From d2dc3af1a69ee4075bcfc0c83dc0fb8e3fc1db4e Mon Sep 17 00:00:00 2001 From: yhliang <68215459+yhliang-aslp@users.noreply.github.com> Date: 星期四, 11 五月 2023 16:31:40 +0800 Subject: [PATCH] Merge pull request #492 from alibaba-damo-academy/dev_smohan --- docs/m2met2/_build/html/Baseline.html | 9 +++++---- 1 files changed, 5 insertions(+), 4 deletions(-) diff --git a/docs/m2met2/_build/html/Baseline.html b/docs/m2met2/_build/html/Baseline.html index 3db1438..62c656c 100644 --- a/docs/m2met2/_build/html/Baseline.html +++ b/docs/m2met2/_build/html/Baseline.html @@ -141,9 +141,10 @@ <span class="p">|</span>鈥斺��<span class="w"> </span>Test_Ali_near <span class="p">|</span>鈥斺��<span class="w"> </span>Train_Ali_far <span class="p">|</span>鈥斺��<span class="w"> </span>Train_Ali_near -Before<span class="w"> </span>running<span class="w"> </span><span class="sb">`</span>run_m2met_2023_infer.sh<span class="sb">`</span>,<span class="w"> </span>you<span class="w"> </span>need<span class="w"> </span>to<span class="w"> </span>place<span class="w"> </span>the<span class="w"> </span>new<span class="w"> </span><span class="nb">test</span><span class="w"> </span><span class="nb">set</span><span class="w"> </span><span class="sb">`</span>Test_2023_Ali_far<span class="sb">`</span><span class="w"> </span><span class="o">(</span>to<span class="w"> </span>be<span class="w"> </span>released<span class="w"> </span>after<span class="w"> </span>the<span class="w"> </span>challenge<span class="w"> </span>starts<span class="o">)</span><span class="w"> </span><span class="k">in</span><span class="w"> </span>the<span class="w"> </span><span class="sb">`</span>./dataset<span class="sb">`</span><span class="w"> </span>directory,<span class="w"> </span>which<span class="w"> </span>contains<span class="w"> </span>only<span class="w"> </span>raw<span class="w"> </span>audios.<span class="w"> </span>Then<span class="w"> </span>put<span class="w"> </span>the<span class="w"> </span>given<span class="w"> </span><span class="sb">`</span>wav.scp<span class="sb">`</span>,<span class="w"> </span><span class="sb">`</span>wav_raw.scp<span class="sb">`</span>,<span class="w"> </span><span class="sb">`</span>segments<span class="sb">`</span>,<span class="w"> </span><span class="sb">`</span>utt2spk<span class="sb">`</span><span class="w"> </span>and<span class="w"> </span><span class="sb">`</span>spk2utt<span class="sb">`</span><span class="w"> </span><span class="k">in</span><span class="w"> </span>the<span class="w"> </span><span class="sb">`</span>./data/Test_2023_Ali_far<span class="sb">`</span><span class="w"> </span>directory.<span class="w"> </span> -<span class="sb">```</span>shell -data/Test_2023_Ali_far +</pre></div> +</div> +<p>Before running <code class="docutils literal notranslate"><span class="pre">run_m2met_2023_infer.sh</span></code>, you need to place the new test set <code class="docutils literal notranslate"><span class="pre">Test_2023_Ali_far</span></code> (to be released after the challenge starts) in the <code class="docutils literal notranslate"><span class="pre">./dataset</span></code> directory, which contains only raw audios. Then put the given <code class="docutils literal notranslate"><span class="pre">wav.scp</span></code>, <code class="docutils literal notranslate"><span class="pre">wav_raw.scp</span></code>, <code class="docutils literal notranslate"><span class="pre">segments</span></code>, <code class="docutils literal notranslate"><span class="pre">utt2spk</span></code> and <code class="docutils literal notranslate"><span class="pre">spk2utt</span></code> in the <code class="docutils literal notranslate"><span class="pre">./data/Test_2023_Ali_far</span></code> directory.</p> +<div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>data/Test_2023_Ali_far <span class="p">|</span>鈥斺��<span class="w"> </span>wav.scp <span class="p">|</span>鈥斺��<span class="w"> </span>wav_raw.scp <span class="p">|</span>鈥斺��<span class="w"> </span>segments @@ -156,7 +157,7 @@ <section id="baseline-results"> <h2>Baseline results<a class="headerlink" href="#baseline-results" title="Permalink to this heading">露</a></h2> <p>The results of the baseline system are shown in Table 3. The speaker profile adopts the oracle speaker embedding during training. However, due to the lack of oracle speaker label during evaluation, the speaker profile provided by an additional spectral clustering is used. Meanwhile, the results of using the oracle speaker profile on Eval and Test Set are also provided to show the impact of speaker profile accuracy.</p> -<p><img alt="baseline result" src="_images/baseline_result.png" /></p> +<p><img alt="baseline_result" src="_images/baseline_result.png" /></p> </section> </section> -- Gitblit v1.9.1