This paper presents issues related to modeling and optimization of the feature generator for
the speaker recognition system (ASR–Automatic Speakers Recognition). The …

This article deals with a new approach to the text-independent speaker verification task. It is
namely proposed to combine spectral and the so-called high-level features (prosodic …

Building a voice model means to capture the characteristics of a speaker's voice in a data
structure. This data structure is then used by a computer for further processing, such as …

Score-based fusion of multiple independent models for the purpose of identifying speakers
is widely used as it reduces the identification error rate significantly. In this work, a speaker …

The speaker recognition task is that of deciding whether or not a new test utterance belongs
to a given target speaker, for whom there is only a limited amount of training data available …

Questions of speaker's recognition by voice are investigated in this dissertation. Speaker
recognition systems, their evolution, problems of recognition, systems of features, questions …

This paper presents a study of speaker recognition accuracy depending on the choice of
features, window width and model complexity. The standard features were considered, such …

For communication, speech is one of the natural forms. A person's voice contains various
parameters that convey information such as emotions, gender, attitude, health, and identity …

Speaker recognition is the task of establishing identity of an individual based on his/her
voice. It has a significant potential as a convenient biometric method for telephony …