Real Time Prosody Modification

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Real Time Prosody Modification

Real time prosody modification involves changing the prosody parameters such as pitch, duration and intensity of speech in real time without affecting the intelligibility and naturalness. In this paper prosody modification is performed using instants of significant excitation (ISE) of the vocal tract system during production of speech. In the conventional prosody modification system the ISE are...

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Prosody, Supporting Real-Time Conversation

We assume that prosody contains information forenoticing segment boundaries, syntactic structures, and turn transitions and enable us to predict these more easily. We examined this assumption using the F0 model. Concretely speaking, as for forenotices, we examined whether or not the F0 model parameters can lead to segment boundaries, dependencies of phrases, and turn transitions. On the other h...

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Real-Time Visual Prosody for Interactive Virtual Agents

Speakers accompany their speech with incessant, subtle head movements. It is important to implement such “visual prosody” in virtual agents, not only to make their behavior more natural, but also because it has been shown to help listeners understand speech. We contribute a visual prosody model for interactive virtual agents that shall be capable of having live, non-scripted interactions with h...

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Altering speech synthesis prosody through real time natural gestural control

This paper investigates the usage of natural gestural controls to alter synthesised speech prosody in real time (for example, recognising a one-handed beat as a cue to emphasise a certain word in a synthesised sentence). A user’s gestures are recognised using a Microsoft Kinect R © sensor, and synthesised speech prosody is altered through a series of hand-crafted rules running through a modifie...

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Adaptive filter based prosody modification approach

This paper proposes an adaptive filter based prosody modification approach. It consists of three components, i.e., a frequency estimator, a pitch tracker and a prosody modifier. Firstly, the frequency estimator is applied to segment the speech signal into sentences and the maximum frequency level of each sentence is estimated. Then, the adaptive filter that is adapted according to the maximum f...

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ژورنال

عنوان ژورنال: Journal of Signal and Information Processing

سال: 2010

ISSN: 2159-4465,2159-4481

DOI: 10.4236/jsip.2010.11006