GitHub - facebookresearch/wav2letter: Facebook AI Research Automatic Speech Reco...
source link: https://github.com/facebookresearch/wav2letter
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wav2letter++
Important Note:
wav2letter has been moved and consolidated into Flashlight in the ASR application.
Future wav2letter development will occur in Flashlight.
To build the old, pre-consolidation version of wav2letter, checkout the wav2letter v0.2 release, which depends on the old Flashlight v0.2 release. The wav2letter-lua project can be found on the wav2letter-lua branch, accordingly.
For more information on wav2letter++, see or cite this arXiv paper.
Recipes
This repository includes recipes to reproduce the following research papers as well as pre-trained models. All results reproduction must use Flashlight <= 0.3.2 for exact reproducability. Papers contained here include:
Data preparation for training and evaluation can be found in data directory.
Building the Recipes
First, install Flashlight (using the 0.3 branch is required) with the ASR application.
mkdir build && cd build
cmake .. && make -j8If Flashlight or ArrayFire are installed in nonstandard paths via a custom CMAKE_INSTALL_PREFIX, they can be found by passing
-Dflashlight_DIR=[PREFIX]/usr/share/flashlight/cmake/ -DArrayFire_DIR=[PREFIX]/usr/share/ArrayFire/cmakewhen running cmake.
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License
wav2letter++ is MIT-licensed, as found in the LICENSE file.
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