Phoneme Embedding and its Application to Speech Driven Talking Avatar Synthesis

2016 ◽  
Author(s):  
Xu Li ◽  
Zhiyong Wu ◽  
Helen Meng ◽  
Jia Jia ◽  
Xiaoyan Lou ◽  
...  
Keyword(s):  
Talking Avatar

Talking Avatar

2019 ◽  
Vol 15 (3) ◽  
pp. 1-13
Author(s):  
Feng Ye ◽  
Qian Huang ◽  
Shengyan Wu ◽  
Yong Chen
Keyword(s):  
Web Application ◽  
Cloud Service ◽  
Interface Layer ◽  
Cloud Services ◽  
Third Party ◽  
Web Based ◽  
Data Layer ◽  
Social Sharing ◽  
Face Synthesis ◽  
Talking Avatar

With the booming of the mobile computing and web technology, virtual and intelligent mobile applications become increasingly popular, e.g. web computing and web-based information retrieval. However, under contemporary network conditions and web application environment, it remains a challenging problem to achieve a trade-off between algorithm complexity and hardware performance. In this article, a Talking Avatar architecture is presented based on third-party cloud services. First, the authors propose a cloud service based multi-level layered software framework, which consists of user interface layer, business logic layer and data layer. Second, human face synthesis, speech conversion and social sharing schemes are introduced to integrate third-party cloud services. Third, experimental results on Android platforms indicate that the proposed Talking Avatar can be served efficiently in terms of memory consumption as well as average response time. In addition, stronger functions are provided compared with existing methods.

Expressive Speech Driven Talking Avatar Synthesis with DBLSTM Using Limited Amount of Emotional Bimodal Data

2016 ◽  
Author(s):  
Xu Li ◽  
Zhiyong Wu ◽  
Helen Meng ◽  
Jia Jia ◽  
Xiaoyan Lou ◽  
...  
Keyword(s):  
Expressive Speech ◽  
Talking Avatar

Chatbots

2013 ◽  
pp. 101-114 ◽  
Author(s):  
Michele McNeal ◽  
David Newyear
Keyword(s):  
Artificial Intelligence ◽  
Web Sites ◽  
Public Library ◽  
Information Services ◽  
Code Sharing ◽  
Talking Avatar

The authors discuss their experience with using artificial intelligence and chatbots to enhance their existing web sites and information services in public library settings. The chapter describes their budget driven motivations for embarking on this project and outlines the development and implementation of the bots in their library settings. They show how the bots are positioned to enhance existing services and describe the various reactions to the bots from their patron base, and staff. Different implementations of the bots are highlighted (text only, animated talking avatar, mobile site, desktop help icon) as well as the differing levels of complexity of these different implementations. They address the oft posed question “Does AI spell the end of Reference?” and describe the InfoTabby code sharing project.

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