Since convolutional neural networks (CNNs) achieved top performance on the ImageNet
task in 2012, deep learning has become the preferred approach to addressing computer …

Mispronunciation detection is an essential component of the Computer-Assisted
Pronunciation Training (CAPT) systems. State-of-the-art mispronunciation detection models …

In recent years, machine learning models for automated speech scoring systems were
mainly built using data-driven approaches with handcrafted features as one of the main …

This research report provides an overview of the R&D efforts at Educational Testing Service
related to its capability for automated scoring of nonnative spontaneous speech with the …

(1) Background: Speech synthesis has customarily focused on adult speech, but with the
rapid development of speech-synthesis technology, it is now possible to create child voices …

This paper introduces approaches based on vocal tract length normalisation (VTLN)
techniques for hybrid deep neural network (DNN)-hidden Markov model (HMM) automatic …

This paper introduces deep neural network (DNN)–hidden Markov model (HMM)-based
methods to tackle speech recognition in heterogeneous groups of speakers including …

In the presented work, we explore some of the challenges in recognizing children's speech
on automatic speech recognition (ASR) systems developed using adults' speech. In such …

With increasing global demand for learning English as a second language, there has been
considerable interest in methods of automatic assessment of spoken language proficiency …

On account of large acoustic mismatch, automatic speech recognition (ASR) systems trained
using adults' speech data yield poor recognition performance when evaluated on children's …