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Trial registered on ANZCTR
Registration number
ACTRN12616000192482
Ethics application status
Approved
Date submitted
11/02/2016
Date registered
15/02/2016
Date last updated
24/07/2020
Date data sharing statement initially provided
11/06/2019
Type of registration
Retrospectively registered
Titles & IDs
Public title
Bionic voice reconstruction in dysphonic individuals
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Scientific title
Assessment and validation of bionic voice reconstruction in dysphonic individuals
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Secondary ID [1]
288336
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Nil known
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Universal Trial Number (UTN)
U1111-1178-6085
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Trial acronym
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Linked study record
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Health condition
Health condition(s) or problem(s) studied:
Dysphonia
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Laryngectomee
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Aphonia
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Condition category
Condition code
Physical Medicine / Rehabilitation
297511
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0
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Other physical medicine / rehabilitation
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Neurological
297815
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0
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Other neurological disorders
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Intervention/exposure
Study type
Observational
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Patient registry
False
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Target follow-up duration
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Target follow-up type
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Description of intervention(s) / exposure
Evaluation of novel computer algorithm that may reconstruct words from recorded partial speech or whispers. Subjects will be asked to speak phonetically balanced sentences for 15 minutes and this will be recorded. Then the computer algorithm will be used to reconstruct speech. The accuracy and rate of reconstruction of the regenerated voice will be rated by both researchers and the subjects. Ultimately the algorithm would be able to be used on a smart phone or device. A single visit only is required. Participants will be invited to hear reconstructed speech samples and rate them subjectively once reconstruction is complete. Files can be emailed to participants.
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Intervention code [1]
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Not applicable
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Comparator / control treatment
The participants are only required to provide voice samples. There is no randomisation or control group. Computer based regeneration is completed within a lab without a participant needing to be present.
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Control group
Uncontrolled
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Outcomes
Primary outcome [1]
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Accuracy of reconstructed voice samples compared to actual voiced sentences. Accuracy assessed by percentage correct measure where number of words correct is calculated vs actual spoken sentence.
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Assessment method [1]
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Timepoint [1]
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Single session only
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Secondary outcome [1]
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Rate of reconstructed voice samples compared to normal speech. This will be assessed by asking raters to classify samples as 'real time', 'slower than normal', 'very slow', 'unable to understand'.
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Assessment method [1]
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Timepoint [1]
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Single session only
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Eligibility
Key inclusion criteria
1) Abnormal voice
2) Able to attempt repeated voice tasks and follow instructions
3) Able to understand and give consent for the study and able to complete self-assessment questionnaire
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Minimum age
18
Years
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Maximum age
No limit
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Sex
Both males and females
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Can healthy volunteers participate?
No
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Key exclusion criteria
1) Significant pulmonary disease condition
2) Unable to attempt voice tasks or follow instructions
3) Unable to speak English
4) Inability to give informed consent
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Study design
Purpose
Natural history
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Duration
Cross-sectional
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Selection
Defined population
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Timing
Prospective
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Statistical methods / analysis
Data captured will be de-identified and then analysed through the Engineering Department at Unitec. Reproduced speech will be graded for intelligibility, accuracy of spoken words, volume, quality and speed of reproduction by two blinded researchers. Quantitative statistical analysis will be undertaken on the voice samples and ratings. Statistical analysis will be performed with p values below 0.05 considered significant.
Power Calculation
Based on a 50% difference in expected speech intelligibility between unaltered voices and voice-reconstructed voices, 65 subjects will be able to detect a real difference where power of 80% and significance levels of 0.05 are used. A mix of severity of voice dysfunction would be expected, from mild impairment to aphonia (total loss of voice). This sample size would not allow specific subgroup analysis but will indicate if further subgroup analysis might be useful in future research.
A total of 70 subjects was agreed so that we could aim to broadly recruit 20 subjects each with mild, moderate and severe voice disorders and at least 10 laryngectomee subjects, hence a cohort of 70 subjects.
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Recruitment
Recruitment status
Recruiting
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Date of first participant enrolment
Anticipated
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Actual
1/06/2015
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Date of last participant enrolment
Anticipated
3/05/2021
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Actual
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Date of last data collection
Anticipated
3/05/2021
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Actual
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Sample size
Target
70
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Accrual to date
14
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Final
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Recruitment outside Australia
Country [1]
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New Zealand
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State/province [1]
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Auckland
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Funding & Sponsors
Funding source category [1]
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University
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Name [1]
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Unitec Institute of Technology
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Address [1]
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Unitec Institute of Technology
Private Bag 92025
Victoria St West
Auckland 1142
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Country [1]
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New Zealand
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Primary sponsor type
University
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Name
Unitec Institute of Technology
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Address
Unitec Institute of Technology
Private Bag 92025
Victoria St West
Auckland 1142
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Country
New Zealand
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Secondary sponsor category [1]
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None
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Name [1]
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none
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Address [1]
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none
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Country [1]
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Other collaborator category [1]
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University
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Name [1]
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University of Auckland
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Address [1]
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Private Bag 92019
Auckland 1142
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Country [1]
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New Zealand
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Other collaborator category [2]
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Hospital
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Name [2]
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North Shore Hospital
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Address [2]
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Shakespeare Rd
Takapuna
Auckland 0740
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Country [2]
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New Zealand
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Ethics approval
Ethics application status
Approved
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Ethics committee name [1]
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Northern B Committee
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Ethics committee address [1]
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PO Box 5013 Wellington 6011
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Ethics committee country [1]
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New Zealand
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Date submitted for ethics approval [1]
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18/11/2014
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Approval date [1]
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21/01/2015
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Ethics approval number [1]
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14/NTB/192
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Summary
Brief summary
This translational research proposal aims to develop and evaluate novel algorithms for creating a new rehabilitative method to restore natural sounding speech for those with significant dysphonia and laryngectomy patients, through a real-time speech processing framework. The new method would be non-invasive, non-surgical and capable of turning whisper-like voice into normal speech. Participants in the study will provide voice samples which will be recorded in a sound-proofed room. These samples will be analysed using computing algorithms to enhance and 'fill in' missing parts of speech to reconstruct full words and sentences. The study will evaluate the accuracy of the reconstruction eg. did the computer regenerate the correct words? and the speed at which the reconstruction can be achieved. It will also evaluate the intelligibility of the reconstructed speech by blind ratings from both researchers and subjects.
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Trial website
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Trial related presentations / publications
Accepted for presentation at Combined Otolaryngological Societies Meeting, Chicago, USA (18 May 2016)
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Public notes
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Contacts
Principal investigator
Name
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Dr Jacqueline Allen
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Address
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Auckland Voice and Swallow
PO Box 99743
Newmarket
Auckland 1149
Waitemata District Healthboard work location
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Country
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New Zealand
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Phone
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+6421897444
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Fax
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+6495222224
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Email
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[email protected]
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Contact person for public queries
Name
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Jacqueline Allen
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Address
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Auckland Voice and Swallow
PO Box 99743
Newmarket
Auckland 1149
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Country
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New Zealand
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Phone
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+6421897444
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Fax
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+6495222224
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Email
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[email protected]
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Contact person for scientific queries
Name
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Jacqueline Allen
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Address
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Auckland Voice and Swallow
PO Box 99743
Newmarket
Auckland 1149
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Country
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New Zealand
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Phone
54288
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+6421897444
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Fax
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+6495222224
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Email
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[email protected]
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Data sharing statement
Will individual participant data (IPD) for this trial be available (including data dictionaries)?
No
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No/undecided IPD sharing reason/comment
Trademark and patent applications are pending on the software analysis of the voice samples.
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What supporting documents are/will be available?
No Supporting Document Provided
Results publications and other study-related documents
Documents added manually
No documents have been uploaded by study researchers.
Documents added automatically
No additional documents have been identified.
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