add Readme, add steps explanations

openvinotoolkit · Jan 26, 2024 · 05231ab · 05231ab
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diff --git a/notebooks/284-openvoice/284-openvoice-quantization.ipynb b/notebooks/284-openvoice/284-openvoice-quantization.ipynb
diff --git a/notebooks/284-openvoice/284-openvoice.ipynb b/notebooks/284-openvoice/284-openvoice.ipynb
diff --git a/notebooks/284-openvoice/README.md b/notebooks/284-openvoice/README.md
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+# Voice tone cloning with OpenVoice and OpenVINO
+
+[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F280-openvoice%2F280-openvoice.ipynb)
+[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/280-openvoice/280-openvoice.ipynb)
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+<!-- TODO: insert link with the image/gif -->
+![sdf](openvoice_scheme.png)
+
+[OpenVoice](https://github.com/myshell-ai/OpenVoice) OpenVoice, a versatile instant voice tone transfering and generating speech in various languages with just a brief audio snippet from the source speaker. OpenVoice represents a significant advancement and has three main features: (i) high quality tone color replication with multiple languages and accents; (ii) it provides fine-tuned control over voice styles, including emotions, accents, as well as other parameters such as rhythm, pauses, and intonation. (iii) OpenVoice achieves zero-shot cross-lingual voice cloning, eliminating the need for the generated speech and the reference speech to be part of a massive-speaker multilingual training dataset
+
+More details about model can be found in [project web page](https://research.myshell.ai/open-voice), [paper](https://arxiv.org/abs/2312.01479), and official [repository](https://github.com/myshell-ai/OpenVoice)
+
+In this tutorial we will explore how to convert and run OpenVoice using OpenVINO.
+
+## Notebook Contents
+
+This notebook demonstrates voice tone cloning with [OpenVoice](https://github.com/myshell-ai/OpenVoice) in OpenVINO.
+
+The tutorial consists of following steps:
+- Install prerequisites
+- Load PyTorch model
+- Convert Model to Openvino Intermediate Representation format
+- Run OpenVINO model inference on a single example
+- Launch interactive demo
+
+## 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).
diff --git a/notebooks/408-openvoice/openvoice_gradio.py → notebooks/284-openvoice/openvoice_gradio.py b/notebooks/408-openvoice/openvoice_gradio.py → notebooks/284-openvoice/openvoice_gradio.py
diff --git a/notebooks/284-openvoice/openvoice_scheme.png b/notebooks/284-openvoice/openvoice_scheme.png
diff --git a/notebooks/408-openvoice/408-openvoice.ipynb b/notebooks/408-openvoice/408-openvoice.ipynb
diff --git a/notebooks/408-openvoice/openvoice_utils.py b/notebooks/408-openvoice/openvoice_utils.py