Work

On the use of extended context for HMM-based spontaneous conversational speech synthesis

Year: 2011

Type: conference-paper

Abstract: This paper addresses an issue of prosodic variability of spontaneous speech in HMM-based spontaneous conversational speech synthesis.We propose an extended context set including peculiar information to spontaneous speech derived from the annotation data embedded in a large-scale of database of spontaneous Japanese.We show the effectiveness of the newly introduced contexts from the results of objective and subjective evaluation experiments.We also propose stopping criteria for decision-tree clustering to alleviate an over-fitting problem.Experimental results show that the restriction of the size of each leaf node can improve the quality of synthetic speech.

Source: Interspeech (USB)

DOI: 10.21437/interspeech.2011-679

Authors: Tomoki Koriyama, Takashi Nose, Takao Kobayashi

Institution: Tokyo Institute of Technology

Language: English

Topic: Speech Recognition and Synthesis

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Japan Society for the Promotion of Science

Awards: Research on robust spoken language interfaces for diverse voice variability and expressivity, Study on speech synthesis for humanoid spoken dialog system