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 …

We present a structured overview of adaptation algorithms for neural network-based speech
recognition, considering both hybrid hidden Markov model/neural network systems and end …

Dysarthria is a disorder that affects an individual's speech intelligibility due to the paralysis of
muscles and organs involved in the articulation process. As the condition is often associated …

Dysarthria is a motor speech disability caused by weak muscles and organs involved in the
articulation process, thereby affecting the speech intelligibility of individuals. Because this …

Individuals with complex communication needs often use alternative access technologies to
control their augmentative and alternative communication (AAC) devices, their computers …

This study evaluated the accuracy of personalized automatic speech recognition (ASR) for
recognizing disordered speech from a large cohort of individuals with a wide range of …

Disordered speech recognition is a highly challenging task. The underlying neuro-motor
conditions of people with speech disorders, often compounded with co-occurring physical …

This paper presents an improved transfer learning framework applied to robust personalised
speech recognition models for speakers with dysarthria. As the baseline of transfer learning …

Despite the rapid progress of automatic speech recognition (ASR) technologies targeting
normal speech in recent decades, accurate recognition of dysarthric and elderly speech …

Automatic Speech Recognition (ASR) technologies can be life-changing for individuals who
suffer from dysarthria, a speech impairment that affects articulatory muscles and results in …