SpeakerVoiceIdentifier recognize the voice of a speaker.

SpeakerVoiceIdentifier can recognize the voice of a speaker by learning.

• Use MFCC (Mel-frequency cepstral coefficients) to analyse the voice
• Use GMM classifier (Gaussian mixture model) to modelize and recognize the voice

Recognition of one voice between ten :

• 5 ms on Core i7 3.4Ghz
• 10 ms on Celeron G540 2.5Ghz
• 154 ms on Raspberry PI model A

• Compatible with x86, x64 and ARM architecture
• Compatible with windows and Linux OS.
• So it's compatible for Raspberry Pi
• No dependency

You can build SpeakerVoiceIdentifier with Code::Blocks project (SpeakerIdCpp.cbp) or VS2015 solution (SpeakerIdCpp.sln) or CMake (CMakeLists.txt).

SpeakerVoiceIdentifier is free software : you can redistribute it and/or modify it 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.

SpeakerVoiceIdentifier is distributed in the hope that it 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 SpeakerVoiceIdentifier. If not, see http://www.gnu.org/licenses/.