Original title: Topic Identification from Spoken TED-Talks
Translated title: Topic Identification from Spoken TED-Talks
Authors: Vašš, Adam ; Ondel, Lucas Antoine Francois (referee) ; Kesiraju, Santosh (advisor)
Document type: Bachelor's theses
Year: 2019
Language: eng
Publisher: Vysoké učení technické v Brně. Fakulta informačních technologií
Abstract: [eng] [cze]
Táto práca sa zaoberá problémom spracovania prirodzeného jazyka a následnej klasifikácie. Použité systémy boli modelované na TED-LIUM korpuse. Systém automatického spracovania jazyka bol modelovaný s použitím sady nástrojov Kaldi. Vo výsledku bol dosiahnutý WER s hodnotou 16.6\%. Problém klasifikácie textu bol adresovaný s pomocou metód na lineárnu klasifikáciu, konkrétne Multinomial Naive Bayes a Linear Support Vector Machines, kde druhá technika dosiahla vyššiu presnosť klasifikácie. This thesis deals with the problems of language recognition and topic classification, using TED-LIUM corpus to train both the ASR and classification models. The ASR system is built using the Kaldi toolkit, achieving the WER of 16.6\%. The classification problem is addressed using linear classification methods, specifically Multinomial Naive Bayes and Linear Support Vector Machines, the latter method achieving higher topic classification accuracy.
Keywords: akustický model; ASR; identifikácia tém; Kaldi; klasifikácia; lineárna klasifikácia; lingvistický model; strojové učenie; support vector machines; talks; TED; TED-LIUM; transkripcia; acoustic modeling; ASR; classification; Kaldi; language modeling; linear classification; machine learning; support vector machines; talks; TED; TED-LIUM; topic identification; transcription

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/180586

Permalink: http://www.nusl.cz/ntk/nusl-403784


The record appears in these collections:
Universities and colleges > Public universities > Brno University of Technology
Academic theses (ETDs) > Bachelor's theses