Optimizing text-independent speaker recognition using an LSTM neural network

Optimizing text-independent speaker recognition using an LSTM neural network

In this paper a novel speaker recognition system is introduced. Automated speaker recognition has become increasingly popular to aid in crime investigations and authorization processes with the advances in computer science. Here, a recurrent neural network approach is used to learn to identify ten s...

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Bibliographic Details
Main Author: Larsson, Joel
Format: Others
Language:English
Published: Mälardalens högskola, Akademin för innovation, design och teknik 2014
Subjects:
speaker recognition
speaker identification
text-independent
long short-term memory
lstm
mel frequency cepstral coefficients
mfcc
recurrent neural network
speech processing
spectral analysis
rnnlib
htktoolkit
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-26312

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-26312

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