Speaker recognition is a task of remarkable relevance, with applications in diversified domains. Recently, mainly due to the facilities in audio-visual content acquisition, the capacity of analyzing growing datasets ...

This paper presents a framework for maximum a posteriori (MAP) speaker adaptation of state duration distributions in hidden Markov models (HMM). Four key issues of MAP estimation, namely analysis and modeling of state ...

The huge amount of multimedia content accumulated daily has demanded the development of effective retrieval approaches. In this context, speaker recognition methods capable of automatically identifying a person through ...

Discriminative training of Gaussian Mixture Models (GMMs) for speech or speaker recognition purposes is usually based on the gradient descent method, in which the iteration step-size, ε, uses to be defined experimentally. ...

The effect of recognizing a person by his voice, through a machine, is known as automatic speaker recognition. This technique sets up a complex problem when considering algorithms that demand a fast processing and the ...

In Brazil, the recognition of speakers for forensic purposes still relies on a subjectivity-based decision-making process through a results analysis of untrustworthy techniques. Owing to the lack of a voice database, speaker ...

We describe the ability of LNCC features (Locally Normalized Cepstral Coefficients) to improve speaker recognition accuracy in highly reverberant environments. We used a realistic test environment, in which we changed the ...

What are the features that impersonators select to elicit a speaker’s identity? We built a voice database of public figures (targets) and imitations produced by professional impersonators. They produced one imitation based ...