\n",
"\n",
"This tutorial is available as an IPython notebook at [malaya-speech/example/diarization-speaker-similarity](https://github.com/huseinzol05/malaya-speech/tree/master/example/diarization-speaker-similarity).\n",
" \n",
"
\n",
"\n",
"This is an application of malaya-speech Pipeline, read more about malaya-speech Pipeline at [malaya-speech/example/pipeline](https://github.com/huseinzol05/malaya-speech/tree/master/example/pipeline).\n",
" \n",
"
"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### What is Speaker Diarization\n",
"\n",
"In one audio sample, we want to know the timestamp for multiple speakers."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"\n",
"os.environ['CUDA_VISIBLE_DEVICES'] = ''"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"`pyaudio` is not available, `malaya_speech.streaming.pyaudio` is not able to use.\n"
]
}
],
"source": [
"from malaya_speech import Pipeline\n",
"import malaya_speech\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### load Speaker Vector\n",
"\n",
"So to know speakers similarity, we can use speaker vector, read more about malaya-speech Speaker Vector at https://malaya-speech.readthedocs.io/en/latest/load-speaker-vector.html"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"scrolled": true
},
"outputs": [],
"source": [
"model = malaya_speech.speaker_vector.nemo(model = 'huseinzol05/nemo-titanet_large')"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"_ = model.eval()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Load audio sample"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(1634237, 16000)"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"y, sr = malaya_speech.load('speech/video/The-Singaporean-White-Boy.wav')\n",
"len(y), sr"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"# just going to take 60 seconds\n",
"y = y[:sr * 60]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This audio extracted from https://www.youtube.com/watch?v=HylaY5e1awo&t=2s"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"# import IPython.display as ipd\n",
"\n",
"# ipd.Audio(y, rate = sr)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Load VAD\n",
"\n",
"We need to use VAD module to know which parts of the audio sample are speaker activities, read more about VAD at https://malaya-speech.readthedocs.io/en/latest/load-vad.html"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2023-02-19 19:33:13.166314: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA\n",
"To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
"2023-02-19 19:33:13.172040: E tensorflow/stream_executor/cuda/cuda_driver.cc:271] failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected\n",
"2023-02-19 19:33:13.172063: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:169] retrieving CUDA diagnostic information for host: husein-MS-7D31\n",
"2023-02-19 19:33:13.172067: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:176] hostname: husein-MS-7D31\n",
"2023-02-19 19:33:13.172136: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:200] libcuda reported version is: 470.161.3\n",
"2023-02-19 19:33:13.172154: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:204] kernel reported version is: 470.161.3\n",
"2023-02-19 19:33:13.172158: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:310] kernel version seems to match DSO: 470.161.3\n"
]
}
],
"source": [
"vad = malaya_speech.vad.deep_model(model = 'vggvox-v2')"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"frames = list(malaya_speech.utils.generator.frames(y, 30, sr))"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
""
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"p = Pipeline()\n",
"pipeline = (\n",
" p.batching(5)\n",
" .foreach_map(vad.predict)\n",
" .flatten()\n",
")\n",
"p.visualize()"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/husein/.local/lib/python3.8/site-packages/librosa/core/spectrum.py:222: UserWarning: n_fft=512 is too small for input signal of length=480\n",
" warnings.warn(\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 46.9 s, sys: 1.68 s, total: 48.6 s\n",
"Wall time: 6.09 s\n"
]
},
{
"data": {
"text/plain": [
"dict_keys(['batching', 'predict', 'flatten'])"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"%%time\n",
"\n",
"result = p(frames)\n",
"result.keys()"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"frames_vad = [(frame, result['flatten'][no]) for no, frame in enumerate(frames)]\n",
"grouped_vad = malaya_speech.utils.group.group_frames(frames_vad)\n",
"grouped_vad = malaya_speech.utils.group.group_frames_threshold(grouped_vad, threshold_to_stop = 0.3)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"image/png": 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\n",
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