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Boxplot and distribution of the lipreading scores: Visual only in noise and closed-set format. The mean and the median are represented by a red cross and a red line, respectively. The outliers are represented by smaller red crosses. The boxplot is smoothed with the Matlab <t>Kdensity</t> function that returns a probability density estimate.
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Boxplot and distribution of the lipreading scores: Visual only in noise and closed-set format. The mean and the median are represented by a red cross and a red line, respectively. The outliers are represented by smaller red crosses. The boxplot is smoothed with the Matlab <t>Kdensity</t> function that returns a probability density estimate.
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Boxplot and distribution of the lipreading scores: Visual only in noise and closed-set format. The mean and the median are represented by a red cross and a red line, respectively. The outliers are represented by smaller red crosses. The boxplot is smoothed with the Matlab <t>Kdensity</t> function that returns a probability density estimate.
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Boxplot and distribution of the lipreading scores: Visual only in noise and closed-set format. The mean and the median are represented by a red cross and a red line, respectively. The outliers are represented by smaller red crosses. The boxplot is smoothed with the Matlab <t>Kdensity</t> function that returns a probability density estimate.
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Boxplot and distribution of the lipreading scores: Visual only in noise and closed-set format. The mean and the median are represented by a red cross and a red line, respectively. The outliers are represented by smaller red crosses. The boxplot is smoothed with the Matlab Kdensity function that returns a probability density estimate.

Journal: Heliyon

Article Title: A standardised test to evaluate audio-visual speech intelligibility in French

doi: 10.1016/j.heliyon.2024.e24750

Figure Lengend Snippet: Boxplot and distribution of the lipreading scores: Visual only in noise and closed-set format. The mean and the median are represented by a red cross and a red line, respectively. The outliers are represented by smaller red crosses. The boxplot is smoothed with the Matlab Kdensity function that returns a probability density estimate.

Article Snippet: The boxplot is smoothed with the Matlab Kdensity function that returns a probability density estimate.

Techniques: