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mravanelli authored Feb 24, 2024
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Expand Up @@ -197,7 +197,7 @@ <h2>Why SpeechBrain?</h2>
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<h3>Adapts to your needs.</h3>
<h6>SpeechBrain allows users to install either via PyPI to rapidly use the standard library or via a local install to view recipes and further explore the features of the toolkit.</h6>
<h6>You can install SpeechBrain via PyPI for quick access to its functionalities, or through a local install for accessing recipes and delving deeper into the toolkit..</h6>
<a class="main_btn" href="tutorial_basics.html">Get Started Now</a>
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Expand All @@ -222,8 +222,7 @@ <h6>SpeechBrain allows users to install either via PyPI to rapidly use the stand
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<h3>A single command.</h3>
<h6>Every SpeechBrain recipe relies on a YAML file that summarizes all the functions and hyperparameters of the system.
A single Python script combines them to implement the desired task.</h6>
<h6>Each SpeechBrain recipe defines all hyperparameters into a single YAML file. The training process is then orchestrated by a Python script.</h6>
<a class="main_btn" href="tutorial_basics.html">Get Started Now</a>
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Expand All @@ -249,10 +248,9 @@ <h6>Every SpeechBrain recipe relies on a YAML file that summarizes all the funct
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<h3>Built for research.</h3>
<h6>SpeechBrain is designed for research and development. Hence, flexibility and transparency are
core concepts to facilitate our daily work. You can define your own deep learning models, losses, training / evaluation loops,
input pipeline / transformations and use them handily without overhead.
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<h6>
SpeechBrain is designed for research and development. Hence, flexibility, transparency, and replicability are core concepts to enhance our daily workflows. Users can easily define custom deep learning models, losses, training/evaluation loops, and input pipelines/transformations, and easily integrate into existing pipelines.
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<a class="main_btn" href="tutorial_basics.html">Get Started Now</a>
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