In this paper we show how prosody can be used in spoken dialog systems. First, we describe the phenomena that prosodic analysis is concerned with and give examples why prosody is relevant in the context of spoken dialog processing. Then we examine prosody in the light of pattern classification. We show how prosodic events can be categorized. We detail how those prosodic events manifest themselv...

The unique charm of the study on Shanghai pragmatic prosody lies both in fact that culture is a melting pot where maritime and immigrant cultures meet rub shoulders, prosodic variation rapid development city. following features research are evident: 1) predominance individual prosody. focuses linguistic phenomena, does not systematically investigate as single object. 2) contexts usually divided...

Gaussian mixture models (GMMs) and ergodic hidden Markov models (HMMs) have been successfully applied to model short-term acoustic vectors for speaker recognition systems. Prosodic features are known to carry information concerning the speaker’s identity and they can be combined with the short-term acoustic vectors in order to increase the performance of the speaker recognition system. In this ...

A statistical language model attempts to characterise the patterns present in a natural language as a probability distribution defined over word sequences. Typically, they are trained using word co-occurrence statistics from a large sample of text. In some language modelling applications, such as automatic speech recognition (ASR), the availability of acoustic data provides an additional source...

Most research on the use of prosody in automatic speech processing has focused on F0, energy and duration correlates to prosodic structure. However, there are multiple sources of evidence suggesting that there are spectral correlates as well. This paper presents an analysis of prosodically labeled conversational speech data using acoustic parameters and clustering techniques that are standard i...

This paper presents a Non-Uniform Units selection-based TextTo-Speech synthesizer. Nowadays, systems use prosodic models that do not allow the prosody to vary as far as we should hope, involving a listening comfort degradation. Our system has the advantage to avoid the using of prosodic model. Speech units selection builds its features set exclusively from the linguistic information generated b...

This paper presents a Non-Uniform Units selection-based TextTo-Speech synthesizer. Nowadays, systems use prosodic models that do not allow the prosody to vary as far as we should hope, involving a listening comfort degradation. Our system has the advantage to avoid the using of prosodic model. Speech units selection builds its features set exclusively from the linguistic information generated b...

In this paper, we compare a Probabilistic Landmark-Based speech recognition System (LBS) which uses Knowledge-based Acoustic Parameters (APs) as the front-end with an HMMbased recognition system that uses the Mel-Frequency Cepstral Coefficients as its front end. The advantages of LBS based on APs are (1) the APs are normalized for extra-linguistic information, (2) acoustic analysis at different...

This paper describes the formalism for incorporating emerging linguistic theory in a joint model of the acoustic/prosody/concept relationships. It makes use of binary decision trees to estimate model parameters, the conditional probabilities. In doing so, the model remains general, and can accommodate the results of our evolving understanding of the interaction between factors that determine pr...

Introduction Landau-Kleffner syndrome, aka acquired epileptic aphasia in children, is a type of epilepsy in which the most characteristic symptom is word deafness (aphasia) evolving into auditory agnosia and/or mutism. Since Landau-Kleffner syndrome was discovered by Dr. Landau and Dr. Kleffner in 1957 [1], there have been some case studies examining language outcomes in children suffering from...