This paper reviews the research approaches used in computer-assisted pronunciation
training (CAPT), addresses the existing challenges, and discusses emerging trends and …

Recent works on the vulnerability of automatic speaker verification (ASV) systems confirm
that malicious spoofing attacks using synthetic speech can provoke significant increase in …

This paper describes a recently introduced vector-valued representation of fundamental
frequency variation–the FFV spectrum–which has a number of desirable properties. In …

Systems and methods are provided for analyzing voice based audio inputs. A voice-based
audio input associated with a user (eg, wherein the voice-based audio input is a prompt or a …

Abstract Models for the prediction of prosodic events, such as pitch accents and phrasal
boundaries, often rely on machine learning models that combine a set of input features …

Whispered speech is a natural mode of speech in which voicing is absent–its acoustics differ
significantly from normally spoken speech or so-called neutral speech, such that it is …

Automatic pronunciation assessment (APA) manages to quantify second language (L2)
learners' pronunciation proficiency in a target language by providing fine-grained feedback …

This paper provides an overview of automatic speaker recognition technologies, with an
emphasis on front-end features for robust speaker recognition. We categorize the frontend …

Faced with the difficulties of finding an operationalized definition of backchannels, we have
previously proposed an intermediate, auxiliary unit–the very short utterance (VSU)–which is …

In this work we explore data-augmentation techniques for the task of improving the
performance of a supervised recurrent-neural-network classifier tasked with predicting …