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The use of Gaussian Mixture Models (GMM) are most common in speaker identification due to it can be performed in a completely text independent situation. However, it sounds efficient to speaker identification application, but it results long time processing in practice. In this paper, we propose a decision function by using vector quantization (VQ) techniques to decrease the training model for GMM...
Due to environmental mismatch, speech recognition systems often exhibit drastic performance degradation in noisy conditions. This paper presents a model based technique termed adaptive parallel model combination (APMC) which compensates the initial acoustic models to reduce the discrepancy. APMC used the well-known PMC technique to composite a set of corrupted speech models, while fine tuning the...
Speaker Recognition (SP) is a topic of great significance in areas of intelligent and security. In Biometric SP using automated method of verifying or recognizing the identity of the person. SP can divide into two: speaker identification and verification. In this paper we focus on speaker verification in Malay language. Speaker Verification (SV) is the task of automatically accepting or rejecting...
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