Speaker recognition based on short Polish sequences
Signal Processing Algorithms, Architectures, Arrangements, and …, 2010•ieeexplore.ieee.org
This paper presents results of speaker recognition experiments using short Polish
sentences. We developed and analyzed various vector quantization representations in order
to first maximize identification effectiveness and second to compare VQ (vector quantization)
and GMM (Gaussian mixture model) approaches. For the research and experiments we
created and exploited database, containing specially prepared short speech sequences.
sentences. We developed and analyzed various vector quantization representations in order
to first maximize identification effectiveness and second to compare VQ (vector quantization)
and GMM (Gaussian mixture model) approaches. For the research and experiments we
created and exploited database, containing specially prepared short speech sequences.
This paper presents results of speaker recognition experiments using short Polish sentences. We developed and analyzed various vector quantization representations in order to first maximize identification effectiveness and second to compare VQ (vector quantization) and GMM (Gaussian mixture model) approaches. For the research and experiments we created and exploited database, containing specially prepared short speech sequences.
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