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English Speech Files

Flat
Rhys-20170620-vrd
User: speechsubmission
Date: 6/23/2017 7:14 am
Views: 248
Rating: 0
User Name:Rhys

Speaker Characteristics:

Gender: Male
Age Range: Adult
Language: EN
Pronunciation dialect: British English

Recording Information:

Microphone make: n/a
Microphone type: USB Desktop Boom mic
Audio card make: unknown
Audio card type: unknown
Audio Recording Software: standalone VoxForge speech submission application
O/S:

File Info:

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

Prompts:


en-0712 only not more than twenty grains of sulfur or seven pounds of water vapor.
en-0713 Keep these names, and I'll keep you posted on who to schedule with him.
en-0714 I got your email with the attachment.
en-0715 Let's work together today to get this done
en-0716 You can pull up a list of providers
en-0717 by entering in you home address and zip code at the following link.
en-0718 Rather than carry the bricks down by hand,
en-0719 decided to lower them in a barrel by using a pulley,
en-0720 Please provide confirmation number and positive I.D.
en-0721 at the gate one hour prior to scheduled departure

License:


Copyright 2017 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
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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 http://www.gnu.org/licenses/.


Rhys-20170620-vrd.tgz

--- (Edited on 6/23/2017 7:14 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.

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