Counting competing speakers in a timeframe - human versus computer
Counting competing speakers in a timeframe - human versus computer
复制标题
计算某个时间范围内的竞争发言者 - 人类与计算机
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
C. Burileanu
中科院分区：
文献类型：
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作者：
Valentin Andrei;H. Cucu;Andi Buzo;C. Burileanu
我们提出了一个自动化的解决方案，用于计算在一个时间范围内的同时活跃的扬声器的数量。该方法的研究与感知实验的帮助下实现的28名志愿者，被要求检测有多少扬声器同时在几个录音与可变长度。在这项研究中，我们专注于聆听时间和录音中熟悉声音的使用如何影响正确的检测率。关于自动化的方法，我们讨论了噪声的影响和语音持续时间确定的检测误差的演变。我们观察到，当捕获干净的语音源，该方法是76%的准确率，即使是10个同时发言，考虑到语音长度超过3.5秒。志愿者没有系统地正确检测超过4个竞争的发言者，即使在听了80秒。
We propose an automated solution for computing the number of simultaneous active speakers within a timeframe. The method is studied in parallel with a perception experiment realized with the help of 28 volunteers that were asked to detect how many speakers talk simultaneously in several recordings with variable length. For this study we focus on how listening time and the usage of familiar voices in the recordings impact the correct detection ratio. Regarding the automated method we discuss the influence of noise and the evolution of detection error determined by the speech duration. We observe that when capturing clean speech sources, the method is 76% accurate even for 10 simultaneous speakers, considering speech lengths longer than 3.5 seconds. The volunteers did not systematically detect correctly more than 4 competing speakers even when listening up to 80 seconds.