Analysis of Automatic Speaker Verification Performance over Different Narrowband and Wideband Telephone Channels
نویسندگان
چکیده
Current speaker recognition applications involve the authentication of users by their voices for access to restricted information and privileges. The speech signal is often transmitted to the recognizer through communication channels presenting different transmission characteristics. The aim of this paper is to study the effects of speech bandwidth and coding schemes on speaker verification. We compared the performance of a Gaussian Mixture Model-Universal Background Model (GMM-UBM) classifier in two different conditions: in one condition, the system was trained and tested with speech processed using wideband codecs, and in the other with speech processed using narrowband codecs. Our results show that the verification task improves significantly when the system is trained and tested with speech transmitted through wideband channels.
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