English Speech Files

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camdixon-20141207-dvx
User: speechsubmission
Date: 12/11/2014 6:08 am
Views: 578
Rating: 0
User Name:camdixon

Speaker Characteristics:

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

Recording Information:

Microphone make: n/a
Microphone type: Headset mic
Audio card make: unknown
Audio card type: unknown
Audio Recording Software: VoxForge Speech Submission Application
O/S:

File Info:

File type: wav
Sampling Rate: 48000
Sample rate format: 16
Number of channels: 1

Prompts:


rb-08 the amount of available "screen real-estate".
rb-09 On top of that thumbing or thumb typing puts a lot of strain on the thumb,
rb-10 which is not as dexterous as the fingers are.
rb-11 A good solution would be to use speech recognition,
rb-12 especially since most of these devices often already have a built-in microphone.
rb-13 Many phones already offer the possibility of so-called voice dialing.
rb-14 A major stumbling block is the still limited computing power of these phones.
rb-15 One way to deal with this is to use only a limited number of available commands.
rb-16 That way the software only needs to compare
rb-17 the voice input with a small number of possible options.

License:


Copyright 2014 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/.


camdixon-20141207-dvx.tgz

--- (Edited on 12/11/2014 6:08 am [GMT-0600] 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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