mirror of
https://github.com/wassname/TTS.git
synced 2026-10-27 12:30:27 +08:00
Add notebook to check audio parameters for a dataset.
This commit is contained in:
1 parent
1dd8b134c6
commit
5e6e3d166a
1 file changed
+780
@@ -0,0 +1,780 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"/home/erogol/projects\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"cd /home/erogol/projects/"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 2,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stderr",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"/home/erogol/miniconda3/lib/python3.7/site-packages/matplotlib/__init__.py:1405: UserWarning: \n",
|
||||
"This call to matplotlib.use() has no effect because the backend has already\n",
|
||||
"been chosen; matplotlib.use() must be called *before* pylab, matplotlib.pyplot,\n",
|
||||
"or matplotlib.backends is imported for the first time.\n",
|
||||
"\n",
|
||||
" warnings.warn(_use_error_msg)\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"%matplotlib inline\n",
|
||||
"from TTS.utils.audio import AudioProcessor\n",
|
||||
"from TTS.utils.visual import plot_spectrogram\n",
|
||||
"from TTS.utils.generic_utils import load_config\n",
|
||||
"import IPython.display as ipd"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 3,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"config_path = \"/media/erogol/data_ssd/Data/models/tr/TTS-phoneme-January-14-2019_06+52PM-4ad64a7/config.json\"\n",
|
||||
"data_path = \"/media/erogol/data_ssd/Data/TR/wavs/\"\n",
|
||||
"CONFIG = load_config(config_path)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"### Setup Audio Processor\n",
|
||||
"Play with the AP parameters until you find a good fit with the synthesis speech below. "
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 67,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
" > Setting up Audio Processor...\n",
|
||||
" | > fft size: 2048, hop length: 275, win length: 1102\n",
|
||||
" | > Audio Processor attributes.\n",
|
||||
" | > bits:None\n",
|
||||
" | > sample_rate:22050\n",
|
||||
" | > num_mels:80\n",
|
||||
" | > min_level_db:-100\n",
|
||||
" | > frame_shift_ms:12.5\n",
|
||||
" | > frame_length_ms:50\n",
|
||||
" | > ref_level_db:40\n",
|
||||
" | > num_freq:1025\n",
|
||||
" | > power:1.1\n",
|
||||
" | > preemphasis:0.99\n",
|
||||
" | > griffin_lim_iters:30\n",
|
||||
" | > signal_norm:True\n",
|
||||
" | > symmetric_norm:False\n",
|
||||
" | > mel_fmin:0\n",
|
||||
" | > mel_fmax:None\n",
|
||||
" | > max_norm:1.0\n",
|
||||
" | > clip_norm:True\n",
|
||||
" | > do_trim_silence:True\n",
|
||||
" | > n_fft:2048\n",
|
||||
" | > hop_length:275\n",
|
||||
" | > win_length:1102\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"audio={\n",
|
||||
" 'audio_processor': 'audio',\n",
|
||||
" 'num_mels': 80, # In general, you don'tneed to change it \n",
|
||||
" 'num_freq': 1025, # In general, you don'tneed to change it \n",
|
||||
" 'sample_rate': 22050, # It depends to the sample rate of the dataset.\n",
|
||||
" 'frame_length_ms': 50, # In general, you don'tneed to change it \n",
|
||||
" 'frame_shift_ms': 12.5, # In general, you don'tneed to change it \n",
|
||||
" 'preemphasis': 0.99, # In general, 0 gives better voice recovery but makes traning harder. If your model does not train, try 0.97 - 0.99.\n",
|
||||
" 'min_level_db': -100,\n",
|
||||
" 'ref_level_db': 40, # It is the base DB, higher until you remove the background noise in the spectrogram and then lower until you hear a better speech below.\n",
|
||||
" 'power': 1.1, # Change this value and listen the synthesized voice. 1.2 - 1.5 are some resonable values.\n",
|
||||
" 'griffin_lim_iters': 30, # It does not give any imporvement for values > 60\n",
|
||||
" 'signal_norm': True, # This is more about your model. It does not give any change for the synthsis performance.\n",
|
||||
" 'symmetric_norm': False, # Same as above\n",
|
||||
" 'max_norm': 1, # Same as above\n",
|
||||
" 'clip_norm': True, # Same as above\n",
|
||||
" 'mel_fmin': None, # You can play with this and check mel-spectrogram based voice synthesis below.\n",
|
||||
" 'mel_fmax': None, # You can play with this and check mel-spectrogram based voice synthesis below.\n",
|
||||
" 'do_trim_silence': True} # If you dataset has some silience at the beginning or end, this trims it. Check the AP.load_wav() below,if it causes any difference for the loaded audio file.\n",
|
||||
"\n",
|
||||
"AP = AudioProcessor(**audio);"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"### Check audio loading "
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 71,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"\n",
|
||||
" <audio controls=\"controls\" >\n",
|
||||
" <source src=\"data:audio/wav;base64,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 truncated
|
||||
" Your browser does not support the audio element.\n",
|
||||
" </audio>\n",
|
||||
" "
|
||||
],
|
||||
"text/plain": [
|
||||
"<IPython.lib.display.Audio object>"
|
||||
]
|
||||
},
|
||||
"execution_count": 71,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"wav = AP.load_wav(data_path + \"5_5uIl38UFVh0.wav\")\n",
|
||||
"ipd.Audio(data=wav, rate=AP.sample_rate) "
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"### Generate Mel-Spectrogram and Re-synthesis with GL"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 69,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Max: 0.6203846939023735\n",
|
||||
"Min: 0.0\n",
|
||||
"Mean: 0.23149373486123542\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"\n",
|
||||
" <audio controls=\"controls\" >\n",
|
||||
" <source src=\"data:audio/wav;base64,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 truncated
|
||||
" Your browser does not support the audio element.\n",
|
||||
" </audio>\n",
|
||||
" "
|
||||
],
|
||||
"text/plain": [
|
||||
"<IPython.lib.display.Audio object>"
|
||||
]
|
||||
},
|
||||
"execution_count": 69,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": "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 truncated
|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x7f2e6c3a7908>"
|
||||
]
|
||||
},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"mel = AP.melspectrogram(wav)\n",
|
||||
"print(\"Max:\", mel.max())\n",
|
||||
"print(\"Min:\", mel.min())\n",
|
||||
"print(\"Mean:\", mel.mean())\n",
|
||||
"plot_spectrogram(mel.T, AP);\n",
|
||||
"\n",
|
||||
"wav_gen = AP.inv_mel_spectrogram(mel)\n",
|
||||
"ipd.Audio(wav_gen, rate=AP.sample_rate)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"### Generate Linear-Spectrogram and Re-synthesis with GL"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 72,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Max: 0.8925319\n",
|
||||
"Min: 0.0\n",
|
||||
"Mean: 0.41698578\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"\n",
|
||||
" <audio controls=\"controls\" >\n",
|
||||
" <source src=\"data:audio/wav;base64,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 truncated
|
||||
" Your browser does not support the audio element.\n",
|
||||
" </audio>\n",
|
||||
" "
|
||||
],
|
||||
"text/plain": [
|
||||
"<IPython.lib.display.Audio object>"
|
||||
]
|
||||
},
|
||||
"execution_count": 72,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": "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 truncated
|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x7f2e5e591ac8>"
|
||||
]
|
||||
},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"spec = AP.spectrogram(wav)\n",
|
||||
"print(\"Max:\", spec.max())\n",
|
||||
"print(\"Min:\", spec.min())\n",
|
||||
"print(\"Mean:\", spec.mean())\n",
|
||||
"plot_spectrogram(spec.T, AP);\n",
|
||||
"\n",
|
||||
"wav_gen = AP.inv_spectrogram(spec)\n",
|
||||
"ipd.Audio(wav_gen, rate=AP.sample_rate)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"### Compare values for a certain parameter\n",
|
||||
"\n",
|
||||
"Optimize your parameters by comparing different values per parameter at a time."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 54,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
" > Setting up Audio Processor...\n",
|
||||
" | > fft size: 2048, hop length: 275, win length: 1102\n",
|
||||
" | > Audio Processor attributes.\n",
|
||||
" | > bits:None\n",
|
||||
" | > sample_rate:22050\n",
|
||||
" | > num_mels:80\n",
|
||||
" | > min_level_db:-100\n",
|
||||
" | > frame_shift_ms:12.5\n",
|
||||
" | > frame_length_ms:50\n",
|
||||
" | > ref_level_db:40\n",
|
||||
" | > num_freq:1025\n",
|
||||
" | > power:1.1\n",
|
||||
" | > preemphasis:0.99\n",
|
||||
" | > griffin_lim_iters:30\n",
|
||||
" | > signal_norm:True\n",
|
||||
" | > symmetric_norm:False\n",
|
||||
" | > mel_fmin:0\n",
|
||||
" | > mel_fmax:None\n",
|
||||
" | > max_norm:1.0\n",
|
||||
" | > clip_norm:True\n",
|
||||
" | > do_trim_silence:True\n",
|
||||
" | > n_fft:2048\n",
|
||||
" | > hop_length:275\n",
|
||||
" | > win_length:1102\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"audio={\n",
|
||||
" 'audio_processor': 'audio',\n",
|
||||
" 'num_mels': 80, # In general, you don'tneed to change it \n",
|
||||
" 'num_freq': 1025, # In general, you don'tneed to change it \n",
|
||||
" 'sample_rate': 22050, # It depends to the sample rate of the dataset.\n",
|
||||
" 'frame_length_ms': 50, # In general, you don'tneed to change it \n",
|
||||
" 'frame_shift_ms': 12.5, # In general, you don'tneed to change it \n",
|
||||
" 'preemphasis': 0.99, # In general, 0 gives better voice recovery but makes traning harder. If your model does not train, try 0.97 - 0.99.\n",
|
||||
" 'min_level_db': -100,\n",
|
||||
" 'ref_level_db': 40, # It is the base DB, higher until you remove the background noise in the spectrogram and then lower until you hear a better speech below.\n",
|
||||
" 'power': 1.1, # Change this value and listen the synthesized voice. 1.2 - 1.5 are some resonable values.\n",
|
||||
" 'griffin_lim_iters': 30, # It does not give any imporvement for values > 60\n",
|
||||
" 'signal_norm': True, # This is more about your model. It does not give any change for the synthsis performance.\n",
|
||||
" 'symmetric_norm': False, # Same as above\n",
|
||||
" 'max_norm': 1, # Same as above\n",
|
||||
" 'clip_norm': True, # Same as above\n",
|
||||
" 'mel_fmin': None, # You can play with this and check mel-spectrogram based voice synthesis below.\n",
|
||||
" 'mel_fmax': None, # You can play with this and check mel-spectrogram based voice synthesis below.\n",
|
||||
" 'do_trim_silence': True} # If you dataset has some silience at the beginning or end, this trims it. Check the AP.load_wav() below,if it causes any difference for the loaded audio file.\n",
|
||||
"\n",
|
||||
"AP = AudioProcessor(**audio);"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 55,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from librosa import display\n",
|
||||
"from matplotlib import pylab as plt\n",
|
||||
"import IPython\n",
|
||||
"plt.rcParams['figure.figsize'] = (20.0, 16.0)\n",
|
||||
"\n",
|
||||
"def compare_values(attribute, values, file):\n",
|
||||
" \"\"\"\n",
|
||||
" attributes (str): the names of the attribute you like to test.\n",
|
||||
" values (list): list of values to compare.\n",
|
||||
" file (str): file name to perform the tests.\n",
|
||||
" \"\"\"\n",
|
||||
" wavs = []\n",
|
||||
" for idx, val in enumerate(values):\n",
|
||||
" set_val_cmd = \"AP.{}={}\".format(attribute, val)\n",
|
||||
" exec(set_val_cmd)\n",
|
||||
" wav = AP.load_wav(data_path + file)\n",
|
||||
" spec = AP.spectrogram(wav)\n",
|
||||
" spec_norm = AP._denormalize(spec.T)\n",
|
||||
" plt.subplot(len(values), 2, 2*idx + 1)\n",
|
||||
" plt.imshow(spec_norm.T, aspect=\"auto\", origin=\"lower\")\n",
|
||||
" # plt.colorbar()\n",
|
||||
" plt.tight_layout()\n",
|
||||
" wav_gen = AP.inv_spectrogram(spec)\n",
|
||||
" wavs.append(wav_gen)\n",
|
||||
" plt.subplot(len(values), 2, 2*idx + 2)\n",
|
||||
" display.waveplot(wav, alpha=0.5)\n",
|
||||
" display.waveplot(wav_gen, alpha=0.25)\n",
|
||||
" plt.title(\"{}={}\".format(attribute, val))\n",
|
||||
" plt.tight_layout()\n",
|
||||
" \n",
|
||||
" wav = AP.load_wav(data_path + file)\n",
|
||||
" print(\" > Ground-truth\")\n",
|
||||
" IPython.display.display(IPython.display.Audio(wav, rate=AP.sample_rate))\n",
|
||||
" \n",
|
||||
" for idx, wav_gen in enumerate(wavs):\n",
|
||||
" val = values[idx]\n",
|
||||
" print(\" > {} = {}\".format(attribute, val))\n",
|
||||
" IPython.display.display(IPython.display.Audio(wav_gen, rate=AP.sample_rate))"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 56,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
" > Ground-truth\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"\n",
|
||||
" <audio controls=\"controls\" >\n",
|
||||
" <source src=\"data:audio/wav;base64,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 truncated
|
||||
" Your browser does not support the audio element.\n",
|
||||
" </audio>\n",
|
||||
" "
|
||||
],
|
||||
"text/plain": [
|
||||
"<IPython.lib.display.Audio object>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
" > preemphasis = 0\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"\n",
|
||||
" <audio controls=\"controls\" >\n",
|
||||
" <source src=\"data:audio/wav;base64,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 truncated
|
||||
" Your browser does not support the audio element.\n",
|
||||
" </audio>\n",
|
||||
" "
|
||||
],
|
||||
"text/plain": [
|
||||
"<IPython.lib.display.Audio object>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
" > preemphasis = 0.97\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"\n",
|
||||
" <audio controls=\"controls\" >\n",
|
||||
" <source src=\"data:audio/wav;base64,UklGRi41AgBXQVZFZm10IBAAAAABAAEAIlYAAESsAAACABAAZGF0YQo1AgAhAH8AOAAVASoCIAF5ANMAOwCF/jz+cP6q/Xv8sP10/Tj7HftX+Uz4vPe59Tr3+/fJ+Gz3I/jL+BH5iPl/+P/51PmU+Qf6cfwp/jv/mgBsAIYA5f/w/1wAjgLZArUDdgPeAygE1ANDBakFZgbVBYoEGgMBAlQA9QCZAcQB9wEpAbYBMwDb/nb+RP7d/gX/Jv66/XH9Afyx+9T6dvn2+HX4S/iH+QL7gft4/DT8Vvy+/Gn9u/0K//cALQCSAWIDzATNBF0FWgY/BxQHsQbgCOMKUQvoC6kM4gnCB6sH3QdpB3cHXgejBqwH7QUCBqgGRQfpBNoDHQNIAv8D8gRbB1oGRAV2BPkDfQIgAl0CtgOfA0AE1gWwBT0GRAZIBrMF2AUbBK0CVwIsAmoCIwKtArsBHQNOAiAC9QBp/zj/ov2a/fn8UP5r/qT9O/1E/Uf7hfpH+ov5L/sU+xz8Lf1s/Vn9B/3P/DP9ePwY/EL9Cv1N/sP9I/6x/m/+QP3R/a39x/yz/D39cf72/Ub+7/1s/ET7S/q5+uX7R/s3/Nn9cf7a/uz+F/8eAK3/2/9hAH7/s/4m/0IAwAGhAuMCoAQTBDgDNgS/A9kDawNlBYkFrQWIBWcEyAMSAcYBAAHPAhcDngOFBPECkQP/AgoC6gCCAOD+4v69/Zb8xfxb/a/8Qvqy+vX4N/g4+GX4lPkD+n/51vkE+Rf4PvcP+Br5NPlx/Mj7d/1//LL9vP44/yACBAGWA88CGQObA9kCqAPbA+QECwRZA9gDSQJPAgICzwKTAzUDgQQVAlkC1QFcAYcC1gK1AqcCdAMxAdcB9AHuARgEKwUVBfUF3gVGBL8FJQUaBc8F9QXHBR8FiQTlAg8DHgMVBFQEpANqA7IDSAPsAjQCNAENAWQAFwEYAMb/pP91/4//9P0R/qX9jvzi/JX8Hf1R/En8xPtw+sj51Pc6+H32j/Y29234qPid93j4Wff19yz30fZL+F34HvkK+4f7Rfuj+3X77Pt+++j7v/xj/Uv9ov14/9//8AAGAV8Bg/+Q/x7/ef41AHwAbQJaApUD5QNCAzwDKgP7A8QD1gTfBYEG0QZ9BwgIawciBpIEZwWgBQYGrgeHBgsFXwT8AzoDLALzAQsCPALBAFMBiAAZ/5D+T/6B/kH8yPuL+4776/y5/Zb9a/5Z/QP9GP1+/Dv8r/zu/Lz8Hf0R/S/+g/0P/jX/f/6Q/eP9AP6k/Zf+4v+c/wsAWv/E/iX/z/1K/Vf98/3c/W7+Sf6R/DP8mPxs/Af8gfuS+4P6yfql+7T7Sfu4+t76o/rc+lX6tvqI+nX7H/z9/M39fP5w/1T/h/+R/mP+qP3P/R3/dgDrAKIBhAFgAZYB9wCXAHIBvgLmAZgDjAKBAeIAnwAFAeQApAHLAEIBQAFMAZEBKAFoAN//O/6M/kL+I/6z/uP+hv9B//v/bv65/ST+gf7s/g0ApAAoAJ0A7v+S/6j/Kf+L/5kAvQC6AS0B6AFdApUBxwHaAMIA+wDIASECuQE7AWwBhALcAq0CegKFASQB3wA2AusBmgLABO4ETgRgA5UB+QAQARIBvAJ2A7ADZwPeA58DmwIkAQgB0wBWAIUB8wFhALwAcgCZ/0j/pQAz/zX9p/7//cD+jP5o/wX+HP2j/b799P2X/j//W//WARsBcv/A/uf9tv0yAGYB/QBGAUwB1QGMAXwCAQIvAnUBgQOuA6EBZwH+ATQDcAHNAVEBjgCW/y4AlgDpACT/JQCd/yr/gP+R/TH/lP87/jb96v8v/mf/ef/q+0/+Of/K/bH+GQCDANsAAgEXAC8ATAAUAjoClgCbAeD/PgHtAp0DawEGAJEAiACcAzUCxQIxAl3/v/8iAZ8BUgDB/2//c//3/4EAV/8z/6z9v/76/cL8Lv6X/TL+3P6p/2X+hf7G/Hb7f/2b/Vb+cf9lADMA//3i/3T+2fud/nr/DgD8/47+T/yT/JX+eAFBAif+3f1A/8n/eP7H/aX97P90/yYB/wJz/eL9uf91ALn9Uv7+/z8BIAFr/3T/rv/WAl4CRgLE/1r9wP/wAp4DKALvANr+BwCNAXwD3wH8AzQCEABUAIcA5gJ7ADAD0v94/ff9PwJDADsA0AK0/Dr/lAN+/qf+SgOC+uv/dQU3AKv9p//t/JL8YwRl/r0BMQNr/aT8xAEwBH4APgQnBGX+YfxNBPIBwwBMAOoApQBUAS0CMAAoAQr9ggBOAYcB4/gS/ycGsPzb/S7/WfwM/6D9iAC1AFz4LPZW/20C0wB4BHb84fq5+HICyf5iAKkDO/uE+1cAHgSSACEGjPdh918A+QSXBNYEBgO++LP6Ef+eCJ39G/52APH8tf4X/wsD1/tuA635K/14AVsAcAK/+8T+pPbrAoH/ZwHmBFz5KPY1AQsFdv0aBkj7cv6vAqIEKweW+FH94gINBSf99P02A/wDfwBJ/PYE8f8g+zz5YgP7AEYED/6eAS8A2fJH+lL8NQtYAAcBYvPF8kgEfwOCAd3w9gM5//H3WP/g+/z/cvpLBx37Y/vgA5//Sv7zAw0IVe7vBxoNBPziBmj8YPcm/kwIFwfTBS4Anfn289gGahD9AC0FGPmC+Fj8IAxcBLIHFgJr94MJRf2FAaMMjQJG/K4IWgAg+WsCrQ8Q/fcCMP9M/rv9xQnDDbD2O/2u+vsTYfW3+qn7KPyTEo4BWe7J7oMIbhD0CB/r7/mQ8+341RWDDILxiPKl/yP/kRXs+mz5Jv9J7ZD5TBD7EszynvvaAgzwJfVzCE4UEQaP9hL4VfV3CU4BygAn+ZbsAQ8DDD0dPPXc7kMHFvRGBDwW/RMx9dIN+gMn64X8iQDPEDQT+fzQ94n0OgEqCvYFMwWIAFfvSu+ZEfX7LAW3BX7xkPbx+1YKBxMY/hnnVf5SBSQG7g2PCyjyYgI6BTX+DAheBY4L1PUs/NUK/QhtCIoDLvta82D+kgJ5DQ0Gb/6l9sH0+Ags+jMQc/lmCJYBbvGCCbvowAuJGqMDuutCAdUA9vv8BaUHCP8b9t4FGvvu+sXtkBFvGXP3b+p0AccMfQhG/+fx2v+Z5tUY8yAP/yPvzOMe+2UL1w4WCzcD//PZ7o8GyAvI6eQXmhBg7xf8LgtpCo8M6/ST7PgQm/0LH18aO+497msMrgTE9ZwBPAz1EDT18wS270/rQha+HvPtd+x1AP32zwfoAwwHEeUq/vEEIfDaBVP+m/lh7bkDnQxV76MGTwAS+UT/iPO7BkL0jA2yAIQP9t1Q4Gcn0AvSA2/hzQHP+M8BuPSyDgYMBvX99Gz/uQEQ4xwViQyQ/G7nHRWw+nf6Gvja8vcOZO58JwT+BfQo+Fnrpg0c+DICsgoSE8n+L+uYBuL2kvYS/rwZHw95890Beu7t/vUDTvtQGoYLz+gU8HMt6AH61fki2/rY7jYQqBVF9gb4efcR8yoPdAImAZwBUQfd8Hr/wvU1+hoEE/g2ARsH0urE+HoOa/U4Ev/mRPsfDDjoQhiFDujZrvQGHR76a/WYFeYCjvC2E7n4+ftLA/rrKwpyF8T+8e6aDGIF5weI6eH4NRU27jUHFhOZEUvrjvuAAZ4ExBVF7u0CDAeaCWv5sQCVAZASsft9AXwGeuPIFtgNcRJo4S/2wRLj+CESNRfDBIrdtgdgEMgBXPDF/pMdOPTNBFkW2/ks6CL77AMc93QLUhchDTrrAu6y9BoCvgb4CcsEle4MDUv+Xulc94ARE/1GCqgOfe3x93H91AC8/xj69Px6E9INovWQAQLvr/SsEJAADwudC5n58fM3DvbpK/vLJyQDpfV7A0wJdevDB6wPU/sBAXIEExdvAL/zNgNI/Rju4P/3GEMAoQ5//AT3av8u61QOCwslAd39CggY7gb4FA/M/XkFPPwrAOv5jwpVAR/xpQJa9Zr5ZxXADwH+5fDm60wAoQGIAkoPc/ym9339NfctB/EG4/Tr/dwPDPYr+vcKQescAY4QQwQ6+2P+8Q6VClX0KPKW/zH24gKYCbwEwvy/+50NagKB+on5LfWO+7EBPQZu+nMDdwjc/RPzVPuiB8AEWf9t97MGmfE69wkPfvpp+SQKfBUQ+dbtdwYVCIHyEPQfEqv8VfkaEJsCYfXl/z0NivOC+NkNJP6U+JAB8AZQAHcBmwmS/Tj64QFNAnv9mfwvA7UCNgEjA3kIzAOv+JT8wf+8/yT+8gc3/oD62wh9/n4BbfZq/OAHVgEnAx0KwP1L8i4C9AVNBK8D7Q1zBEMFov5Z94QNVgJc/UAE2AsEDMIJmQDj+qUBJgJ/Df0KgwqaBK0J6Q4eAsgBywb+DvMJtQatDZIFBPxbEGULAwPDEawNvAhFAo//ogUNCSH9FwR3DU4CnQBoCsEERPHAAbUD3wBiCXsBUflu9x/7ZfnOAEoDxAMK+gj6PADd9F7ubvHU+4b2F/3K/GL0mPZM7Hjn3uw29KX3SP4A/KnvU+ty74jox+Uo8dvy8/Md9YzyvOzh5qztTOye6B7zm/h2+b7wSumw7PzwbuvU8z79ifjj+1v5g/PB8Kbz+/II9g77gfqq/A0Czv7a85XyfPeS/nX7BPwGAg4DGv8//ukAXf8MAmD/6gUDB88C1wZVCNYI9QOXCv0MaAyzEN4LoAzTDpQKDQtvEVoQDhWPGroSag9TEqIWzhG1EM4V2xUyF+oVzBN6FFUQtg/WFFcTjRPzEqAVqBFpDsYNdQ82FRAOixKrFrkSSRFaEc4PmA7vC8EOuRQQFWoXgBPaD1wL+Ag/BxgK6g32DUsQIQ11CS0G6wb8AhUBXQPr/3P/nv6Y+9r1rfJs9ij6OfUL8+Tydu7m6mHoIucu5Ifh2t9w4N7eF9xI3RLhd+Iq4BPfw9723Hndnt9Y4CfiquTv6eTLine truncated
|
||||
" Your browser does not support the audio element.\n",
|
||||
" </audio>\n",
|
||||
" "
|
||||
],
|
||||
"text/plain": [
|
||||
"<IPython.lib.display.Audio object>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
" > preemphasis = 0.98\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"\n",
|
||||
" <audio controls=\"controls\" >\n",
|
||||
" <source src=\"data:audio/wav;base64,UklGRi41AgBXQVZFZm10IBAAAAABAAEAIlYAAESsAAACABAAZGF0YQo1AgBlARkDdwJ4AY4CQQM9BEIFmAQfB3EGQgUbBtwFOQWYBAEFLQVWBfADcwPwAvQBoAAVAAIAd/83/mb9hP2H/P78a/xn/VT8bft/+nz6Xvrq+dj6r/qL+1P69Pgh+Pb4sfjz+Wb7aPy5/HH82/x2+4z7hPs5+w/83fs1/Cz7ffsX+0P75/uS/Qf/GP4f/Sn8z/ur+hv6Y/uQ+zP8RP1r/Gz9IP/g/ycAGwHCAUUCkQQIBr8HYgprC94LeAyEDLsKugpbCz0M/AsYDf8MAg6FDGQKJQsCCcsHpAezCE0GhwWlA00D9gK8AKUASAAbAcL/mwAFAUMB4QCrAAUBfABgAZcAewIQAjwCdwK8A/ACogJwA4IC6wP4Ap8FxwRGBf4FNAVQBZkDfgOKA6cD6wJMAywEvgSQBBwFJwWKBIkE1wPpAawA8v9C/mj+YP2w/KP8vfzA+o/68/nL+Of4Vvg2+bj6QvuZ+fD5rPmQ+Yv6ofqn+2H9af5j/vn+m//v/woAAwE0AjQCpgGbAigCTACC/2UAFAFY/2P//v6g/T38vPw8/3H/Uv8Z/z791fuZ+7/6Z/x5/Pn8cf0v/tb9evvV/FD9m/24/Vb+j/4g/vr+bv7p/jb8HPqY+9L5KPrV+nz6KvyF+hn8FP2H/A793PwU/Mr6cPtl+rL8E/3w/VH+O/9n/0P+TwEIAj0EPgMiA4UCSQNIBF8GHwnRB0YHdgVpBGIDlgTmBlsIQArXClMJ8ggVB8oF7QWsBIcFMQU1BVoE0QX3BOcCpANcACb/L/6p/sT/Qf+C/8n+G/5x/CX7R/p8+F/47Ped+NX4s/lg+5X67/qS+vD6P/kk+rX6KfsC/ND72/yj/Bb+P/z0/ET9Lvy+/H/98f23/XD/EgAqAEMA3v55/Sn9Zfsf+4n8dfwr/az9S/yP+tP6xvn1+Xj7Xvr1+yL9p/1n/g/+av3O/Cz+Bf21/UT+df7YAOEBfgRTBG4E5QVVBZQFfgUVBbYEggXABccG4gjGB0YIqgcPBs0E5AMeBYcEpgXxBhwGpQUkBD4DZQI3Aa4BEwHPAPb/swFqAp0BTgE5ABUByP83/w7/oP2G/aP9mf64/k/9Nf15/Nf7sPry+YT5UPmn+ob6UPta+k75Gfro+ZL5W/oo+2z6AfvO+7L8kPvA+7f7avwO/ff7j/3U/YT+2//T/9v+av6//f/8pvwe/s7+p/+9AFMBKwHN/w0ASP/R/4D/KAAFA4oCzwOZAygCQAGM/7b/cf9hAGoBiAGKAXYADQAHAGr/mf61/o3+Fv5p/nr+AAC2/x7/0QDFANX/c/8Y/08ASAIXA8IDPAPMAkYCagIHA4YChQJmA1cD6gKFAsIBlgF9Ad4BMgGf/33+0f6k/vH9lP5K/ub92fwD+2D73vuM+6j7bvzq/Cr9zP0v/OL7AfwB/Af+Gf62/ur+E/84/+/+r/9r/mj/YACiAacCdAJtA6ICOwNiAxwDPwMSBD4ESwM7BBMEhAILA7UEYQUxBfQDFwTcA4gD/wJ9AtIC8ALYAhkBDgFyAHn/mwIYAywBYQG/AR0BMgF2Aeb/IAFzAasADQCC/04AFQC/AJsB7gCyAAkBUQBI/0kBSAHy/18AgP9f/zf/SgA6AiQCBv9i/7kAqgAnAGX+Hv4W//cA4wJlA5YBwADEACoBxwG9/57/RgGhArECegNeA0MAwgBwAS0BkQG8AdEBPQIMATwBPwEi/y7+Tv5q/8wBjgDe/sf+vv05/WH+hf6P/DH9J/1o/WT/xP9e/W/9RP4HAJ//Qv1b/dv8/PzSAGECxP58/D/9Rv5vAJwBJgCC/o3+hwDj/igAEf7k/Rv/Qv0m/gf+/P+t/u79tPw1/rn+O/wE/qj7vfpp+47+I/2T+7D94Pyk/lr8kPq1/cr/qv1y/hz/p/wp/Hb+KwCsACn/NP+vARUA//+7AZoArQD8AvMCtwLaApUCQgFZAJsAZQFAAbYA8AF8AMoAbwE5AxoDMP8c/gb9tgBiAhYBuf0N/UH+CQAuAo385/y5/7D/jv8m/57+x/36ALQBBQNU/9n8j//n/Q7+0v9aAe78GAMrAib85gN5AEz8tQC/A9n9uAG6Aj77NP56/0YE7P19/00AUvw1/sX/AQIVADUCw/v4/QAASf9h/iMBVAAu/nkC0QPZ/h77JgLJ/t7/fAHJAXoB8v+aAWMBmwKZABgBXP3P/AcBSQR5ACIAYf+4/coCif43Aqn93v9Y/Yf8NAAA/fEAcf2kA+D7A/uHAMv/Ofpd+ngJ6gD1/gcA9/rc/LAAnQYtAQn/pvp3/nECIwchBVz6Wf2Z+t4DuwcDCYn9jvUo/lD90AeCAkL/iPar+cH/9Pw8CYP4bf1G+xz8Gv/4BYP+pPXiA73x0/33BdUIKfzR+jD9Cf0WBBAEFAGX+osJ4AQU+CQC6gCq/9EMmv7TAGgBTwLg+ssDcQGh+LUBvwj+Cc3yEAX4+6X+ov41/MAJggEEBXn67fkp+AL9JAWiBigIvQIIAaH2VP3KDIMEj/rTBDEIyAGK+hoEGgldASIJN/02+JsFMBIy/xL3gwjO+H7+ZQWp/y8FyQUZAjv2afvX+vUDDQZO+yb3BfY3AA8GLgGJ9Ej2e/cM/lsR4gm26NP0qPpKCBEEvPZoDtz5//s2/Pz/YwEK/coKAQXkCKbqKfN3EmUFNgc+/Wf45AGBBCD7UQXd/lABJhcaAorwvfoWC30NtQe1+n4DxPqb+tQWhQHf9Vf94QrM/63/Wgb4+tMAz+zT/jQM6hLQ+fAALQY05PT75Qm1AmACfgLH7T4EvPmYCHgGqPps8e3x1A/QDyAU4fp2/ivZ5QUjK3f/lvpd/FX1afM7FgkJVvge/pL8LwZe+J71+whS+SsFRP9v9h3uCgbOHzT8wfTq8IX+BgNaF7cPWPpV+fL61vJKA70RsvnHERYAoOUg+sUYgfwj/yD7q+dtEwwFEgbn+g/6Gukb+GkP/QO0DEfnFgcyBaT2wgrMC2X/kv1F+vb9uggn+9wdQhmN5PjrjA1jDFf7af12H+buDP0eBCL2BP3q8nAgcgGa77T0sA3i93PvhwJVBNb/e+nRDT8MA/qr957vwu2p/90O3QXUCVv3wuAB8cMRO/t8DLUK4tOA68MI8DB29nnoB/qv8GYHqwe4DjbY1wW0BTH0cASS8WANcwb17uvoDQJ3C5gNTfvH9rboJQJNB2f/DwoaAaP9Jfx3BHjvDwg1C98P/vtZ7/79QgQJD4QNWPZL97sDAP46B3cBGwXS4f8BNQYYE9oLQPbm++DhYg8E8GP/HCxNDfXkS+0C91jxiAMdFFYMrvco+YT3SwxM8RflRAtzBFb0ShaYA/HppA1W47L5MwRPBjAdRvAb+qTz7Oun/NIZbAkU3JkRvxLW4bMHCPtvBOr8sQcTEZXtoQITEvYRzdxdApUKQ/aaBWAROxxo9zvfdvlxDcMRvPtoDNkPf+dyDLTskhTI9NnolScYG07rN/j5FU3j3A0e8jr5BxGhIa8GzufS9v3yiggODssbNOjw6AILxBab8QLtPxpS7W0NHg0L/ynkLPJTGxn7LAcx7MsbBgY65xUPLhVB6VbuhSJW71z6bv33/5oE/RH8/2DrURts8NnfTB5yASjpoBBHEDACw+saAKsPaPIr85sfsPpE/s77vvAFEzr9LwVhCDIVt+AKAr8QtOvSAAUCVgY4/DAe4faz958AsuVIDTEQgvb+9rgUU/dF7xECaASMDMn7B/r1AE4B7ezOBAj60fJeEKYDBwK//tvxPuQeC+cB2AYH+gT6mBIu+F7ynvuz+VnrGB9KF0vvJ/l9Aorw1/3EELsCMgVi8on7bgdo8NABCQWk9U//vgRxBTwHqe9/69gGU/5V+aMQdQPY8pD/1AAr84r7YRePASoAjP5I9gr+df+6D88HQfQz+pAUCAhyBWkBavDo/WsHHQwtEFMGh//p/6X4Vf7YCusF2frE/hEEnQDP+PMJkQnX8eL3cAiz8t39Bg9w80DzcPe/BBf5iPgTDkb4AfHRAFb7xO6AATwGhfcJ9EABTAs/9Ur/owAA+GfvO/8kFZbz/PojDtT/feuVAG0IZPmrBbv84/Fb6jQQXRad8gHxtAHFCEL25v4c+Gj7oP9b95YDQwKM/GQEfw/Q+HvuhwxCARb8SgkuAswAkQUbEKQE8A2VCS4DyhFxBDUOUQs3/coN2hGEB4IQOR5SEawCbwYsC7QCaQgXFIgPbwl/A+4KiAMM+ngLPAiX/YoE4QVKAC72qPbXBTH/pPrfB90C0v9X9Zb20vaj8PoCcQJIAHf+8/i09vXyOfWE+TD9v/92/IHukfj8/cHvCfHt7yf4Nfwc/Uv0Ce4A7sLmDfFo9jL0VvHd9Pnwbe286g3s4fJ38aXzu/gZ+Y3z1e/Q4HfkbPUt/nz4ePz//4rydfTk7QD3Ffjt+DIB4QN7/vn5pfrA77L/ewEYB18NPwve+zvzQP+k89D4tvrtBQAMPQLV/z4BtftG8cn1O/Ov/tb91vxi/hf6jvnC9vX9UPbF/LAGtwn8BJ4GygVs//sNiQwMEyUYhBQAGvMaoBRbE1gbOxxJHiYkkCt3JyMiCR6xH5ciyh5AIdchBCU8Igkk5CGuHNIYHBjcF9EPng3hDN8Qyw6VB4QERwCa/TD9QfhQ9oH0sPQJ9Pfsq+gP53TuGfBh6nvuJ/Lc76/tH+1Z6+zs0fWn+Mf4vfp0+pP+ewEX/HoBCwmpAi4GeQgCCR0LTgu0D9cNjw6cC+YKaAx9CUsHmQiACCEDIwLCAYP+u/a096v5c/dR9PvuY+zv60XrWuOa40/nd+Jn4wbniONI23fbqd7Z2AbX+dhT2LjZKdyD2eXbJt/R3t/eWOD05l7mjeYA7Q7Line truncated
|
||||
" Your browser does not support the audio element.\n",
|
||||
" </audio>\n",
|
||||
" "
|
||||
],
|
||||
"text/plain": [
|
||||
"<IPython.lib.display.Audio object>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
" > preemphasis = 0.99\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"\n",
|
||||
" <audio controls=\"controls\" >\n",
|
||||
" <source src=\"data:audio/wav;base64,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 truncated
|
||||
" Your browser does not support the audio element.\n",
|
||||
" </audio>\n",
|
||||
" "
|
||||
],
|
||||
"text/plain": [
|
||||
"<IPython.lib.display.Audio object>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": "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 truncated
|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x7f2e6c3cf438>"
|
||||
]
|
||||
},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"compare_values(\"preemphasis\", [0, 0.97, 0.98, 0.99], \"5_5uIl38UFVh0.wav\")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 53,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
" > Ground-truth\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"\n",
|
||||
" <audio controls=\"controls\" >\n",
|
||||
" <source src=\"data:audio/wav;base64,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 truncated
|
||||
" Your browser does not support the audio element.\n",
|
||||
" </audio>\n",
|
||||
" "
|
||||
],
|
||||
"text/plain": [
|
||||
"<IPython.lib.display.Audio object>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
" > ref_level_db = 10\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"\n",
|
||||
" <audio controls=\"controls\" >\n",
|
||||
" <source src=\"data:audio/wav;base64,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 truncated
|
||||
" Your browser does not support the audio element.\n",
|
||||
" </audio>\n",
|
||||
" "
|
||||
],
|
||||
"text/plain": [
|
||||
"<IPython.lib.display.Audio object>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
" > ref_level_db = 15\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"\n",
|
||||
" <audio controls=\"controls\" >\n",
|
||||
" <source src=\"data:audio/wav;base64,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 truncated
|
||||
" Your browser does not support the audio element.\n",
|
||||
" </audio>\n",
|
||||
" "
|
||||
],
|
||||
"text/plain": [
|
||||
"<IPython.lib.display.Audio object>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
" > ref_level_db = 20\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"\n",
|
||||
" <audio controls=\"controls\" >\n",
|
||||
" <source src=\"data:audio/wav;base64,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 truncated
|
||||
" Your browser does not support the audio element.\n",
|
||||
" </audio>\n",
|
||||
" "
|
||||
],
|
||||
"text/plain": [
|
||||
"<IPython.lib.display.Audio object>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
" > ref_level_db = 25\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"\n",
|
||||
" <audio controls=\"controls\" >\n",
|
||||
" <source src=\"data:audio/wav;base64,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 truncated
|
||||
" Your browser does not support the audio element.\n",
|
||||
" </audio>\n",
|
||||
" "
|
||||
],
|
||||
"text/plain": [
|
||||
"<IPython.lib.display.Audio object>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
" > ref_level_db = 30\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"\n",
|
||||
" <audio controls=\"controls\" >\n",
|
||||
" <source src=\"data:audio/wav;base64,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 truncated
|
||||
" Your browser does not support the audio element.\n",
|
||||
" </audio>\n",
|
||||
" "
|
||||
],
|
||||
"text/plain": [
|
||||
"<IPython.lib.display.Audio object>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
" > ref_level_db = 35\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"\n",
|
||||
" <audio controls=\"controls\" >\n",
|
||||
" <source src=\"data:audio/wav;base64,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 truncated
|
||||
" Your browser does not support the audio element.\n",
|
||||
" </audio>\n",
|
||||
" "
|
||||
],
|
||||
"text/plain": [
|
||||
"<IPython.lib.display.Audio object>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
" > ref_level_db = 40\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"\n",
|
||||
" <audio controls=\"controls\" >\n",
|
||||
" <source src=\"data:audio/wav;base64,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 truncated
|
||||
" Your browser does not support the audio element.\n",
|
||||
" </audio>\n",
|
||||
" "
|
||||
],
|
||||
"text/plain": [
|
||||
"<IPython.lib.display.Audio object>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": "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 truncated
|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x7f2e5c11c7b8>"
|
||||
]
|
||||
},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"compare_values(\"ref_level_db\", [10, 15, 20, 25, 30, 35, 40], \"5_5uIl38UFVh0.wav\")"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.7.0"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 2
|
||||
}
|
||||
Reference in new issue
Block a user