Literature DB >> 22875259

A voice-input voice-output communication aid for people with severe speech impairment.

Mark S Hawley1, Stuart P Cunningham, Phil D Green, Pam Enderby, Rebecca Palmer, Siddharth Sehgal, Peter O'Neill.   

Abstract

A new form of augmentative and alternative communication (AAC) device for people with severe speech impairment-the voice-input voice-output communication aid (VIVOCA)-is described. The VIVOCA recognizes the disordered speech of the user and builds messages, which are converted into synthetic speech. System development was carried out employing user-centered design and development methods, which identified and refined key requirements for the device. A novel methodology for building small vocabulary, speaker-dependent automatic speech recognizers with reduced amounts of training data, was applied. Experiments showed that this method is successful in generating good recognition performance (mean accuracy 96%) on highly disordered speech, even when recognition perplexity is increased. The selected message-building technique traded off various factors including speed of message construction and range of available message outputs. The VIVOCA was evaluated in a field trial by individuals with moderate to severe dysarthria and confirmed that they can make use of the device to produce intelligible speech output from disordered speech input. The trial highlighted some issues which limit the performance and usability of the device when applied in real usage situations, with mean recognition accuracy of 67% in these circumstances. These limitations will be addressed in future work.

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Year:  2012        PMID: 22875259     DOI: 10.1109/TNSRE.2012.2209678

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  4 in total

Review 1.  Applications of Machine Learning in Real-Life Digital Health Interventions: Review of the Literature.

Authors:  Andreas K Triantafyllidis; Athanasios Tsanas
Journal:  J Med Internet Res       Date:  2019-04-05       Impact factor: 5.428

2.  An 11-Item Measure of User- and Human-Centered Design for Personal Health Tools (UCD-11): Development and Validation.

Authors:  Holly O Witteman; Gratianne Vaisson; Thierry Provencher; Selma Chipenda Dansokho; Heather Colquhoun; Michele Dugas; Angela Fagerlin; Anik Mc Giguere; Lynne Haslett; Aubri Hoffman; Noah M Ivers; France Légaré; Marie-Eve Trottier; Dawn Stacey; Robert J Volk; Jean-Sébastien Renaud
Journal:  J Med Internet Res       Date:  2021-03-16       Impact factor: 5.428

3.  Estimation of phoneme-specific HMM topologies for the automatic recognition of dysarthric speech.

Authors:  Santiago-Omar Caballero-Morales
Journal:  Comput Math Methods Med       Date:  2013-10-08       Impact factor: 2.238

Review 4.  Applications of Artificial Intelligence and Big Data Analytics in m-Health: A Healthcare System Perspective.

Authors:  Z Faizal Khan; Sultan Refa Alotaibi
Journal:  J Healthc Eng       Date:  2020-08-30       Impact factor: 2.682

  4 in total

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