The field of machine translation (MT), the automatic translation of written text from one
natural language into another, has experienced a major paradigm shift in recent years …

We introduce fairseq S2T, a fairseq extension for speech-to-text (S2T) modeling tasks such
as end-to-end speech recognition and speech-to-text translation. It follows fairseq's careful …

Generative adversarial networks have seen rapid development in recent years and have led
to remarkable improvements in generative modelling of images. However, their application …

NeMo (Neural Modules) is a Python framework-agnostic toolkit for creating AI applications
through re-usability, abstraction, and composition. NeMo is built around neural modules …

In this paper, we report state-of-the-art results on LibriSpeech among end-to-end speech
recognition models without any external training data. Our model, Jasper, uses only 1D …

This paper introduces a new end-to-end text-to-speech (E2E-TTS) toolkit named ESPnet-
TTS, which is an extension of the open-source speech processing toolkit ESPnet. The toolkit …

The remarkable success of transformers in the field of natural language processing has
sparked the interest of the speech-processing community, leading to an exploration of their …

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 …

We present ESPnet-ST, which is designed for the quick development of speech-to-speech
translation systems in a single framework. ESPnet-ST is a new project inside end-to-end …

Unsupervised speech representation learning has shown remarkable success at finding
representations that correlate with phonetic structures and improve downstream speech …