English Speech Files

Nested
serak-20170326-zna
User: speechsubmission
Date: 4/5/2017 7:03 am
Views: 3309
Rating: 0
User Name:serak

Speaker Characteristics:

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

Recording Information:

Microphone make: n/a
Microphone type: Laptop Built-in 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-0989 Great place to take a breather in the late afternoon (somewhat) in style.
en-0990 Hey there sugar! I have definitely missed you.
en-0991 I have missed everyone. I like my new job.
en-0992 I see her and she is pure delight.
en-0993 She yells a greeting to me when she sees me and it lights up my heart.
en-0994 they signed a fifteen year tolling agreement
en-0995 for all of the output of Southwest's Las Vegas expansion project
en-0996 Steve and his firm will develop and implement a comprehensive plan
en-0997 to restructure the company and emerge from bankruptcy.
en-0998 Regarding the guest password,

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/.


serak-20170326-zna.tgz

--- (Edited on 4/5/2017 7:03 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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