Linguistically-constrained formant-based i-vectors for automatic speaker recognition
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文摘

We present an approach to automatic speaker verification through linguistically-constrained i-vector systems based on formant frequencies.

An analysis of discriminative and calibration properties is presented for every linguistic unit (phones and diphones).

An analysis of the best-performing units for different speakers reveals remarkable speaker-dependent specificities.

Different approaches for selection and fusion of different linguistic units are also analysed.

The fusion of a cepstral-based and formant-based systems obtain improved performance.

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