Emotional Speech Recognition of Holocaust Survivors with Deep Neural Network Models for Russian Language

被引：0
|
作者：
Bukreeva, Liudmila [1 ]
Guseva, Daria [1 ]
Dolgushin, Mikhail [1 ]
Evdokimova, Vera [1 ]
Obotnina, Vasilisa [1 ]
机构：
[1] St Petersburg State Univ, Univ Skaya Emb 7-9, St Petersburg 199034, Russia
来源：
SPEECH AND COMPUTER, SPECOM 2023, PT I | 2023年 / 14338卷
关键词：
Question Answering; Corpora; Visual History Archives;
D O I：
10.1007/978-3-031-48309-7_6
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
Recognition of highly emotional speech remains a challenging case of automatic speech recognition task. The aim of this article is to carry out experiments on highly emotional speech recognition by investigating oral history archives provided by the Yad Vashem foundation. The material consists of elderly peoples' emotional speech full of accents and common language. We analyze and preprocess 26 h of publicly available video interviews with Holocaust survivors. Our objective was to develop a system able to perform emotional speech recognition based on deep neural network models. We present and evaluate the obtained results that contribute to the research field of oral history archives.
引用
收藏
页码：68 / 76
页数：9
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