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# Speech to Text with OpenVINO™
[](https://mybinder.org/v2/gh/eaidova/openvino_notebooks_binder.git/main?urlpath=git-pull%3Frepo%3Dhttps%253A%252F%252Fgithub.com%252Fopenvinotoolkit%252Fopenvino_notebooks%26urlpath%3Dtree%252Fopenvino_notebooks%252Fnotebooks%2Fspeech-to-text%2Fspeech-to-text.ipynb)
[](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/latest/notebooks/speech-to-text/speech-to-text.ipynb)

In this tutorial speech to text recognition is presented.
## Notebook Contents
This tutorial uses the [QuartzNet 15x5](https://docs.openvino.ai/2024/omz_models_model_quartznet_15x5_en.html) model. QuartzNet performs automatic speech recognition. Its design is based on the Jasper architecture, which is a convolutional model trained with Connectionist Temporal Classification (CTC) loss. The model is available from [Open Model Zoo](https://github.com/openvinotoolkit/open_model_zoo/).
## Installation instructions
This is a self-contained example that relies solely on its own code.</br>
We recommend running the notebook in a virtual environment. You only need a Jupyter server to start.
For details, please refer to [Installation Guide](../../README.md).
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