Prosody Modeling in Concept-to-Speech Generation
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چکیده
Prosody Modeling in Concept-to-Speech Generation
منابع مشابه
Coupling dialogue and prosody computation in spoken dialogue generation
We introduce a concept-to-speech (CTS) system that generates prosodic structure compositionally, in a spoken dialogue agent architecture . Representations from the semantic interpretation, task modeling, and dialogue strategy selection components drive the computation of accentuation, pitch accent type selection, and choice of melodic contour, respectively. These principled couplings of dialogu...
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We explore three issues for the development of Concept-to-Speech (CTS) systems. We identify information available in a language generation system that has the potential to impact prosody; investigate the role played by different corpora in CTS prosody modeling; and explore different methodologies for learning how linguistic features impact prosody. Our major focus is on the comparison of two ma...
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We aim to design and develop a Concept-to-Speech (CTS) generation system, a speech synthesis system producing speech from semantic representations, by integrating language generation with speech synthesis. We focus on five issues (1) how to employ newly available accurate discourse, semantic, and syntactic information produced by a natural language generation system to improve the quality of sy...
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A Concept-to-Speech (CTS) Generator is a system which integrates language generation with speech synthesis and produces speech from semantic representations. This is in contrast to Text-to-Speech (TTS) systems where speech is produced from text. CTS systems have an advantage over TTS because of the availability of semantic and pragmatic information, which are considered crucial for prosody gene...
متن کاملWhat concept-to-speech can gain for prosody
This article proposes a concept-to-speech system with automated prosody learning based on reinforcement learning. The concept-to-speech system, named Demosthenes, is an extension of the text-to-speech system DreSS. Demosthenes is responsible for template-based text generation and symbolic prosody prediction, while DreSS takes care of acoustic prosody and speech synthesis. The prosody predictor ...
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