Speaker Diarization using Artificial Intelligence Techniques

The goal in Speaker Diarization (SD) is to answer the question "Who spoke when?" for a given audio where two or more people speak taking turns. This task becomes paramount for Automatic Speech Recognition (ASR) applications as it provides structured data that can improve recognition accura...

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Detalhes bibliográficos
Autor principal: Rosário, João Miguel Pinto Carrilho do (author)
Formato: masterThesis
Idioma:eng
Publicado em: 2020
Assuntos:
Speaker Diarization
Machine Learning
Deep Learning
d-vector
Spectral Clustering
LSTM
Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
Texto completo:http://hdl.handle.net/10362/104277
País:Portugal
Oai:oai:run.unl.pt:10362/104277

Texto Completo

http://hdl.handle.net/10362/104277

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