State-of-the-art large vocabulary continuous speech recognition systems use mostly phone
based acoustic models (AMs) and word based lexical and language models. However …

State-of-the-art large vocabulary continuous speech recognition (LVCSR) systems often
combine outputs from multiple sub-systems that may even be developed at different sites …

The Mandarin Chinese language is known to be strongly influenced by a rich set of regional
accents, while Mandarin speech with each accent is quite low resource. Hence, an important …

This paper presents the development of the 2014 Cambridge University conversational
telephone Mandarin Chinese LVCSR system for the DARPA BOLT speech translation …

Gabor features have been proposed for extracting spectro-temporal modulation information
from speech signals, and have been shown to yield large improvements in recognition …

Abstract Hidden Markov models (HMMs) have been the mainstream acoustic modelling
approach for state-of-the-art automatic speech recognition (ASR) systems over the past few …

The syllable-based automatic speech recognition (ASR) systems commonly perform better
than the phoneme-based ones. This paper focuses on developing an Indonesian …

Stød is a prosodic feature in Danish spoken language that is able to distinguish lexemes.
This distinction can also identify word class and has the potential to improve the …

State-of-the-art large vocabulary continuous speech recognition (LVCSR) systems often
combine outputs from multiple subsystems developed at different sites. Cross system …

In this paper, we propose word-level hidden Markov models (HMMs) to supplement state-of-
the-art phone-based acoustic modeling in order to enhance the performance of automatic …