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This paper describes the continued development of a system to provide early assessment of speech development issues in children and better triaging to professional services. Whilst corpora of children’s speech are increasingly available, recognition of disordered children’s speech is still a data-scarce task. Transfer learning methods have been shown to be effective at leveraging out-of-domain ...

Clinical observation suggested that speech disorder seemed to be associated with sleep apnea. We recorded a standard speech sample from 39 matched subjects in three groups, 13 sleep apnea individuals, 13 subjects with COPD, and 13 subjects without sleep apnea or COPD. Three speech pathologists in a single blind listening task of the recorded samples judged whether or not speech disorder was pre...

The automatic detection of vocal cord/vocal tract diseases from the medically disordered speech is a challenging task in the medical field. An automatic diagnostic system for the medically disordered voice is proposed in this paper. The developed system takes speech recorded by a patient having a disorder in his/her voice, as an input. The system gives the type of voice disorder as an output. T...

The prevalence of disordered communication is particularly high in individuals diagnosed with idiopathic Parkinson disease (IPD). At least 89% of these individuals have disordered speech and voice but only 3-4% received speech treatment. LSVT (Lee Silverman Voice Treatment) is a speech and voice treatment for individuals with Parkinson disease. It is the only speech treatment with Level one sho...

Speech-driven assistive technology can be an attractive alternative to conventional interfaces for people with physical disabilities. However, often the lack of motor-control of the speech articulators results in disordered speech, as condition known as dysarthria. Dysarthric speakers can generally not obtain satisfactory performances with off-the-shelf automatic speech recognition (ASR) produc...

Parallel isolated word corpora were collected from healthy speakers and individuals with speech impairment due to stroke or cerebral palsy. Surface electromyographic (sEMG) signals were collected for both vocalized and mouthed speech production modes. Pioneering work on disordered speech recognition using the acoustic signal, the sEMG signals, and their fusion are reported. Results indicate tha...

This paper is mainly aimed at developing an advanced communication aid for the people having severe speech impairment. This method gives rise to a new form of communication aid which recognizes the disordered speech of the user and builds messages which are converted into synthetic speech. While employing this method, the recognition perplexity can be increased. The selected message building te...