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English Speech Files

Flat
anonymous-20170610-zzo
User: speechsubmission
Date: 6/12/2017 7:21 am
Views: 59
Rating: 0
User Name:anonymous

Speaker Characteristics:

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

Recording Information:

Microphone make: n/a
Microphone type: USB Headset 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-0366 Detroit Edison provided that a traditional public utility
en-0367 may sell power to its affiliated power marketer
en-0368 it is appropriate that we discontinue the dollar for dollar match
en-0369 for cash donations recognizing employees' volunteer hours?
en-0370 That is, you are shortening or lengthening your investment horizon
en-0371 based on one's expectation of rates
en-0372 The next day they went back to the store,
en-0373 bought even more outrageous outfits - these were so loud!
en-0374 If you know someone who deserves to be honored
en-0375 for their practices of Respect, Integrity, Communication and Excellence,

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/.


anonymous-20170610-zzo.tgz

--- (Edited on 6/12/2017 7:21 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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