deploy: bffce413f07d938e35d69d5eb2f360c7ff842502

_sources/recipes/Non-streaming-ASR/librispeech/zipformer_ctc_blankskip.rst.txt

@@ -299,11 +299,11 @@ to run the training part first.
 
     - (1) ``epoch-1.pt``, ``epoch-2.pt``, ..., which are saved at the end
       of each epoch. You can pass ``--epoch`` to
-      ``pruned_transducer_stateless7_ctc_bs/ctc_guild_decode_bs.py`` to use them.
+      ``pruned_transducer_stateless7_ctc_bs/ctc_guide_decode_bs.py`` to use them.
 
     - (2) ``checkpoints-436000.pt``, ``epoch-438000.pt``, ..., which are saved
       every ``--save-every-n`` batches. You can pass ``--iter`` to
-      ``pruned_transducer_stateless7_ctc_bs/ctc_guild_decode_bs.py`` to use them.
+      ``pruned_transducer_stateless7_ctc_bs/ctc_guide_decode_bs.py`` to use them.
 
     We suggest that you try both types of checkpoints and choose the one
     that produces the lowest WERs.
@@ -311,7 +311,7 @@ to run the training part first.
 .. code-block:: bash
 
   $ cd egs/librispeech/ASR
-  $ ./pruned_transducer_stateless7_ctc_bs/ctc_guild_decode_bs.py --help
+  $ ./pruned_transducer_stateless7_ctc_bs/ctc_guide_decode_bs.py --help
 
 shows the options for decoding.
 
@@ -320,7 +320,7 @@ The following shows the example using ``epoch-*.pt``:
 .. code-block:: bash
 
     for m in greedy_search fast_beam_search modified_beam_search; do
-        ./pruned_transducer_stateless7_ctc_bs/ctc_guild_decode_bs.py \
+        ./pruned_transducer_stateless7_ctc_bs/ctc_guide_decode_bs.py \
             --epoch 30 \
             --avg 13 \
             --exp-dir pruned_transducer_stateless7_ctc_bs/exp \
@@ -333,7 +333,7 @@ To test CTC branch, you can use the following command:
 .. code-block:: bash
 
     for m in ctc-decoding 1best; do
-        ./pruned_transducer_stateless7_ctc_bs/ctc_guild_decode_bs.py \
+        ./pruned_transducer_stateless7_ctc_bs/ctc_guide_decode_bs.py \
             --epoch 30 \
             --avg 13 \
             --exp-dir pruned_transducer_stateless7_ctc_bs/exp \
@@ -367,7 +367,7 @@ It will generate a file ``./pruned_transducer_stateless7_ctc_bs/exp/pretrained.p
 
 .. hint::
 
-   To use the generated ``pretrained.pt`` for ``pruned_transducer_stateless7_ctc_bs/ctc_guild_decode_bs.py``,
+   To use the generated ``pretrained.pt`` for ``pruned_transducer_stateless7_ctc_bs/ctc_guide_decode_bs.py``,
    you can run:
 
    .. code-block:: bash
@@ -376,7 +376,7 @@ It will generate a file ``./pruned_transducer_stateless7_ctc_bs/exp/pretrained.p
       ln -s pretrained epoch-9999.pt
 
    And then pass ``--epoch 9999 --avg 1 --use-averaged-model 0`` to
-   ``./pruned_transducer_stateless7_ctc_bs/ctc_guild_decode_bs.py``.
+   ``./pruned_transducer_stateless7_ctc_bs/ctc_guide_decode_bs.py``.
 
 To use the exported model with ``./pruned_transducer_stateless7_ctc_bs/pretrained.py``, you
 can run:

recipes/Non-streaming-ASR/librispeech/zipformer_ctc_blankskip.html

@@ -388,23 +388,23 @@ to run the training part first.</p>
 <div><ul class="simple">
 <li><p>(1) <code class="docutils literal notranslate"><span class="pre">epoch-1.pt</span></code>, <code class="docutils literal notranslate"><span class="pre">epoch-2.pt</span></code>, …, which are saved at the end
 of each epoch. You can pass <code class="docutils literal notranslate"><span class="pre">--epoch</span></code> to
-<code class="docutils literal notranslate"><span class="pre">pruned_transducer_stateless7_ctc_bs/ctc_guild_decode_bs.py</span></code> to use them.</p></li>
+<code class="docutils literal notranslate"><span class="pre">pruned_transducer_stateless7_ctc_bs/ctc_guide_decode_bs.py</span></code> to use them.</p></li>
 <li><p>(2) <code class="docutils literal notranslate"><span class="pre">checkpoints-436000.pt</span></code>, <code class="docutils literal notranslate"><span class="pre">epoch-438000.pt</span></code>, …, which are saved
 every <code class="docutils literal notranslate"><span class="pre">--save-every-n</span></code> batches. You can pass <code class="docutils literal notranslate"><span class="pre">--iter</span></code> to
-<code class="docutils literal notranslate"><span class="pre">pruned_transducer_stateless7_ctc_bs/ctc_guild_decode_bs.py</span></code> to use them.</p></li>
+<code class="docutils literal notranslate"><span class="pre">pruned_transducer_stateless7_ctc_bs/ctc_guide_decode_bs.py</span></code> to use them.</p></li>
 </ul>
 <p>We suggest that you try both types of checkpoints and choose the one
 that produces the lowest WERs.</p>
 </div></blockquote>
 </div>
 <div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>$<span class="w"> </span><span class="nb">cd</span><span class="w"> </span>egs/librispeech/ASR
-$<span class="w"> </span>./pruned_transducer_stateless7_ctc_bs/ctc_guild_decode_bs.py<span class="w"> </span>--help
+$<span class="w"> </span>./pruned_transducer_stateless7_ctc_bs/ctc_guide_decode_bs.py<span class="w"> </span>--help
 </pre></div>
 </div>
 <p>shows the options for decoding.</p>
 <p>The following shows the example using <code class="docutils literal notranslate"><span class="pre">epoch-*.pt</span></code>:</p>
 <div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="k">for</span><span class="w"> </span>m<span class="w"> </span><span class="k">in</span><span class="w"> </span>greedy_search<span class="w"> </span>fast_beam_search<span class="w"> </span>modified_beam_search<span class="p">;</span><span class="w"> </span><span class="k">do</span>
-<span class="w">    </span>./pruned_transducer_stateless7_ctc_bs/ctc_guild_decode_bs.py<span class="w"> </span><span class="se">\</span>
+<span class="w">    </span>./pruned_transducer_stateless7_ctc_bs/ctc_guide_decode_bs.py<span class="w"> </span><span class="se">\</span>
 <span class="w">        </span>--epoch<span class="w"> </span><span class="m">30</span><span class="w"> </span><span class="se">\</span>
 <span class="w">        </span>--avg<span class="w"> </span><span class="m">13</span><span class="w"> </span><span class="se">\</span>
 <span class="w">        </span>--exp-dir<span class="w"> </span>pruned_transducer_stateless7_ctc_bs/exp<span class="w"> </span><span class="se">\</span>
@@ -415,7 +415,7 @@ $<span class="w"> </span>./pruned_transducer_stateless7_ctc_bs/ctc_guild_decode_
 </div>
 <p>To test CTC branch, you can use the following command:</p>
 <div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="k">for</span><span class="w"> </span>m<span class="w"> </span><span class="k">in</span><span class="w"> </span>ctc-decoding<span class="w"> </span>1best<span class="p">;</span><span class="w"> </span><span class="k">do</span>
-<span class="w">    </span>./pruned_transducer_stateless7_ctc_bs/ctc_guild_decode_bs.py<span class="w"> </span><span class="se">\</span>
+<span class="w">    </span>./pruned_transducer_stateless7_ctc_bs/ctc_guide_decode_bs.py<span class="w"> </span><span class="se">\</span>
 <span class="w">        </span>--epoch<span class="w"> </span><span class="m">30</span><span class="w"> </span><span class="se">\</span>
 <span class="w">        </span>--avg<span class="w"> </span><span class="m">13</span><span class="w"> </span><span class="se">\</span>
 <span class="w">        </span>--exp-dir<span class="w"> </span>pruned_transducer_stateless7_ctc_bs/exp<span class="w"> </span><span class="se">\</span>
@@ -445,14 +445,14 @@ command to extract <code class="docutils literal notranslate"><span class="pre">
 <p>It will generate a file <code class="docutils literal notranslate"><span class="pre">./pruned_transducer_stateless7_ctc_bs/exp/pretrained.pt</span></code>.</p>
 <div class="admonition hint">
 <p class="admonition-title">Hint</p>
-<p>To use the generated <code class="docutils literal notranslate"><span class="pre">pretrained.pt</span></code> for <code class="docutils literal notranslate"><span class="pre">pruned_transducer_stateless7_ctc_bs/ctc_guild_decode_bs.py</span></code>,
+<p>To use the generated <code class="docutils literal notranslate"><span class="pre">pretrained.pt</span></code> for <code class="docutils literal notranslate"><span class="pre">pruned_transducer_stateless7_ctc_bs/ctc_guide_decode_bs.py</span></code>,
 you can run:</p>
 <div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="nb">cd</span><span class="w"> </span>pruned_transducer_stateless7_ctc_bs/exp
 ln<span class="w"> </span>-s<span class="w"> </span>pretrained<span class="w"> </span>epoch-9999.pt
 </pre></div>
 </div>
 <p>And then pass <code class="docutils literal notranslate"><span class="pre">--epoch</span> <span class="pre">9999</span> <span class="pre">--avg</span> <span class="pre">1</span> <span class="pre">--use-averaged-model</span> <span class="pre">0</span></code> to
-<code class="docutils literal notranslate"><span class="pre">./pruned_transducer_stateless7_ctc_bs/ctc_guild_decode_bs.py</span></code>.</p>
+<code class="docutils literal notranslate"><span class="pre">./pruned_transducer_stateless7_ctc_bs/ctc_guide_decode_bs.py</span></code>.</p>
 </div>
 <p>To use the exported model with <code class="docutils literal notranslate"><span class="pre">./pruned_transducer_stateless7_ctc_bs/pretrained.py</span></code>, you
 can run:</p>