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September 4, 2017 10:12
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TristouNet-based speaker change detection
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{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"execution_count": 134, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"Populating the interactive namespace from numpy and matplotlib\n" | |
] | |
}, | |
{ | |
"name": "stderr", | |
"output_type": "stream", | |
"text": [ | |
"/Users/bredin/anaconda3/envs/py35-pyannote-audio-dev/lib/python3.5/site-packages/IPython/core/magics/pylab.py:161: UserWarning: pylab import has clobbered these variables: ['step']\n", | |
"`%matplotlib` prevents importing * from pylab and numpy\n", | |
" \"\\n`%matplotlib` prevents importing * from pylab and numpy\"\n" | |
] | |
} | |
], | |
"source": [ | |
"%pylab inline\n", | |
"from pyannote.core import notebook, Segment\n", | |
"notebook.crop = Segment(120, 300)" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"# TristouNet-based speaker change detection" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"This notebook assumes that you have already pretrained a TristouNet speaker embedding. \n", | |
"Follow this link if you are looking for how to train such a network: \n", | |
"https://github.com/pyannote/pyannote-audio/tree/master/tutorials/speaker-embedding" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"We start by loading the pretrained model (distributed along with pyannote.audio source code)." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 135, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stderr", | |
"output_type": "stream", | |
"text": [ | |
"/Users/bredin/anaconda3/envs/py35-pyannote-audio-dev/lib/python3.5/site-packages/keras/models.py:245: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually.\n", | |
" warnings.warn('No training configuration found in save file: '\n" | |
] | |
} | |
], | |
"source": [ | |
"from pyannote.audio.embedding.base import SequenceEmbedding\n", | |
"best_epoch = 986\n", | |
"pretrained_model = SequenceEmbedding.load(\n", | |
" '../tutorials/speaker-embedding/2+0.5/TristouNet/train/Etape.SpeakerDiarization.TV.train', \n", | |
" best_epoch)" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"The above TristouNet model was trained on top of MFCCs: let's instantiate the MFCC feature extractor. " | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 136, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"from pyannote.audio.features import YaafeMFCC\n", | |
"feature_extraction = YaafeMFCC(duration=0.032, step=0.020,\n", | |
" e=False, De=True, DDe=True, \n", | |
" coefs=11, D=True, DD=True)" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"We now instantiate an embedding extractor." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 137, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"from pyannote.audio.embedding.extraction import Extraction\n", | |
"# embeddings are extracted every 100ms on a 2s windows.\n", | |
"duration, step = 2, 0.1\n", | |
"extraction = Extraction(pretrained_model, feature_extraction, \n", | |
" duration, step=step)" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"For this example, we use the first file in the test subset of the Etape TV dataset." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 138, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"'/Users/bredin/Corpora/etape/BFMTV_BFMStory_2011-05-31_175900.wav'" | |
] | |
}, | |
"execution_count": 138, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"from pyannote.database import get_protocol, FileFinder\n", | |
"preprocessors = {'audio': FileFinder()}\n", | |
"protocol = get_protocol('Etape.SpeakerDiarization.TV', preprocessors=preprocessors)\n", | |
"first_test_file = next(protocol.test())\n", | |
"first_test_file['audio']" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"This is where the actual embedding extraction occurs:" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 139, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"embeddings = extraction.apply(first_test_file)" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"Then, we can compare the embeddings of two adjacent (left, right) sliding windows:" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 140, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
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Pra0rwL52I9451o+3jvbhq3/+BF96Zi/l/BCzEj4mgS+MxWNeIJPwUOcYGnrMk3pcYjYe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7Bh+/E+kFpXPHtW0srXbXFAJkoEzk8JnfgXDlIAn8V7Xj59WewFH8AbdDKR6gSTXukDcIvk0TTp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\nQmCC\n", | |
"text/plain": [ | |
"<pyannote.core.feature.SlidingWindowFeature at 0x11e31d7f0>" | |
] | |
}, | |
"execution_count": 140, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"from pyannote.core import SlidingWindow, SlidingWindowFeature\n", | |
"from pyannote.audio.embedding.utils import cdist\n", | |
"K = int(duration / step)\n", | |
"sw = SlidingWindow(start=embeddings.sliding_window.duration, \n", | |
" step=embeddings.sliding_window.step)\n", | |
"data = np.array([cdist(embeddings.data[i+K, np.newaxis], embedding, metric='euclidean')[0]\n", | |
" for i, embedding in enumerate(embeddings.data[:-K, np.newaxis])])\n", | |
"left_vs_right = SlidingWindowFeature(data, sw)\n", | |
"left_vs_right" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"Finally, we apply peak detection on this score:" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 141, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"from pyannote.audio.signal import Peak\n", | |
"peak = Peak(alpha=0.6, min_duration=2)\n", | |
"result = peak.apply(left_vs_right)" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"Let's plot the final result next to the actual reference:" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 144, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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Sr+/Tpxn6rF3i7PDPxWp3LYmdoly+vJZW+1VSbNTaF0yeSUvXsHpV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\nf3vjOn0/Z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| |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x1117718d0>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"figsize(20, 8)\n", | |
"subplot(311)\n", | |
"reference = first_test_file['annotation']\n", | |
"notebook.plot_annotation(reference, time=False)\n", | |
"subplot(312)\n", | |
"notebook.plot_feature(left_vs_right, time=False)\n", | |
"subplot(313)\n", | |
"notebook.plot_timeline(result)" | |
] | |
} | |
], | |
"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": "3.5.3" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 2 | |
} |
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