is written entirely in C++, and uses the ArrayFire tensor library for …

Current state-of-the-art speech recognition systems build on recurrent neural networks for
acoustic and/or language modeling, and rely on feature extraction pipelines to extract mel …

Abstract We present Deep Voice, a production-quality text-to-speech system constructed
entirely from deep neural networks. Deep Voice lays the groundwork for truly end-to-end …

This paper introduces a new open source platform for end-to-end speech processing named
ESPnet. ESPnet mainly focuses on end-to-end automatic speech recognition (ASR), and …

We present SpecAugment, a simple data augmentation method for speech recognition.
SpecAugment is applied directly to the feature inputs of a neural network (ie, filter bank …

Recently, convolutional neural networks (CNNs) have been shown to outperform the
standard fully connected deep neural networks within the hybrid deep neural …

This paper presents FunCodec, a fundamental neural speech codec toolkit, which is an
extension of the open-source speech processing toolkit FunASR. FunCodec provides …