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Copy file name to clipboardExpand all lines: docs/tutorials/advanced.rst
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@@ -30,7 +30,7 @@ SpeechBrain Advanced
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- June. 2022
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- Difficulty: medium
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- Time: 45min
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- `🔗 Google Colab <https://colab.research.google.com/github/speechbrain/speechbrain/blob/develop/tutorials/advanced/profiling-and-benchmark.ipynb>`__
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- `🔗 Google Colab <https://colab.research.google.com/github/speechbrain/speechbrain/blob/develop/docs/tutorials/advanced/profiling-and-benchmark.ipynb>`__
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Profiling and benchmark of SpeechBrain models can serve different purposes and look at different angles. Performance requirements are highly particular to the use case with that one desires to use SpeechBrain. This provides means to comprehensive self-learning as a starting point to individual growth beyond the provided.
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- Nov. 2021
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- Difficulty: medium
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- Time: 25min
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- `🔗 Google Colab <https://colab.research.google.com/github/speechbrain/speechbrain/blob/develop/tutorials/advanced/dynamic-batching.ipynb>`__
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- `🔗 Google Colab <https://colab.research.google.com/github/speechbrain/speechbrain/blob/develop/docs/tutorials/advanced/dynamic-batching.ipynb>`__
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Do you want to speed up training or make it less memory-demanding? One possible solution could be dynamic batching. With this approach, you can dynamically sample batches composed of a variable number of sentences. In this tutorial, we show how to use this technique within SpeechBrain.
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- Dec. 2021
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- Difficulty: medium
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- Time: 25min
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- `🔗 Google Colab <https://colab.research.google.com/github/speechbrain/speechbrain/blob/develop/tutorials/advanced/hyperparameter-optimization.ipynb>`__
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- `🔗 Google Colab <https://colab.research.google.com/github/speechbrain/speechbrain/blob/develop/docs/tutorials/advanced/hyperparameter-optimization.ipynb>`__
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Do you want to optimize the hyperparameters of your model? Are you tired of doing it by hand? This tutorial will describe how you can optimize the hyperparameter of your SpeechBrain model using the Orion toolkit.
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- Nov. 2021
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- Difficulty: high
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- Time: 45min
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- `🔗 Google Colab <https://colab.research.google.com/github/speechbrain/speechbrain/blob/develop/tutorials/advanced/federated-speech-model-training-via-speechbrain-and-flower.ipynb>`__
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- `🔗 Google Colab <https://colab.research.google.com/github/speechbrain/speechbrain/blob/develop/docs/tutorials/advanced/federated-speech-model-training-via-speechbrain-and-flower.ipynb>`__
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Are you interested in both federated learning (FL) and speech, but worried about the proper tools to run experiments? Today you will get the answer.
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- Sept.. 2021
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- Difficulty: medium
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- Time: 30min
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- `🔗 Google Colab <https://colab.research.google.com/github/speechbrain/speechbrain/blob/develop/tutorials/advanced/inferring-on-your-own-speechbrain-models.ipynb>`__
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- `🔗 Google Colab <https://colab.research.google.com/github/speechbrain/speechbrain/blob/develop/docs/tutorials/advanced/inferring-on-your-own-speechbrain-models.ipynb>`__
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In this tutorial, we will learn the three different ways of inferring on a trained model.
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- Mar. 2021
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- Difficulty: medium
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- Time: 30min
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- `🔗 Google Colab <https://colab.research.google.com/github/speechbrain/speechbrain/blob/develop/tutorials/advanced/pre-trained-models-and-fine-tuning-with-huggingface.ipynb>`__
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- `🔗 Google Colab <https://colab.research.google.com/github/speechbrain/speechbrain/blob/develop/docs/tutorials/advanced/pre-trained-models-and-fine-tuning-with-huggingface.ipynb>`__
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Training DNN models is often very time-consuming and expensive.
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- Feb. 2021
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- Difficulty: medium
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- Time: 15min
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- `🔗 Google Colab <https://colab.research.google.com/github/speechbrain/speechbrain/blob/develop/tutorials/advanced/data-loading-for-big-datasets-and-shared-filesystems.ipynb>`__
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- `🔗 Google Colab <https://colab.research.google.com/github/speechbrain/speechbrain/blob/develop/docs/tutorials/advanced/data-loading-for-big-datasets-and-shared-filesystems.ipynb>`__
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Do you have a huge dataset stored in a shared file system? This tutorial will show you how to load large datasets from the shared file system and use them for training a neural network with SpeechBrain.
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- Feb. 2021
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- Difficulty: easy
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- Time: 20min
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- `🔗 Google Colab <https://colab.research.google.com/github/speechbrain/speechbrain/blob/develop/tutorials/advanced/text-tokenizer.ipynb>`__
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- `🔗 Google Colab <https://colab.research.google.com/github/speechbrain/speechbrain/blob/develop/docs/tutorials/advanced/text-tokenizer.ipynb>`__
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Machine Learning tasks that process text may contain thousands of vocabulary
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- Apr. 2024
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- Difficulty: medium
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- Time: 30min
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- `🔗 Google Colab <https://colab.research.google.com/github/speechbrain/speechbrain/blob/develop/tutorials/advanced/model-quantization.ipynb>`__
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- `🔗 Google Colab <https://colab.research.google.com/github/speechbrain/speechbrain/blob/develop/docs/tutorials/advanced/model-quantization.ipynb>`__
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Quantization is a necessary step for many deep neural networks, particularly for tasks requiring low latency and efficient memory usage like real-time automatic speech recognition. This tutorial will introduce the problem of quantization and explain how to perform quantization using SpeechBrain.
Copy file name to clipboardExpand all lines: docs/tutorials/advanced/data-loading-for-big-datasets-and-shared-filesystems.ipynb
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"[<img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/>](https://colab.research.google.com/github/speechbrain/speechbrain/blob/develop/docs/tutorials/advanced/data-loading-for-big-datasets-and-shared-filesystems.ipynb)\n",
Copy file name to clipboardExpand all lines: docs/tutorials/advanced/dynamic-batching.ipynb
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"[<img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/>](https://colab.research.google.com/github/speechbrain/speechbrain/blob/develop/docs/tutorials/advanced/dynamic-batching.ipynb)\n",
Copy file name to clipboardExpand all lines: docs/tutorials/advanced/federated-speech-model-training-via-speechbrain-and-flower.ipynb
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"[<img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/>](https://colab.research.google.com/github/speechbrain/speechbrain/blob/develop/docs/tutorials/advanced/federated-speech-model-training-via-speechbrain-and-flower.ipynb)\n",
Copy file name to clipboardExpand all lines: docs/tutorials/advanced/hyperparameter-optimization.ipynb
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"[<img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/>](https://colab.research.google.com/github/speechbrain/speechbrain/blob/develop/docs/tutorials/advanced/hyperparameter-optimization.ipynb)\n",
Copy file name to clipboardExpand all lines: docs/tutorials/advanced/inferring-on-your-own-speechbrain-models.ipynb
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"[<img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/>](https://colab.research.google.com/github/speechbrain/speechbrain/blob/develop/docs/tutorials/advanced/inferring-on-your-own-speechbrain-models.ipynb)\n",
Copy file name to clipboardExpand all lines: docs/tutorials/advanced/model-quantization.ipynb
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"[<img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/>](https://colab.research.google.com/github/speechbrain/speechbrain/blob/develop/docs/tutorials/advanced/model-quantization.ipynb)\n",
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"[<img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/>](https://colab.research.google.com/github/speechbrain/speechbrain/blob/develop/docs/tutorials/advanced/pre-trained-models-and-fine-tuning-with-huggingface.ipynb)\n",
Copy file name to clipboardExpand all lines: docs/tutorials/advanced/profiling-and-benchmark.ipynb
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"[<img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/>](https://colab.research.google.com/github/speechbrain/speechbrain/blob/develop/docs/tutorials/advanced/profiling-and-benchmark.ipynb)\n",
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