Automatic Speech Recognition (ASR) has historically been a driving force behind many
machine learning (ML) techniques, including the ubiquitously used hidden Markov model …

Does “the motor system” play “a role” in speech perception? If so, where, how, and when?
We conducted a systematic review that addresses these questions using both qualitative …

Speech is a complex process involving a wide range of biosignals, including but not limited
to acoustics. These biosignals-stemming from the articulators, the articulator muscle …

This review summarises the status of silent speech interface (SSI) research. SSIs rely on non-
acoustic biosignals generated by the human body during speech production to enable …

Birds are dominant creatures that produce abundant sounds in urban forest ecosystems,
and birdsongs are a desired soundscape to reduce noise pollution in biophilic cities. The …

Speakers of rhotic dialects of North American English show a range of different tongue
configurations for/r/. These variants produce acoustic profiles that are indistinguishable for …

This paper serves as an initial announcement of the availability of a corpus of articulatory
data called mngu0. This corpus will ultimately consist of a collection of multiple sources of …

Studies have shown that articulatory information helps model speech variability and,
consequently, improves speech recognition performance. But learning speaker-invariant …

To solve the acoustic-to-articulatory inversion problem, this paper proposes a deep
bidirectional long short term memory recurrent neural network and a deep recurrent mixture …

We report on investigations, conducted at the 2006 Johns Hopkins Workshop, into the use of
articulatory features (AFs) for observation and pronunciation models in speech recognition …