Abstract We present the Montreal Forced Aligner (MFA), a new opensource system for
speech-text alignment. MFA is an update to the Prosodylab-Aligner, and maintains its key …

Large-scale, weakly-supervised speech recognition models, such as Whisper, have
demonstrated impressive results on speech recognition across domains and languages …

AR-Mentor is a wearable real time Augmented Reality (AR) mentoring system that is
configured to assist in maintenance and repair tasks of complex machinery, such as …

Accurate phone-level segmentation of speech remains an important task for many subfields
of speech research. We investigate techniques for boosting the accuracy of automatic …

We propose a rapid adaptation of FAVE-Align to the Nordic languages, and we offer our own
adaptation to Swedish as a template. This study is motivated by the fact that researchers of …

Objective We implemented automated methods to analyze speech and evaluate the
hypothesis that cognitive and motor factors impair prosody in partially distinct ways in …

The phenotypic complexity of Autism Spectrum Disorder motivates the application of modern
computational methods to large collections of observational data, both for improved clinical …

Forced alignment software is now widely used in contemporary sociolinguistics, and is
quickly becoming a crucial methodological tool as an increasing number of studies begin to …

A deep neural network (DNN) based classifier achieved 27.38% frame error rate (FER) and
15.62% segment error rate (SER) in recognizing five tonal categories in Mandarin Chinese …

Forced alignment provides drastic savings in time when aligning speech recordings and is
particularly useful for the study of Indigenous languages, which are severely under …