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Título:
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Application of the Mutual Information Minimization to speaker recognition / identification improvement
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Autor/a:
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Solé-Casals, Jordi; Faundez-Zanuy, Marcos
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Otros autores:
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Universitat de Vic. Escola Politècnica Superior; Universitat de Vic. Grup de Recerca en Tecnologies Digitals |
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Notas:
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In this paper we propose the inversion of nonlinear distortions in
order to improve the recognition rates of a speaker recognizer system. We
study the effect of saturations on the test signals, trying to take into account real
situations where the training material has been recorded in a controlled
situation but the testing signals present some mismatch with the input signal
level (saturations). The experimental results for speaker recognition shows that
a combination of several strategies can improve the recognition rates with
saturated test sentences from 80% to 89.39%, while the results with clean
speech (without saturation) is 87.76% for one microphone, and for speaker
identification can reduce the minimum detection cost function with saturated
test sentences from 6.42% to 4.15%, while the results with clean speech
(without saturation) is 5.74% for one microphone and 7.02% for the other one. |
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Materia(s):
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-Veu, Processament de |
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Derechos:
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(c) Elsevier, 2006
Tots els drets reservats
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Tipo de documento:
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Artículo
info:eu-repo/acceptedVersion |
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Editor:
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Elsevier
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Compartir:
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