| Autor: |
Amro El-Jaroudi, Jayadev Billa, Pierre L. Dognin |
| Rok vydání: |
2002 |
| Předmět: |
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| Zdroj: |
ICASSP |
| DOI: |
10.1109/icassp.2000.862095 |
| Popis: |
This paper focuses on the optimization of model parameters for vocal tract length normalization (VTLN). For maximum likelihood (ML) based normalization techniques, the complexity of the VTL-models is a source of variation in system performance. An optimal complexity for the VTL-model that ensures best global word error rate is proposed. The choice of frequency warping factor also depends on the signal processing step of VTLN. A best set of parameters for the VTLN signal processing stage is proposed with extensive results for an optimal frequency range. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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