In This paper presents an overview of a stateof-the-art text-independent speaker verification system. The objective of automatic speaker recognition is to extract, characterize and recognize the information about speaker identity. First, an introduction proposes a modular scheme of the training and test phases of a speaker verification system. Then, the most commonly speech parameterization use...

On several occasions we have been asked by police officials whether it is feasible for investigative purposes to automatically identify a speaker using speech from intercepted telephone conversations. Since forensic phoneticians are typically not involved in speaker identification but in speaker verification we tend to reformulate this question in : Is it feasible for investigative purposes to ...

In this paper, we present analysis of the characteristics of scream to identify its discriminating features from neutral speech. The impact of screaming on the performance of text independent speaker recognition systems has also been reported. We have observed that speaker recognition systems are not reliable when tested with scream. Also perceptual listeners test reveal that the speaker conten...

In this paper we introduce a MAP estimation of speaker models in Automatic Speaker Verification with a distance constraint: the D-MAP adaptation. The D-MAP is based on the Kullback-Leibler distances and provides an easy way to automatically compute a speaker-dependent adaptation of the model parameters. We formulate a distance constrained MAP criterion and we show an equivalence between the D-M...

Conversational implicatures are usually described as being licensed by the disobeying or flouting of some principle by the speaker in cooperative dialogue. However, such work has failed to distinguish cases of the speaker flouting such a principle from cases where the speaker is either deceptive or holds a mistaken belief. In this paper, we demonstrate how the three different cases can be disti...

This paper explores the role of voice quality in the communication of emotions, moods and attitudes. Listeners reactions to an utterance synthesised with seven different voice qualities were elicited in terms of pairs of opposing affective attributes. The voice qualities included harsh voice, tense voice, modal voice, breathy voice, whispery voice, creaky voice and lax–creaky voice. These were ...

The task of speaker recognition is defined and some aspects of the human voice are addressed. Furthermore, the relevant effects of the telephone network on speech are treated. The general structure of a speaker verification system is finally outlined.