The Experts below are selected from a list of 11289 Experts worldwide ranked by ideXlab platform
Thomas Lunner - One of the best experts on this subject based on the ideXlab platform.
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predicting speech in noise recognition from performance on the Trail Making Test results from a large scale internet study
Ear and Hearing, 2016Co-Authors: Rachel J. Ellis, Peter Molander, Jerker Rönnberg, Björn Lyxell, Gerhard Andersson, Thomas LunnerAbstract:Objective: The aim of the study was to investigate the utility of an internet-based version of the Trail Making Test (TMT) to predict performance on a speech-in-noise perception task.Design: Data were taken from a sample of 1509 listeners aged between 18 and 91 years old. Participants completed computerized versions of the TMT and an adaptive speech-in-noise recognition Test. All Testing was conducted via the internet.Results: The results indicate that better performance on both the simple and complex subTests of the TMT are associated with better speech-in-noise recognition scores. Thirty-eight percent of the participants had scores on the speech-in-noise Test that indicated the presence of a hearing loss.Conclusions: The findings suggest that the TMT may be a useful tool in the assessment, and possibly the treatment, of speech-recognition difficulties. The results indicate that the relation between speech-in-noise recognition and TMT performance relates both to the capacity of the TMT to index processing speed and to the more complex cognitive abilities also implicated in TMT performance.
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predicting speech in noise recognition from performance on the Trail Making Test results from a large scale internet study
Ear and Hearing, 2016Co-Authors: Rachel J. Ellis, Peter Molander, Jerker Rönnberg, Björn Lyxell, Gerhard Andersson, Thomas LunnerAbstract:Objective: The aim of the study was to investigate the utility of an internet-based version of the Trail Making Test (TMT) to predict performance on a speech-in-noise perception task.Design: Data w ...
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predicting speech in noise recognition from performance on the Trail Making Test results from a large scale internet study
Aging and Speech Communication:5th Interdisciplinary International Research Conference Indiana University Bloomington USA October 6-9 2013, 2013Co-Authors: Rachel J. Ellis, Peter Molander, Jerker Rönnberg, Björn Lyxell, Gerhard Andersson, Thomas LunnerAbstract:Predicting Speech-in-Noise Recognition from Performance on the Trail Making Test : Results from a Large-Scale Internet Study
Gerhard Andersson - One of the best experts on this subject based on the ideXlab platform.
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predicting speech in noise recognition from performance on the Trail Making Test results from a large scale internet study
Ear and Hearing, 2016Co-Authors: Rachel J. Ellis, Peter Molander, Jerker Rönnberg, Björn Lyxell, Gerhard Andersson, Thomas LunnerAbstract:Objective: The aim of the study was to investigate the utility of an internet-based version of the Trail Making Test (TMT) to predict performance on a speech-in-noise perception task.Design: Data were taken from a sample of 1509 listeners aged between 18 and 91 years old. Participants completed computerized versions of the TMT and an adaptive speech-in-noise recognition Test. All Testing was conducted via the internet.Results: The results indicate that better performance on both the simple and complex subTests of the TMT are associated with better speech-in-noise recognition scores. Thirty-eight percent of the participants had scores on the speech-in-noise Test that indicated the presence of a hearing loss.Conclusions: The findings suggest that the TMT may be a useful tool in the assessment, and possibly the treatment, of speech-recognition difficulties. The results indicate that the relation between speech-in-noise recognition and TMT performance relates both to the capacity of the TMT to index processing speed and to the more complex cognitive abilities also implicated in TMT performance.
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predicting speech in noise recognition from performance on the Trail Making Test results from a large scale internet study
Ear and Hearing, 2016Co-Authors: Rachel J. Ellis, Peter Molander, Jerker Rönnberg, Björn Lyxell, Gerhard Andersson, Thomas LunnerAbstract:Objective: The aim of the study was to investigate the utility of an internet-based version of the Trail Making Test (TMT) to predict performance on a speech-in-noise perception task.Design: Data w ...
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predicting speech in noise recognition from performance on the Trail Making Test results from a large scale internet study
Aging and Speech Communication:5th Interdisciplinary International Research Conference Indiana University Bloomington USA October 6-9 2013, 2013Co-Authors: Rachel J. Ellis, Peter Molander, Jerker Rönnberg, Björn Lyxell, Gerhard Andersson, Thomas LunnerAbstract:Predicting Speech-in-Noise Recognition from Performance on the Trail Making Test : Results from a Large-Scale Internet Study
Rachel J. Ellis - One of the best experts on this subject based on the ideXlab platform.
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predicting speech in noise recognition from performance on the Trail Making Test results from a large scale internet study
Ear and Hearing, 2016Co-Authors: Rachel J. Ellis, Peter Molander, Jerker Rönnberg, Björn Lyxell, Gerhard Andersson, Thomas LunnerAbstract:Objective: The aim of the study was to investigate the utility of an internet-based version of the Trail Making Test (TMT) to predict performance on a speech-in-noise perception task.Design: Data were taken from a sample of 1509 listeners aged between 18 and 91 years old. Participants completed computerized versions of the TMT and an adaptive speech-in-noise recognition Test. All Testing was conducted via the internet.Results: The results indicate that better performance on both the simple and complex subTests of the TMT are associated with better speech-in-noise recognition scores. Thirty-eight percent of the participants had scores on the speech-in-noise Test that indicated the presence of a hearing loss.Conclusions: The findings suggest that the TMT may be a useful tool in the assessment, and possibly the treatment, of speech-recognition difficulties. The results indicate that the relation between speech-in-noise recognition and TMT performance relates both to the capacity of the TMT to index processing speed and to the more complex cognitive abilities also implicated in TMT performance.
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predicting speech in noise recognition from performance on the Trail Making Test results from a large scale internet study
Ear and Hearing, 2016Co-Authors: Rachel J. Ellis, Peter Molander, Jerker Rönnberg, Björn Lyxell, Gerhard Andersson, Thomas LunnerAbstract:Objective: The aim of the study was to investigate the utility of an internet-based version of the Trail Making Test (TMT) to predict performance on a speech-in-noise perception task.Design: Data w ...
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predicting speech in noise recognition from performance on the Trail Making Test results from a large scale internet study
Aging and Speech Communication:5th Interdisciplinary International Research Conference Indiana University Bloomington USA October 6-9 2013, 2013Co-Authors: Rachel J. Ellis, Peter Molander, Jerker Rönnberg, Björn Lyxell, Gerhard Andersson, Thomas LunnerAbstract:Predicting Speech-in-Noise Recognition from Performance on the Trail Making Test : Results from a Large-Scale Internet Study
Jerker Rönnberg - One of the best experts on this subject based on the ideXlab platform.
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predicting speech in noise recognition from performance on the Trail Making Test results from a large scale internet study
Ear and Hearing, 2016Co-Authors: Rachel J. Ellis, Peter Molander, Jerker Rönnberg, Björn Lyxell, Gerhard Andersson, Thomas LunnerAbstract:Objective: The aim of the study was to investigate the utility of an internet-based version of the Trail Making Test (TMT) to predict performance on a speech-in-noise perception task.Design: Data were taken from a sample of 1509 listeners aged between 18 and 91 years old. Participants completed computerized versions of the TMT and an adaptive speech-in-noise recognition Test. All Testing was conducted via the internet.Results: The results indicate that better performance on both the simple and complex subTests of the TMT are associated with better speech-in-noise recognition scores. Thirty-eight percent of the participants had scores on the speech-in-noise Test that indicated the presence of a hearing loss.Conclusions: The findings suggest that the TMT may be a useful tool in the assessment, and possibly the treatment, of speech-recognition difficulties. The results indicate that the relation between speech-in-noise recognition and TMT performance relates both to the capacity of the TMT to index processing speed and to the more complex cognitive abilities also implicated in TMT performance.
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predicting speech in noise recognition from performance on the Trail Making Test results from a large scale internet study
Ear and Hearing, 2016Co-Authors: Rachel J. Ellis, Peter Molander, Jerker Rönnberg, Björn Lyxell, Gerhard Andersson, Thomas LunnerAbstract:Objective: The aim of the study was to investigate the utility of an internet-based version of the Trail Making Test (TMT) to predict performance on a speech-in-noise perception task.Design: Data w ...
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predicting speech in noise recognition from performance on the Trail Making Test results from a large scale internet study
Aging and Speech Communication:5th Interdisciplinary International Research Conference Indiana University Bloomington USA October 6-9 2013, 2013Co-Authors: Rachel J. Ellis, Peter Molander, Jerker Rönnberg, Björn Lyxell, Gerhard Andersson, Thomas LunnerAbstract:Predicting Speech-in-Noise Recognition from Performance on the Trail Making Test : Results from a Large-Scale Internet Study
Björn Lyxell - One of the best experts on this subject based on the ideXlab platform.
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predicting speech in noise recognition from performance on the Trail Making Test results from a large scale internet study
Ear and Hearing, 2016Co-Authors: Rachel J. Ellis, Peter Molander, Jerker Rönnberg, Björn Lyxell, Gerhard Andersson, Thomas LunnerAbstract:Objective: The aim of the study was to investigate the utility of an internet-based version of the Trail Making Test (TMT) to predict performance on a speech-in-noise perception task.Design: Data were taken from a sample of 1509 listeners aged between 18 and 91 years old. Participants completed computerized versions of the TMT and an adaptive speech-in-noise recognition Test. All Testing was conducted via the internet.Results: The results indicate that better performance on both the simple and complex subTests of the TMT are associated with better speech-in-noise recognition scores. Thirty-eight percent of the participants had scores on the speech-in-noise Test that indicated the presence of a hearing loss.Conclusions: The findings suggest that the TMT may be a useful tool in the assessment, and possibly the treatment, of speech-recognition difficulties. The results indicate that the relation between speech-in-noise recognition and TMT performance relates both to the capacity of the TMT to index processing speed and to the more complex cognitive abilities also implicated in TMT performance.
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predicting speech in noise recognition from performance on the Trail Making Test results from a large scale internet study
Ear and Hearing, 2016Co-Authors: Rachel J. Ellis, Peter Molander, Jerker Rönnberg, Björn Lyxell, Gerhard Andersson, Thomas LunnerAbstract:Objective: The aim of the study was to investigate the utility of an internet-based version of the Trail Making Test (TMT) to predict performance on a speech-in-noise perception task.Design: Data w ...
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predicting speech in noise recognition from performance on the Trail Making Test results from a large scale internet study
Aging and Speech Communication:5th Interdisciplinary International Research Conference Indiana University Bloomington USA October 6-9 2013, 2013Co-Authors: Rachel J. Ellis, Peter Molander, Jerker Rönnberg, Björn Lyxell, Gerhard Andersson, Thomas LunnerAbstract:Predicting Speech-in-Noise Recognition from Performance on the Trail Making Test : Results from a Large-Scale Internet Study
