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3.1 Predominant pitch extraction -
2023-11-29 19:39:08.136033: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; 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.
+
2023-11-29 20:08:55.185275: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; 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.
 

 

-
2023-11-29 19:39:09.287305: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcuda.so.1'; 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
+
2023-11-29 20:08:56.310069: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcuda.so.1'; 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.
 

 

@@ -1727,41 +1727,41 @@ 
3.2 Visualising predominant pitch
-
{82.40364421278775: 'D2',
- 164.8072884255755: 'D2',
- 329.614576851151: 'D2',
- 659.229153702302: 'D2',
- 1318.458307404604: 'D2',
+
{73.4133009992652: 'P',
+ 146.8266019985304: 'P',
+ 293.6532039970608: 'P',
+ 587.3064079941216: 'P',
+ 1174.6128159882435: 'P',
+ 58.268175617345825: 'G2',
+ 116.53635123469165: 'G2',
+ 233.0727024693833: 'G2',
+ 466.1454049387666: 'G2',
+ 932.2908098775332: 'G2',
  48.9975: 'S',
  97.995: 'S',
  195.99: 'S',
  391.98: 'S',
  783.96: 'S',
- 54.997834212038505: 'R2',
- 109.99566842407701: 'R2',
- 219.99133684815402: 'R2',
- 439.98267369630804: 'R2',
- 879.965347392616: 'R2',
- 73.4133009992652: 'P',
- 146.8266019985304: 'P',
- 293.6532039970608: 'P',
- 587.3064079941216: 'P',
- 1174.6128159882435: 'P',
- 65.40381575469627: 'M1',
- 130.80763150939254: 'M1',
- 261.6152630187851: 'M1',
- 523.2305260375701: 'M1',
- 1046.46105207514: 'M1',
  87.30361988416256: 'N2',
  174.60723976832512: 'N2',
  349.21447953665023: 'N2',
  698.4289590733005: 'N2',
  1396.857918146601: 'N2',
- 58.268175617345825: 'G2',
- 116.53635123469165: 'G2',
- 233.0727024693833: 'G2',
- 466.1454049387666: 'G2',
- 932.2908098775332: 'G2'}
+ 65.40381575469627: 'M1',
+ 130.80763150939254: 'M1',
+ 261.6152630187851: 'M1',
+ 523.2305260375701: 'M1',
+ 1046.46105207514: 'M1',
+ 54.997834212038505: 'R2',
+ 109.99566842407701: 'R2',
+ 219.99133684815402: 'R2',
+ 439.98267369630804: 'R2',
+ 879.965347392616: 'R2',
+ 82.40364421278775: 'D2',
+ 164.8072884255755: 'D2',
+ 329.614576851151: 'D2',
+ 659.229153702302: 'D2',
+ 1318.458307404604: 'D2'}
 

 

 

@@ -2200,7 +2200,7 @@ 
Fixing tonic errors in folded plots
-
[<matplotlib.lines.Line2D at 0x7f0b1cebfa30>]
+
[<matplotlib.lines.Line2D at 0x7fa32814a550>]
 

 

 ../_images/exploring-raga_110_1.png
@@ -2317,7 +2317,7 @@ 
Fixing tonic errors in folded plots
-
[<matplotlib.lines.Line2D at 0x7f0b1cebafa0>]
+
[<matplotlib.lines.Line2D at 0x7fa32813ef70>]
 

 

 ../_images/exploring-raga_120_1.png
@@ -2666,8 +2666,8 @@ 
3.5 Pitch density across rāga
-
Rītigauḷa: {'D2', 'S', 'R2', 'P', 'M1', 'N2', 'G2'}
-Bhairavi: {'D2', 'S', 'R2', 'P', 'M1', 'D1', 'N2', 'G2'}
+
Rītigauḷa: {'P', 'G2', 'S', 'N2', 'M1', 'R2', 'D2'}
+Bhairavi: {'D1', 'P', 'G2', 'S', 'N2', 'M1', 'R2', 'D2'}
 

 

 

diff --git a/melodic_analysis/pitch-extraction.html b/melodic_analysis/pitch-extraction.html
index a856fff..dbb36eb 100644
--- a/melodic_analysis/pitch-extraction.html
+++ b/melodic_analysis/pitch-extraction.html
@@ -779,8 +779,8 @@ 
FTANet-Carnaticy = y[:3*sr]  # Getting just the first 3 seconds
 
 # Predict!
-ftanet_pitch_track = ftanet_carnatic.predict(example.audio_path)
-melodia_pitch_track = melodia.extract(example.audio_path)
+ftanet_pitch_track = ftanet_carnatic.predict(y)
+melodia_pitch_track = melodia.extract(y)
 

 

 

diff --git a/melodic_analysis/raga-recognition.html b/melodic_analysis/raga-recognition.html
index fc987da..4445af5 100644
--- a/melodic_analysis/raga-recognition.html
+++ b/melodic_analysis/raga-recognition.html
@@ -623,19 +623,16 @@ 
 Contents 

 
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100%|██████████| 20.4M/20.4M [00:00<00:00, 54.2MB/s]
+
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-

-

-

-
[2023-11-29 19:40:46,109] WARNING [compiam.melody.raga_recognition.deepsrgm.download_model:155] Files downloaded and extracted successfully.
+
[2023-11-29 20:10:05,919] WARNING [compiam.melody.raga_recognition.deepsrgm.download_model:155] Files downloaded and extracted successfully.
 

 

 

diff --git a/searchindex.js b/searchindex.js
index ad88855..f940f9f 100644
--- a/searchindex.js
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the Dunya Corpora","Datasets","Carnatic Music","Hindustani music","Indian Art Music","compIAM package","Python for audio processing","Setting everything up","Welcome!","Exploring R\u0101ga Performance in Carnatic Music","Melodic pattern dicovery","Melodic transcription","Pitch extraction","Automatic raga recognition","Tonic identification","Acknowledgements","Citing this work","References","Meter analysis","Percussion transcription","Singing voice extraction","Music segmentation","Stroke 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\ No newline at end of file
diff --git a/separation/singing-voice-extraction.html b/separation/singing-voice-extraction.html
index f9e6dec..05a3ff8 100644
--- a/separation/singing-voice-extraction.html
+++ b/separation/singing-voice-extraction.html
@@ -619,6 +619,7 @@ 
Leakage-aware source separation model"Live at Vani Mahal by Sanjay Subrahmanyan", "Sri Raghuvara Sugunaalaya",
         "Sanjay Subrahmanyan - Sri Raghuvara Sugunaalaya.mp3"
     ),
+    chunk_size=5,
 )
 

 

@@ -631,18 +632,26 @@ 
Leakage-aware source separation model# And we play it!
 ipd.Audio(
     data=separation,
-    rate=44100,
+    rate=separation_model.sample_rate,
 )
 

 

 

 

-

-
-

+
---------------------------------------------------------------------------
+NameError                                 Traceback (most recent call last)
+Cell In [5], line 5
+      1 import IPython.display as ipd
+      3 # And we play it!
+      4 ipd.Audio(
+----> 5     data=separation,
+      6     rate=separation_model.sample_rate,
+      7 )
+
+NameError: name 'separation' is not defined
+

+

+