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In this work, we are attempting emotion classification in view of synthesizing story speech. We are proposing emotion-specific text features (ESF) for classifying sentences from children stories into five different emotion categories: happy, sad, anger, fear and neutral. ESF is a five dimensional feature vector, where each dimension corresponds to weight of the sentence according to each emotion class...
Speech is the most basic and widely used method for communication. There is a growing need for an expressive speech synthesis especially, when human want to communicate with robots and computers. In this paper, prosody rule-sets are designed to convert neutral to storytelling style speech for Hindi language. In order to generate a storyteller speech from a neutral speech, modification in various prosodic...
This paper provides a design of prosody rule-set for transforming the neutral speech synthesized by Text-to-Speech (TTS) system to storytelling style speech. The objective of this work is to synthesize storyteller speech from the neutral TTS system for a given story text as input. In this work, neutral TTS refers to TTS system developed using Festival framework with neutral speech corpus. For generating...
In this paper, we propose a subword based approach for grapheme-to-phoneme (G2P) conversion in a text-to-speech (TTS) synthesis system. The proposed method resolves the problems present in both the manual and rule-based approaches for G2P conversion. The subword method uses a segmentation procedure which chops a word into its main part (root word) and subword part (suffix). By proper segmentation...
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