Details - MACS Project System

Proposer: Matthew Aylett
Title: Masterclass in cloud speech technology
Goal: Teach the basics for accessing cloud computing resources in speech synthesis and speech recognition
Description: There are many cloud resources now available for speech synthesis and speech recognition. In a simple form they can be used to add speech functionality to web pages, or speech functionality to standalone applications and digital games. Many of the systems can be either run on a request by request basis or streamed (to process before completion). Speech recognition can be configures to work slower for better recognition or faster, it can be given pronunciation of expected and unusual words such as proper name. Speech synthesis offers many different voices and often fine control of speech style and intonation. The objective of this project is to produce teaching materials to support the use of these systems and a tutorial to give a hand on experience of using them.
Resources: CereProc Cloud TTS system
Background
Url
Difficulty Level: High
Ethical Approval: None
Number Of Students: 1
Supervisor: Matthew Aylett
Keywords
Degrees