This is the 0.8.2 release of Deep Speech, an open speech-to-text engine. In accord with semantic versioning, this version is not completely backwards compatible with earlier versions. However, models exported for 0.7.X should work with this release. As with previous releases, this release includes the source code:
The model with the ".pbmm" extension is memory mapped and thus memory efficient and fast to load. The model with the ".tflite" extension is converted to use TFLite, has post-training quantization enabled, and is more suitable for resource constrained environments.
The acoustic models were trained on American English and the pbmm model achieves an 5.97% word error rate on the LibriSpeech clean test corpus.
Note that the model currently performs best in low-noise environments with clear recordings and has a bias towards US male accents. This does not mean the model cannot be used outside of these conditions, but that accuracy may be lower. Some users may need to train the model further to meet their intended use-case.
Training Regimen + Hyperparameters for fine-tuning
The hyperparameters used to train the model are useful for fine tuning. Thus, we document them here along with the training regimen, hardware used (a server with 8 Quadro RTX 6000 GPUs each with 24GB of VRAM), and our use of cuDNN RNN.
In contrast to some previous releases, training for this release occurred in several phases each phase with a lower learning rate than the phase before it.
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Bumps libdeepspeech from 0.8.1 to 0.8.2.
Release notes
Sourced from libdeepspeech's releases.
Changelog
Sourced from libdeepspeech's changelog.
Commits
02e4c76Bump VERSION to 0.8.2c9bd96fMerge pull request #3267 from lissyx/electronjs-r0.8ba6c68dAdd ElectronJS v9.25803eebMerge pull request #3265 from lissyx/py-metadata-fixa920e95Update client.py2de2eacMerge pull request #3260 from mozilla/macos-min-10.10-r0.8f0c327aExplicitly set minimum macOS version in bazel flags95210b2Merge pull request #3250 from lissyx/swig-prebuilt0671a78Hotfix repo rename5089e69Fix SWIG prebuild URLDependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
@dependabot rebase.Dependabot commands and options
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