Titlebook: Speaker Classification II; Selected Papers Christian Müller Book 2007 Springer-Verlag Berlin Heidelberg 2007 acoustic correlates.acoustiic

Vital-Signs

Effects of the Phonological Contents on Perceptual Speaker Identification,re conducted in order to find out the effective sounds and to investigate the effects of the syllable structures on familiar speaker identification. The results showed that the nasal sounds were effective for identifying the speakers both in onset and coda positions, and coronal sounds were more eff

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CIS

,Language–Independent Speaker Classification over a Far–Field Microphone, two light-weight components for classification: a spectral matching component based on a global representation of the entire utterance, and a temporal alignment component based on more conventional frame-level evidence. The paradigm behind the spectral matching component is related to latent semant

Outshine

A Linear-Scaling Approach to Speaker Variability in Poly-segmental Formant Ensembles,he similarity commonly observed amongst formant-frequency patterns resulting from different speakers’ productions of the same utterance, and (ii) by the fact that there are linear-scaling properties associated with similarity. In methodological terms, formant patterns are obtained for a set of segme

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SHRIK

Bayes-Optimal Estimation of GMM Parameters for Speaker Recognition,the Expectation Maximization (EM) algorithm can estimate the optimal model parameters such as weight, mean and variance of each Gaussian model for each speaker. However, this is not entirely true since there are practical limitations, such as limited size of the training database and uncertainties i

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動(dòng)機(jī)

Popcorn

Detection of Speaker Characteristics Using Voice Imitation,h aspects of the human voice need to be altered to successfully mislead the listener. This suggests that voice and speech imitation can be exploited as a methodological tool to find out which features a voice impersonator picks out in the target voice and which features in the human voice are not ch

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