In-between speech: the speaker-specificity of non-speech vocalisations

在犯罪过程中，受害者或证人可能会听到犯罪者的声音而看不到他们的脸，然后被要求从声音识别队列中识别他们。在其他地方，一位分析师将犯罪者的定罪录音与嫌疑人的演讲样本进行了比较。法庭言语科学领域关注的是如何从声音中识别一个人，但有时被比较的两个样本不匹配。在犯罪的情况下，可能没有太多的实际言语-相反，可能只有尖叫声，呻吟声或笑声，称为非言语发声（NSV）。然而，在比较的样本或语音序列中，通常仅存在语音，并且NSV被丢弃。目前尚不清楚的是，是否可以从NSV中准确地识别说话者。本计画将探讨这个问题，询问听众如何准确地辨识不同NSV类型的说话者，以及不同NSV类型中说话者的特定声学特徴如何变化。它还将探讨那些容易被NSV识别的说话者是否也同样容易被他们的语音识别。这将有助于提高我们对NSV如何识别说话者的理解。

During a crime, victims or witnesses may hear a perpetrator's voice without seeing their face andare later asked to identify them from a voice identification line-up. Elsewhere, an analyst compares an incriminating recording of a perpetrator with a sample of a suspect's speech. The field of forensic speech science is concerned with how to identify a person from their voice, but sometimesthe two samples being compared are mismatched. In the situation of a crime, there may not be much actual speech - instead, there may be only screams, groans, or laughter, known as non-speech vocalisations (NSVs). In the compared sample or voice line-up, however, there is typically only speech, and NSVs are discarded. What is currently unknown is whether speakers can accurately be identified from NSVs. This project will investigate this question by asking howaccurately listeners identify speakers from different NSV types, and how speaker-specific acoustic features vary in different NSV types. It will also explore whether speakers who are easily recognised by their NSVs are also equally easily recognised by their speech. This will benefit the field by improving our understanding of how speakers can be identified by NSVs.