Web-based application for generation of video-interview summaries using neural networks

被引：0

作者：

Lozano, Francisco Javier ^{[1
]}

Alcazar, Daniel ^{[1
]}

Diaz, Alberto ^{[1
,2
]}

机构：

[1] Univ Complutense Madrid, Fac Informat, Dept Ingn Software & Inteligencia Artificial, Madrid, Spain

[2] Univ Complutense Madrid, Inst Tecnol Conocimiento, Madrid, Spain

来源：

2022 17TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI) | 2022年

关键词：

video interview; summarization; life history; neural networks;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this work is shown a preliminary development of a web application that generate summaries from video interviews. For the transcription, in addition to the SpeechRecognition library to separate by silences, the Google SpeechToText API is used to separate by speakers. For summarization we use BERT2BERT, a BETO model pre-trained on news summaries from the Hugging Face Transformers library.

引用

页数：3