Research on speech processing has traditionally considered the task of designing hand-
engineered acoustic features (feature engineering) as a separate distinct problem from the …

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 …

Recently great strides have been made in the field of automatic speech recognition (ASR) by
using various deep learning techniques. In this study, we present a thorough comparison …

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 describe the design of Kaldi, a free, open-source toolkit for speech recognition research.
Kaldi provides a speech recognition system based on finite-state transducers (using the …

Machine-learning (ML) enables computers to learn how to recognise patterns, make
unintended decisions, or react to a dynamic environment. The effectiveness of trained …

We present a method for gesture detection and localisation based on multi-scale and multi-
modal deep learning. Each visual modality captures spatial information at a particular spatial …

Julius is an open-source large-vocabulary speech recognition software used for both
academic research and industrial applications. It executes real-time speech recognition of a …

Objective: Video and sound acquisition and processing technologies have seen great
improvements in recent decades, with many applications in the biomedical area. The aim of …

The first step of most acoustic analyses unavoidably involves the alignment of recorded
speech sounds with their phonetic annotation. This step is very labor-intensive and cost …