English Speech Files

Flat
serak-20170326-dvj
User: speechsubmission
Date: 4/24/2017 7:07 am
Views: 3163
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-1140 I was out of town again,
en-1141 and am back at trying to complete five plus days of work within three days.
en-1142 First apologies if you're getting this and you ain't even in finance.
en-1143 If it's annoying the heck out of you, write back.
en-1144 Thanks so much for pulling together the November information
en-1145 and getting it to us with so much detail well before our deadline
en-1146 I need to have better mathematical skill
en-1147 and I will start taking math classes at night after work.
en-1148 But you are point's well taken and I'll try to acount for it in the answer.
en-1149 To familiarize yourself with

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-dvj.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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