English Speech Files

Nested
Darrr-20170412-ong
User: speechsubmission
Date: 4/24/2017 7:07 am
Views: 2694
Rating: 0
User Name:Darrr

Speaker Characteristics:

Gender: Female
Age Range: Adult
Language: EN
Pronunciation dialect: Other

Recording Information:

Microphone make: n/a
Microphone type: Выберите
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-0914 clear, practical approaches for you
en-0915 to help your patients achieve and maintain proper control
en-0916 Here, the living room's white walls shimmer against the mahogany floors.
en-0917 Black leather trims the edge of snowy carpets.
en-0918 This information was overlooked at the time and since has been evaluated.
en-0919 Please make the necessary corrections.
en-0920 Hi Phillip. We appreciate your prompt attention
en-0921 and completing the Team Selection information.
en-0922 Likely, they look at me like the friendly and tolerable neighborhood nerd
en-0923 who is there to take care of the troops.

License:


Copyright 2017 Ассоциация свободного ПО

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/.


Darrr-20170412-ong.tgz

--- (Edited on 4/24/2017 7:07 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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