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| | | </section> |
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| | | <section id="quick-start"> |
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| | | <h2>Quick start<a class="headerlink" href="#quick-start" title="Permalink to this heading">¶</a></h2> |
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| | | <p>To run the baseline, first you need to install FunASR and ModelScope. (<a class="reference external" href="https://alibaba-damo-academy.github.io/FunASR/en/installation.html">installation</a>)<br /> |
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| | | <p>To run the baseline, first you need to install FunASR and ModelScope. (<a class="reference external" href="https://github.com/alibaba-damo-academy/FunASR#installation">installation</a>)<br /> |
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| | | There are two startup scripts, <code class="docutils literal notranslate"><span class="pre">run.sh</span></code> for training and evaluating on the old eval and test sets, and <code class="docutils literal notranslate"><span class="pre">run_m2met_2023_infer.sh</span></code> for inference on the new test set of the Multi-Channel Multi-Party Meeting Transcription 2.0 (<a class="reference external" href="https://alibaba-damo-academy.github.io/FunASR/m2met2/index.html">M2MeT2.0</a>) Challenge.<br /> |
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| | | Before running <code class="docutils literal notranslate"><span class="pre">run.sh</span></code>, you must manually download and unpack the <a class="reference external" href="http://www.openslr.org/119/">AliMeeting</a> corpus and place it in the <code class="docutils literal notranslate"><span class="pre">./dataset</span></code> directory:</p> |
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| | | <div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>dataset |
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