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English Speech Files

Flat
1337ad-20170321-tkg
User: speechsubmission
Date: 3/24/2017 7:08 am
Views: 896
Rating: 0
User Name:1337ad

Speaker Characteristics:

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

Recording Information:

Microphone make: n/a
Microphone type: Tisch-Mikro (USB)
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-0726 Call me or write when you get those details.
en-0727 he has been on this trajectory for several years,
en-0728 sounding the alarm on numerous occasions, both privately and in the press,
en-0729 This decision was reached in cooperation with the Board
en-0730 and is effective immediately.
en-0731 Give me a shout and tell me what you think.
en-0732 I'm gonna go and quickly check on my puppy this afternoon.
en-0733 Researchers at Harvard Medical School recently found that in mice
en-0734 As for Ron, I really have egg on my face. I totally forgot about Ron.
en-0735 Credit worthiness will be address in the technical conference

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/.


1337ad-20170321-tkg.tgz

--- (Edited on 3/24/2017 7:08 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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