Topic Identification in Voice Recordings-Reference-Cited by-同舟云学术

Topic Identification in Voice Recordings

Published:2023-12-01 Issue:2 Volume:20 Page:43-48
ISSN:2668-4217
Container-title:Acta Marisiensis. Seria Technologica
language:en
Short-container-title:

Author:

Simo Zsuzsa¹

Affiliation:

1. Doctoral School, George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Targu Mures Romania

Abstract

Abstract The paper shows the understanding of a topic recognition problem like the speech recognition system based on Natural Language Processing (NLP) and the steps of its implementation of a rules-based approach, which is able to classify given audio materials based on predefined topics in real-time. During implementation, a statistical vocabulary was developed. Google Speech API (Application Programming Interface) was employed for subtitling audio materials, and the most ideal time frame for reception was identified through several experiments. The motivation of this work is based on the deficiency of similar simple systems for Hungarian topic recognition, even though numerous international languages already utilize multiple Automatic Sound Recognition (ASR) systems.

Publisher

Walter de Gruyter GmbH

Subject

General Medicine

Link

https://www.sciendo.com/pdf/10.2478/amset-2023-0017

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