Two Schemes for Automatic Speaker Recognition over VOIP
| Autor: | Qu Dan, Wang Bingxi, Tang Hui, Yan Honggang |
|---|---|
| Rok vydání: | 2008 |
| Předmět: |
Network packet
Computer science business.industry Speech recognition Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Vector quantization Probabilistic logic Pattern recognition Data_CODINGANDINFORMATIONTHEORY Mixture model Speaker recognition Histogram Codec Artificial intelligence business |
| Zdroj: | PACIIA (2) |
| DOI: | 10.1109/paciia.2008.224 |
| Popis: | The paper presents the two schemes of Automatic speaker recognition (ASR) over VOIP including speaker recognition based on decoded codec parameters and compressed packet stream over VoIP. For ASR based on decoded codec parameters, the optimal feature selection using VoIP codec parameters is introduced. For ASR based on compressed bit stream, the paper presents two approaches for compressed speaker recognition respectively based on the Probabilistic Stochastic Histogram algorithm including Vector Quantization Probabilistic Stochastic Histogram (VQPSH) algorithm and Gaussian Mixture Model Probabilistic Stochastic Histogram (GMMPSH). The Two schemes for speaker recognition is test using G.729, G.723.1 6.3K, G723.15.3K compressed bit stream. The experimental results show whether two schemes are very effective for automatic speaker recognition over VOIP. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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