Click here to register.

English Speech Files

User: speechsubmission
Date: 10/5/2015 6:22 am
Views: 829
Rating: 0
User Name:grigi

Speaker Characteristics:

Gender: Male
Age Range: Adult
Language: EN
Pronunciation dialect: South African English

Recording Information:

Microphone make: n/a
Microphone type: Laptop Built-in mic
Audio card make: unknown
Audio card type: unknown
Audio Recording Software: VoxForge Speech Submission Application

File Info:

File type: wav
Sampling Rate: 48000
Sample rate format: 16
Number of channels: 1


rb-22 that allows the end user to issue a wider array of commands.
rb-23 In practice this will allow end users to issue commands such as "go to previous paragraph"
rb-24 "go up one paragraph" or even "I want to edit the previous paragraph".
rb-25 Where all these commands might lead to the same result on that powerful PC,
rb-26 the software on a hand-held device might only respond to one specific command.
rb-27 The same would be the case for other tasks such as browsing the Web,
rb-28 searching for documents in the file browser, and starting or closing programs.
rb-29 Therefore, behind your PC, "go online" "start my Web browser" or "visit my home page"
rb-30 might all be valid commands,
rb-31 whereas on your mobile phone you would have to stick to "run browser".


Copyright 2015 Free Software Foundation

These files are free software: you can redistribute them and/or modify
them under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.

These files are distributed in the hope that they will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
GNU General Public License for more details.

You should have received a copy of the GNU General Public License
along with these files. If not, see


--- (Edited on 10/5/2015 6:22 am [GMT-0500] by speechsubmission) ---

Notice: many prompts in "English Speech Files" were adapted from the prompt files contained in the CMU_ARCTIC speech synthesis database, which were in turn derived from out-of-copyright texts from Project Gutenberg, by the FestVox project at the Language Technologies Institute at Carnegie Mellon University.