Score Function for Voice Activity Detection
| Autor: | Ramon Reig-Bolaño, Jordi Solé-Casals, Pere Marti-Puig, Vladimir Zaiats |
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| Přispěvatelé: | Universitat de Vic. Escola Politècnica Superior, Universitat de Vic. Grup de Recerca en Tecnologies Digitals, International Conference on Non-Linear Speech Processing NOLISP (2009 : Vic) |
| Rok vydání: | 2010 |
| Předmět: | |
| Zdroj: | RIUVic. Repositorio Institucional de la Universidad de Vic instname Advances in Nonlinear Speech Processing ISBN: 9783642115080 NOLISP |
| Popis: | In this paper we explore the use of non-linear transformations in order to improve the performance of an entropy based voice activity detector (VAD). The idea of using a non-linear transformation comes from some previous work done in speech linear prediction (LPC) field based in source separation techniques, where the score function was added into the classical equations in order to take into account the real distribution of the signal. We explore the possibility of estimating the entropy of frames after calculating its score function, instead of using original frames. We observe that jf signal is clean, estimated entropy is essentially the same; but if signal is noisy transformed frames (with score function) are able to give different entropy if the frame is voiced against unvoiced ones. Experimental results show that this fact permits to detect voice activity under high noise, where simple entropy method fails. |
| Databáze: | OpenAIRE |
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