</span>
    <span class="sa">r</span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd">    QuartzNet is fully convolutional automatic speech recognition model.  The model is composed of multiple</span>
<span class="sd">    blocks with residual connections between them. Each block consists of one or more modules with</span>
<span class="sd">    1D time-channel separable convolutional layers, batch normalization, and ReLU layers.</span>
<span class="sd">    It is trained with CTC loss.</span>

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