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Fix for Issue#43 -- figsize is taken into account in show_spectrogram() #44

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Fix for Issue#43 -- figsize is taken into account in show_spectrogram() #44

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bbacac6
Fix for Issue#43
Aug 10, 2020
2f0b961
Notebooks cleaned
Aug 10, 2020
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34 changes: 28 additions & 6 deletions docs/Augment_Overview.html
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38 changes: 38 additions & 0 deletions docs/Augment_Pipeline.html
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Expand Up @@ -43,6 +43,25 @@
</div>
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<div class="output_subarea output_stream output_stderr output_text">
<pre>/home/condor/anaconda3/lib/python3.7/site-packages/librosa/util/decorators.py:9: NumbaDeprecationWarning: <span class="ansi-bold">An import was requested from a module that has moved location.
Import requested from: &#39;numba.decorators&#39;, please update to use &#39;numba.core.decorators&#39; or pin to Numba version 0.48.0. This alias will not be present in Numba version 0.50.0.</span>
from numba.decorators import jit as optional_jit
/home/condor/anaconda3/lib/python3.7/site-packages/librosa/util/decorators.py:9: NumbaDeprecationWarning: <span class="ansi-bold">An import was requested from a module that has moved location.
Import of &#39;jit&#39; requested from: &#39;numba.decorators&#39;, please update to use &#39;numba.core.decorators&#39; or pin to Numba version 0.48.0. This alias will not be present in Numba version 0.50.0.</span>
from numba.decorators import jit as optional_jit
</pre>
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Expand All @@ -60,6 +79,25 @@
</div>
</div>

<div class="output_wrapper">
<div class="output">

<div class="output_area">

<div class="output_subarea output_text output_error">
<pre>
<span class="ansi-red-fg">---------------------------------------------------------------------------</span>
<span class="ansi-red-fg">ModuleNotFoundError</span> Traceback (most recent call last)
<span class="ansi-green-fg">&lt;ipython-input-3-bfe911a2b34e&gt;</span> in <span class="ansi-cyan-fg">&lt;module&gt;</span>
<span class="ansi-green-fg">----&gt; 1</span><span class="ansi-red-fg"> </span><span class="ansi-green-fg">from</span> setup_example <span class="ansi-green-fg">import</span> <span class="ansi-blue-fg">*</span>

<span class="ansi-red-fg">ModuleNotFoundError</span>: No module named &#39;setup_example&#39;</pre>
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56 changes: 44 additions & 12 deletions docs/Augment_Preprocess.html
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Expand Up @@ -24,6 +24,25 @@

<div class="cell border-box-sizing code_cell rendered">

<div class="output_wrapper">
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<div class="output_subarea output_stream output_stderr output_text">
<pre>/home/condor/anaconda3/lib/python3.7/site-packages/librosa/util/decorators.py:9: NumbaDeprecationWarning: <span class="ansi-bold">An import was requested from a module that has moved location.
Import requested from: &#39;numba.decorators&#39;, please update to use &#39;numba.core.decorators&#39; or pin to Numba version 0.48.0. This alias will not be present in Numba version 0.50.0.</span>
from numba.decorators import jit as optional_jit
/home/condor/anaconda3/lib/python3.7/site-packages/librosa/util/decorators.py:9: NumbaDeprecationWarning: <span class="ansi-bold">An import was requested from a module that has moved location.
Import of &#39;jit&#39; requested from: &#39;numba.decorators&#39;, please update to use &#39;numba.core.decorators&#39; or pin to Numba version 0.48.0. This alias will not be present in Numba version 0.50.0.</span>
from numba.decorators import jit as optional_jit
</pre>
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Expand Down Expand Up @@ -55,6 +74,25 @@
</div>
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<pre>
<span class="ansi-red-fg">---------------------------------------------------------------------------</span>
<span class="ansi-red-fg">ModuleNotFoundError</span> Traceback (most recent call last)
<span class="ansi-green-fg">&lt;ipython-input-4-bfe911a2b34e&gt;</span> in <span class="ansi-cyan-fg">&lt;module&gt;</span>
<span class="ansi-green-fg">----&gt; 1</span><span class="ansi-red-fg"> </span><span class="ansi-green-fg">from</span> setup_example <span class="ansi-green-fg">import</span> <span class="ansi-blue-fg">*</span>

<span class="ansi-red-fg">ModuleNotFoundError</span>: No module named &#39;setup_example&#39;</pre>
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{% endraw %}

Expand Down Expand Up @@ -173,8 +211,7 @@ <h3 id="Trim-Silence">Trim Silence<a class="anchor-link" href="#Trim-Silence"> <

<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#test that nothing is removed from audio that doesnt contain silence</span>
<span class="n">audio_orig</span> <span class="o">=</span> <span class="n">GenExample</span><span class="o">.</span><span class="n">audio_sc</span><span class="p">()</span>
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">audio_orig</span> <span class="o">=</span> <span class="n">GenExample</span><span class="o">.</span><span class="n">audio_sc</span><span class="p">()</span>
<span class="n">test_aud</span> <span class="o">=</span> <span class="n">AudioTensor</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">rand_like</span><span class="p">(</span><span class="n">audio_orig</span><span class="p">),</span> <span class="mi">16000</span><span class="p">)</span>
<span class="n">orig_samples</span> <span class="o">=</span> <span class="n">test_aud</span><span class="o">.</span><span class="n">nsamples</span>
<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Random Noise, no silence, </span><span class="si">{</span><span class="n">orig_samples</span><span class="si">}</span><span class="s2"> samples&quot;</span><span class="p">)</span>
Expand Down Expand Up @@ -216,8 +253,7 @@ <h3 id="Trim-Silence">Trim Silence<a class="anchor-link" href="#Trim-Silence"> <

<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># trim silence from a multichannel clip, needs more extensive testing</span>
<span class="n">silence_mc</span> <span class="o">=</span> <span class="n">RemoveSilence</span><span class="p">(</span><span class="n">threshold</span><span class="o">=</span><span class="mi">20</span><span class="p">,</span> <span class="n">pad_ms</span><span class="o">=</span><span class="mi">20</span><span class="p">)</span>
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">silence_mc</span> <span class="o">=</span> <span class="n">RemoveSilence</span><span class="p">(</span><span class="n">threshold</span><span class="o">=</span><span class="mi">20</span><span class="p">,</span> <span class="n">pad_ms</span><span class="o">=</span><span class="mi">20</span><span class="p">)</span>
<span class="n">inp</span><span class="p">,</span> <span class="n">out</span> <span class="o">=</span> <span class="n">show_transform</span><span class="p">(</span><span class="n">silence_mc</span><span class="p">,</span> <span class="n">GenExample</span><span class="o">.</span><span class="n">audio_mc</span><span class="p">)</span>
</pre></div>

Expand Down Expand Up @@ -392,8 +428,7 @@ <h2 id="Resample" class="doc_header"><code>class</code> <code>Resample</code><a

<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#Make sure if old and new sample rates are the same, a new identical AudioTensor is returned</span>
<span class="n">no_resample_needed</span> <span class="o">=</span> <span class="n">Resample</span><span class="p">(</span><span class="n">audio_orig</span><span class="o">.</span><span class="n">sr</span><span class="p">)</span>
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">no_resample_needed</span> <span class="o">=</span> <span class="n">Resample</span><span class="p">(</span><span class="n">audio_orig</span><span class="o">.</span><span class="n">sr</span><span class="p">)</span>
<span class="n">inp</span><span class="p">,</span> <span class="n">out</span> <span class="o">=</span> <span class="n">show_transform</span><span class="p">(</span><span class="n">no_resample_needed</span><span class="p">,</span> <span class="n">GenExample</span><span class="o">.</span><span class="n">audio_sc</span><span class="p">,</span> <span class="n">hear</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">test_eq</span><span class="p">(</span><span class="n">inp</span><span class="o">.</span><span class="n">sr</span><span class="p">,</span> <span class="n">out</span><span class="o">.</span><span class="n">sr</span><span class="p">)</span>
<span class="n">test_eq</span><span class="p">(</span><span class="n">inp</span><span class="p">,</span> <span class="n">out</span><span class="p">)</span>
Expand Down Expand Up @@ -471,8 +506,7 @@ <h2 id="Resample" class="doc_header"><code>class</code> <code>Resample</code><a

<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#test and hear realistic sample rates</span>
<span class="n">audio_orig</span> <span class="o">=</span> <span class="n">GenExample</span><span class="o">.</span><span class="n">audio_sc</span><span class="p">()</span>
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">audio_orig</span> <span class="o">=</span> <span class="n">GenExample</span><span class="o">.</span><span class="n">audio_sc</span><span class="p">()</span>
<span class="n">orig_sr</span> <span class="o">=</span> <span class="n">audio_orig</span><span class="o">.</span><span class="n">sr</span>
<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Original Sample Rate </span><span class="si">{</span><span class="n">orig_sr</span><span class="si">}</span><span class="s2"> </span><span class="se">\n</span><span class="s2">&quot;</span><span class="p">)</span>
<span class="k">for</span> <span class="n">rate</span> <span class="ow">in</span> <span class="p">[</span><span class="mi">2000</span><span class="p">,</span><span class="mi">4000</span><span class="p">,</span><span class="mi">8000</span><span class="p">,</span><span class="mi">22050</span><span class="p">,</span><span class="mi">44100</span><span class="p">]:</span>
Expand Down Expand Up @@ -684,8 +718,7 @@ <h2 id="Resample" class="doc_header"><code>class</code> <code>Resample</code><a

<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#resample a multichannel audio</span>
<span class="n">resampler</span> <span class="o">=</span> <span class="n">Resample</span><span class="p">(</span><span class="mi">8000</span><span class="p">)</span>
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">resampler</span> <span class="o">=</span> <span class="n">Resample</span><span class="p">(</span><span class="mi">8000</span><span class="p">)</span>
<span class="n">inp</span><span class="p">,</span> <span class="n">out</span> <span class="o">=</span> <span class="n">show_transform</span><span class="p">(</span><span class="n">resampler</span><span class="p">,</span> <span class="n">GenExample</span><span class="o">.</span><span class="n">audio_mc</span><span class="p">,</span> <span class="n">show</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">hear</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">test_eq</span><span class="p">(</span><span class="n">inp</span><span class="o">.</span><span class="n">nsamples</span><span class="o">//</span><span class="mi">2</span><span class="p">,</span> <span class="n">out</span><span class="o">.</span><span class="n">nsamples</span><span class="p">)</span>
<span class="n">test_eq</span><span class="p">(</span><span class="n">inp</span><span class="o">.</span><span class="n">nchannels</span><span class="p">,</span> <span class="n">out</span><span class="o">.</span><span class="n">nchannels</span><span class="p">)</span>
Expand Down Expand Up @@ -768,8 +801,7 @@ <h4 id="Resample-Timing-Tests">Resample Timing Tests<a class="anchor-link" href=

<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Polyphase resampling&#39;s speed is dependent on the GCD between old and new rate. For almost all used sample rates it</span>
<span class="c1"># will be very fast and much better than any FFT based method. It is slow however in the unlikely event that the </span>
<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># will be very fast and much better than any FFT based method. It is slow however in the unlikely event that the </span>
<span class="c1"># GCD is small (demonstrated below w GCD of 1 for last 2 examples)</span>
<span class="n">common_downsample</span> <span class="o">=</span> <span class="n">Resample</span><span class="p">(</span><span class="mi">8000</span><span class="p">)</span>
<span class="n">slow_downsample</span> <span class="o">=</span> <span class="n">Resample</span><span class="p">(</span><span class="mi">8001</span><span class="p">)</span>
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