在葡萄牙语自动语音识别的研究由巴西总检察长联盟

Rodrigo Fay Verqara, Paulo Henrique dos Santos, Guilherme Fay Verqara, Fábio L. L. Mendonça, C. E. L. Veiga, B. Praciano, Daniel Alves da Silva, Rafael Timóteo de Sousa Júnior
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引用次数: 1

摘要

本文介绍了巴西联邦总检察长应用于视频的葡萄牙语自动语音识别系统的研究。由于是机密视频,因此出于安全考虑,不允许使用大公司的专有软件。因此,构建一个能够在司法环境中执行葡萄牙语自动语音识别的人工智能模型,并使该模型可用于大规模推理,对于维护数据安全至关重要。为此,一个巴西葡萄牙语的数据集被3个已经建立的数据集组合使用。该系统使用TDNN Jasper和QuartzNet架构进行网络训练,获得了有希望的初步结果,在不使用语言模型的情况下,单词错误率(WER)为56%。
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A study of automatic speech recognition in Portuguese by the Brazilian General Attorney of the Union
This article presents a study of an automatic speech recognition system in Portuguese applied to videos by the General Attorney of the Union of Brazil. As they are confidential videos, using proprietary software from large companies is not allowed for security reasons. Thus, constructing an artificial intelligence model capable of performing automatic speech recognition in Portuguese in the judicial context and making this model available for large-scale inference is critical to maintaining data security. For this purpose, a dataset in Brazilian Portuguese was used by a combination of 3 datasets already built. The system used TDNN Jasper and QuartzNet architectures for network training, obtaining promising preliminary results, having a word error rate (WER) of 56% without using a linguistic model.
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