Background Machine learning (ML) provides novel opportunities for human behavior
research and clinical translation, yet its application can have noted pitfalls (Bone et al …

With the advent of 'heavy Artificial Intelligence'–big data, deep learning, and ubiquitous use
of the internet, ethical considerations are widely dealt with in public discussions and …

Suprasegmental features have received growing attention in the field of oral assessment. In
this article we describe a set of computer algorithms that automatically scores the oral …

Shadowing has become a well-known method to improve learners' overall proficiency. Our
previous studies realized automatic scoring of shadowing speech using HMM phoneme …

Atypical speech prosody is a hallmark feature of autism spectrum disorder (ASD) that
presents across the lifespan, but is difficult to reliably characterize qualitatively. Given the …

The detection of perceived prominence in speech has attracted approaches ranging from
the design of knowledge-based linguistic and acoustic features to the automatic feature …

In a globalized world, the need to speak foreign languages, particularly English, is
imperative. One challenge for learning foreign languages at the scale of millions is that …

Prosody is the supra-segmental aspect of speech that helps to convey the structure and
intended meaning of lexical content unambiguously. The automatic detection of prosodic …

Several technologies, such as electromagnetic midsagittal articulography (EMA) or real-time
magnetic resonance (RTMRI), enable studying the static and dynamic aspects of speech …

We investigate how to assess the prosody quality of an ESL learner's spoken sentence
against native speaker's natural recording or TTS synthesized voice. A spoken English …