deploy: bec9dce

_sources/melodic_analysis/pitch-extraction.ipynb

@@ -285,8 +285,8 @@
     "y = y[:3*sr]  # Getting just the first 3 seconds\n",
     "\n",
     "# Predict!\n",
-    "ftanet_pitch_track = ftanet_carnatic.predict(example.audio_path)\n",
-    "melodia_pitch_track = melodia.extract(example.audio_path)"
+    "ftanet_pitch_track = ftanet_carnatic.predict(y)\n",
+    "melodia_pitch_track = melodia.extract(y)"
    ]
   },
   {

_sources/separation/singing-voice-extraction.ipynb

@@ -95,6 +95,7 @@
     "        \"Live at Vani Mahal by Sanjay Subrahmanyan\", \"Sri Raghuvara Sugunaalaya\",\n",
     "        \"Sanjay Subrahmanyan - Sri Raghuvara Sugunaalaya.mp3\"\n",
     "    ),\n",
+    "    chunk_size=5,\n",
     ")"
    ]
   },
@@ -109,7 +110,7 @@
     "# And we play it!\n",
     "ipd.Audio(\n",
     "    data=separation,\n",
-    "    rate=44100,\n",
+    "    rate=separation_model.sample_rate,\n",
     ")"
    ]
   }

melodic_analysis/exploring-raga.html

@@ -1432,14 +1432,14 @@ <h3>3.1 Predominant pitch extraction<a class="headerlink" href="#predominant-pit
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2023-11-29 19:39:08.136033: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library &#39;libcudart.so.11.0&#39;; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/cv2/../../lib64:
-2023-11-29 19:39:08.136063: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2023-11-29 20:08:55.185275: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library &#39;libcudart.so.11.0&#39;; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/cv2/../../lib64:
+2023-11-29 20:08:55.185299: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2023-11-29 19:39:09.287305: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library &#39;libcuda.so.1&#39;; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/cv2/../../lib64:
-2023-11-29 19:39:09.287330: W tensorflow/stream_executor/cuda/cuda_driver.cc:269] failed call to cuInit: UNKNOWN ERROR (303)
-2023-11-29 19:39:09.287350: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (fv-az570-975): /proc/driver/nvidia/version does not exist
-2023-11-29 19:39:09.287533: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2023-11-29 20:08:56.310069: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library &#39;libcuda.so.1&#39;; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/cv2/../../lib64:
+2023-11-29 20:08:56.310092: W tensorflow/stream_executor/cuda/cuda_driver.cc:269] failed call to cuInit: UNKNOWN ERROR (303)
+2023-11-29 20:08:56.310111: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (fv-az985-106): /proc/driver/nvidia/version does not exist
+2023-11-29 20:08:56.310282: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA
 To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
 </pre></div>
 </div>
@@ -1727,41 +1727,41 @@ <h3>3.2 Visualising predominant pitch<a class="headerlink" href="#visualising-pr
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>{82.40364421278775: &#39;D2&#39;,
- 164.8072884255755: &#39;D2&#39;,
- 329.614576851151: &#39;D2&#39;,
- 659.229153702302: &#39;D2&#39;,
- 1318.458307404604: &#39;D2&#39;,
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>{73.4133009992652: &#39;P&#39;,
+ 146.8266019985304: &#39;P&#39;,
+ 293.6532039970608: &#39;P&#39;,
+ 587.3064079941216: &#39;P&#39;,
+ 1174.6128159882435: &#39;P&#39;,
+ 58.268175617345825: &#39;G2&#39;,
+ 116.53635123469165: &#39;G2&#39;,
+ 233.0727024693833: &#39;G2&#39;,
+ 466.1454049387666: &#39;G2&#39;,
+ 932.2908098775332: &#39;G2&#39;,
  48.9975: &#39;S&#39;,
  97.995: &#39;S&#39;,
  195.99: &#39;S&#39;,
  391.98: &#39;S&#39;,
  783.96: &#39;S&#39;,
- 54.997834212038505: &#39;R2&#39;,
- 109.99566842407701: &#39;R2&#39;,
- 219.99133684815402: &#39;R2&#39;,
- 439.98267369630804: &#39;R2&#39;,
- 879.965347392616: &#39;R2&#39;,
- 73.4133009992652: &#39;P&#39;,
- 146.8266019985304: &#39;P&#39;,
- 293.6532039970608: &#39;P&#39;,
- 587.3064079941216: &#39;P&#39;,
- 1174.6128159882435: &#39;P&#39;,
- 65.40381575469627: &#39;M1&#39;,
- 130.80763150939254: &#39;M1&#39;,
- 261.6152630187851: &#39;M1&#39;,
- 523.2305260375701: &#39;M1&#39;,
- 1046.46105207514: &#39;M1&#39;,
  87.30361988416256: &#39;N2&#39;,
  174.60723976832512: &#39;N2&#39;,
  349.21447953665023: &#39;N2&#39;,
  698.4289590733005: &#39;N2&#39;,
  1396.857918146601: &#39;N2&#39;,
- 58.268175617345825: &#39;G2&#39;,
- 116.53635123469165: &#39;G2&#39;,
- 233.0727024693833: &#39;G2&#39;,
- 466.1454049387666: &#39;G2&#39;,
- 932.2908098775332: &#39;G2&#39;}
+ 65.40381575469627: &#39;M1&#39;,
+ 130.80763150939254: &#39;M1&#39;,
+ 261.6152630187851: &#39;M1&#39;,
+ 523.2305260375701: &#39;M1&#39;,
+ 1046.46105207514: &#39;M1&#39;,
+ 54.997834212038505: &#39;R2&#39;,
+ 109.99566842407701: &#39;R2&#39;,
+ 219.99133684815402: &#39;R2&#39;,
+ 439.98267369630804: &#39;R2&#39;,
+ 879.965347392616: &#39;R2&#39;,
+ 82.40364421278775: &#39;D2&#39;,
+ 164.8072884255755: &#39;D2&#39;,
+ 329.614576851151: &#39;D2&#39;,
+ 659.229153702302: &#39;D2&#39;,
+ 1318.458307404604: &#39;D2&#39;}
 </pre></div>
 </div>
 </div>
@@ -2200,7 +2200,7 @@ <h4>Fixing tonic errors in folded plots<a class="headerlink" href="#fixing-tonic
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&lt;matplotlib.lines.Line2D at 0x7f0b1cebfa30&gt;]
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&lt;matplotlib.lines.Line2D at 0x7fa32814a550&gt;]
 </pre></div>
 </div>
 <img alt="../_images/exploring-raga_110_1.png" src="../_images/exploring-raga_110_1.png" />
@@ -2317,7 +2317,7 @@ <h4>Fixing tonic errors in folded plots<a class="headerlink" href="#fixing-tonic
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&lt;matplotlib.lines.Line2D at 0x7f0b1cebafa0&gt;]
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&lt;matplotlib.lines.Line2D at 0x7fa32813ef70&gt;]
 </pre></div>
 </div>
 <img alt="../_images/exploring-raga_120_1.png" src="../_images/exploring-raga_120_1.png" />
@@ -2666,8 +2666,8 @@ <h3>3.5 Pitch density across rāga<a class="headerlink" href="#pitch-density-acr
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Rītigauḷa: {&#39;D2&#39;, &#39;S&#39;, &#39;R2&#39;, &#39;P&#39;, &#39;M1&#39;, &#39;N2&#39;, &#39;G2&#39;}
-Bhairavi: {&#39;D2&#39;, &#39;S&#39;, &#39;R2&#39;, &#39;P&#39;, &#39;M1&#39;, &#39;D1&#39;, &#39;N2&#39;, &#39;G2&#39;}
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Rītigauḷa: {&#39;P&#39;, &#39;G2&#39;, &#39;S&#39;, &#39;N2&#39;, &#39;M1&#39;, &#39;R2&#39;, &#39;D2&#39;}
+Bhairavi: {&#39;D1&#39;, &#39;P&#39;, &#39;G2&#39;, &#39;S&#39;, &#39;N2&#39;, &#39;M1&#39;, &#39;R2&#39;, &#39;D2&#39;}
 </pre></div>
 </div>
 </div>

melodic_analysis/pitch-extraction.html

@@ -779,8 +779,8 @@ <h2>FTANet-Carnatic<a class="headerlink" href="#ftanet-carnatic" title="Permalin
 <span class="n">y</span> <span class="o">=</span> <span class="n">y</span><span class="p">[:</span><span class="mi">3</span><span class="o">*</span><span class="n">sr</span><span class="p">]</span>  <span class="c1"># Getting just the first 3 seconds</span>
 
 <span class="c1"># Predict!</span>
-<span class="n">ftanet_pitch_track</span> <span class="o">=</span> <span class="n">ftanet_carnatic</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">example</span><span class="o">.</span><span class="n">audio_path</span><span class="p">)</span>
-<span class="n">melodia_pitch_track</span> <span class="o">=</span> <span class="n">melodia</span><span class="o">.</span><span class="n">extract</span><span class="p">(</span><span class="n">example</span><span class="o">.</span><span class="n">audio_path</span><span class="p">)</span>
+<span class="n">ftanet_pitch_track</span> <span class="o">=</span> <span class="n">ftanet_carnatic</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">y</span><span class="p">)</span>
+<span class="n">melodia_pitch_track</span> <span class="o">=</span> <span class="n">melodia</span><span class="o">.</span><span class="n">extract</span><span class="p">(</span><span class="n">y</span><span class="p">)</span>
 </pre></div>
 </div>
 </div>

melodic_analysis/raga-recognition.html

@@ -623,19 +623,16 @@ <h2> Contents </h2>
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+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 20.4M/20.4M [00:00&lt;00:00, 49.2MB/s]
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-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[2023-11-29 19:40:46,109] WARNING [compiam.melody.raga_recognition.deepsrgm.download_model:155] Files downloaded and extracted successfully.
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[2023-11-29 20:10:05,919] WARNING [compiam.melody.raga_recognition.deepsrgm.download_model:155] Files downloaded and extracted successfully.
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