android-alize | ALIZE for the Android platform | Computer Vision library
kandi X-RAY | android-alize Summary
kandi X-RAY | android-alize Summary
You need to get the source for alize-core and LIA_RAL from their respective repositories, and put the two source folders at this path: {project_root}/alize/src/main/cpp/. In order to extract features from the audio signal, ALIZÉ relies on the free speech signal processing toolkit SPro, developed by Guillaume Gravier at IRISA: You need to download the source code package for SPro (please read the warning below), uncompress/unarchive it, and put the resulting folder at the same path as the other two ({project_root}/alize/src/main/cpp/). The name for the folder is expected to be spro, with no version number. There is no need to compile SPro using the configure script and makefile provided in the package; only access to the source code is required. ️Warning: Note that only the revisions 155 and up of SPro are fully compatible with 64-bit CPUs and ALIZÉ. However, at the time of this writing, these versions of SPro are only available through Subversion, and the direct download link given on the website above points to an older revision of SPro 5 which includes a bug leading to corrupted feature files when compiled for 64 bit systems. If you want to be sure to get the right version of SPro for use with ALIZÉ, you can download it from ALIZÉ's website:
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QUESTION
I'm using android-alize for a speaker identification app. As the documentation says I'm trying to train a model as below,
// Send audio to the system alizeSystem.addAudio(audio);
// Train a model with the audio alizeSystem.createSpeakerModel("Somebody");
But my application crashing with below stacktrace,
...ANSWER
Answered 2018-Apr-25 at 05:05Further debugged the Alize-LIA_RAL and I realized that the android project looks for a world.gmm (UBM) in assets/gmm/world.gmm. Seems like we have to generate this world.gmm with LIA_RAL library and later add it to the android code.
However we have to specify the UBM location using below given code snippet during the alize initialization.
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