Automatic speech recognition of impaired speech

Carlson, Gloria S.; Bernstein, Jared

doi:10.1097/00004356-198812000-00013

Cited by 9 publications

(5 citation statements)

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“…The human listeners recognized 7% to 61% of the words compared with the speech recognition system's rates of 75% to 99%. Similar results were reported by Carlson and Bernstein (1987).…”

Section: Persons With Physical Disabilitiessupporting

confidence: 92%

Talking Instead of Typing

Cavalier

Ferretti

1996

Focus Autism Other Dev Disabl

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Speech recognition technology has been used extensively to enhance the performance of persons without disabilities. In general, speech input has proven helpful whenever optimal task performance requires the intensive coordination of the user's hands and eyes. For many people with disabilities, alternate access to computers through speech recognition technology holds the promise of lessening their dependence on others and promoting the development of their adaptive abilities. In this article, the importance of alternate access for persons with disabilities and the ways in which speech recognition technology has been used to accomplish this goal are discussed. Illustrative studies of the use of speech recognition by persons with disabilities are reviewed, and implications for the effective application of this technology are described.

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“…The human listeners recognized 7% to 61% of the words compared with the speech recognition system's rates of 75% to 99%. Similar results were reported by Carlson and Bernstein (1987).…”

Section: Persons With Physical Disabilitiessupporting

confidence: 92%

Talking Instead of Typing

Cavalier

Ferretti

1996

Focus Autism Other Dev Disabl

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show abstract

“…For individuals suffering from mild and moderate dysarthria, vocabulary sizes greater than 30 utterances can be a challenge to the dysarthric speakers as repetition of words during multiple and long sessions of recording lead to fatigue and low recording quality. Because of this, Carlson and Bernstein (1987) state that it may be easier to achieve higher recognition accuracy rates using smaller vocabulary.…”

Section: Size Of Vocabularymentioning

confidence: 99%

Exploring the influence of general and specific factors on the recognition accuracy of an ASR system for dysarthric speaker

Mustafa

Rosdi

Salim

et al. 2015

Expert Systems with Applications

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“…In earlier studies, it has been shown that ASR systems may outperform human listeners in recognizing impaired speech [2][3][4]. However, since intelligibility is typically a relative rather than an absolute measure [5], these results do not necessarily generalize.…”

Section: Introductionmentioning

confidence: 99%

Comparing Humans and Automatic Speech Recognition Systems in Recognizing Dysarthric Speech

Mengistu

Rudzicz

2011

Advances in Artificial Intelligence

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Abstract. Speech is a complex process that requires control and coordination of articulation, breathing, voicing, and prosody. Dysarthria is a manifestation of an inability to control and coordinate one or more of these aspects, which results in poorly articulated and hardly intelligible speech. Hence individuals with dysarthria are rarely understood by human listeners. In this paper, we compare and evaluate how well dysarthric speech can be recognized by an automatic speech recognition system (ASR) and naïve adult human listeners. The results show that despite the encouraging performance of ASR systems, and contrary to the claims in other studies, on average human listeners perform better in recognizing single-word dysarthric speech. In particular, the mean word recognition accuracy of speaker-adapted monophone ASR systems on stimuli produced by six dysarthric speakers is 68.39% while the mean percentage correct response of 14 naïve human listeners on the same speech is 79.78% as evaluated using single-word multiple-choice intelligibility test.

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Automatic speech recognition of impaired speech

Cited by 9 publications

References 0 publications

Talking Instead of Typing

Talking Instead of Typing

Exploring the influence of general and specific factors on the recognition accuracy of an ASR system for dysarthric speaker

Comparing Humans and Automatic Speech Recognition Systems in Recognizing Dysarthric Speech

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