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dscripka 2023-10-11 21:58:00 -04:00
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@ -11,6 +11,9 @@ openWakeWord is an open-source wakeword library that can be used to create voice
# Updates
**2023/10/11**
- Significant improvements to the process of [training new models](#training-new-models), including an example Google Colab notebook demonstrating how to train a basic wake word model in <1 hour.
**2023/06/15**
- v0.5.0 of openWakeWord released. See the [changelog](CHANGELOG.md) for a full descriptions of new features and changes.
@ -212,7 +215,7 @@ While the models are trained with background noise to increase robustness, in so
openWakeWord includes an automated utility that greatly simplifies the process of training custom models. This can be used in two ways:
1) In a simple [Google Colab](https://colab.research.google.com/drive/1q1oe2zOyZp7UsB3jJiQ1IFn8z5YfjwEb?usp=sharing) notebook with an easy to use interface and simple end-to-end process. This allows anyone to produce a custom model very quickly (<1 hour) and doesn't require any development experience, but the performance of the model may be low in some deployment scenarios.
1) A simple [Google Colab](https://colab.research.google.com/drive/1q1oe2zOyZp7UsB3jJiQ1IFn8z5YfjwEb?usp=sharing) notebook with an easy to use interface and simple end-to-end process. This allows anyone to produce a custom model very quickly (<1 hour) and doesn't require any development experience, but the performance of the model may be low in some deployment scenarios.
2) A more detailed [notebook](notebooks/automatic_model_training.ipynb) (also on [Google Colab](https://colab.research.google.com/drive/1yyFH-fpguX2BTAW8wSQxTrJnJTM-0QAd?usp=sharing)) that describes the training process in more details, and enables more customization. This can produce high quality models, but requires more development experience.