Validation of an Algorithm for Semi-automated Estimation of Voice Relative Fundamental Frequency.
Validation of an Algorithm for Semi-automated Estimation of Voice Relative Fundamental Frequency.
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DOI：
10.1177/0003489417728088
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发表时间：
2017-10
期刊：
影响因子：
--
通讯作者：
Stepp CE
中科院分区：
文献类型：
--
作者：
Lien YS;Heller Murray ES;Calabrese CR;Michener CM;Van Stan JH;Mehta DD;Hillman RE;Noordzij JP;Stepp CE
相对基频（RFF），已显示出作为声音的声学测量的前景，但其手动估计的主观性和耗时性使得临床翻译不可行。在这里，一个更快，更客观的RFF估计算法进行评估，在一个大的和不同的样本的个人和没有语音障碍。声学录音收集了154个人的声音障碍和36个年龄和性别匹配的控制与典型的声音。这些记录被分成训练集和两个测试集。使用调整到训练集的算法，将测试集中的半自动RFF估计值与来自三名受过培训的技术人员的手动RFF估计值进行比较。半自动RFF估计值与手动RFF估计值高度相关（r = 0.82 - 0.91）。RFF的快速和更客观的估计使得大规模RFF分析成为可能。该算法允许未来的工作，以优化RFF措施，并扩大其潜力的临床语音评估。
Relative fundamental frequency (RFF), has shown promise as an acoustic measure of voice, but the subjective and time-consuming nature of its manual estimation has made clinical translation infeasible. Here, a faster, more objective algorithm for RFF estimation is evaluated in a large and diverse sample of individuals with and without voice disorders. Acoustic recordings were collected from 154 individuals with voice disorders and 36 age- and sex-matched controls with typical voices. These recordings were split into training and two testing sets. Using an algorithm tuned to the training set, semi-automated RFF estimates in the testing sets were compared to manual RFF estimates derived from three trained technicians. The semi-automated RFF estimations were highly correlated (r = 0.82 – 0.91) with the manual RFF estimates. Fast and more objective estimation of RFF makes large-scale RFF analysis feasible. This algorithm allows for future work to optimize RFF measures and expand their potential for clinical voice assessment.
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DOI：
10.1044/1058-0360(2008/08-0017
发表时间：
2009-05-01
影响因子：
2.6
作者：
Kempster, Gail B.;Gerratt, Bruce R.;Hillman, Robert E.
通讯作者：
Hillman, Robert E.
DOI：
10.1044/1058-0360(2010/09-0105
发表时间：
2011-02-01
影响因子：
2.6
作者：
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通讯作者：
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DOI：
10.1080/1401543051006721
发表时间：
2005-01-01
期刊：
Logopedics, phoniatrics, vocology
影响因子：
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作者：
Deliyski, Dimitar D;Shaw, Heather S;Evans, Maegan K
通讯作者：
Evans, Maegan K
影响因子：
2.2
作者：
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通讯作者：
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DOI：
10.1044/1092-4388(2010/09-0234
发表时间：
2010-10-01
影响因子：
2.6
作者：
Stepp, Cara E.;Hillman, Robert E.;Heaton, James T.
通讯作者：
Heaton, James T.