{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Unsupervised clustering using HMM" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "This tutorial is available as an IPython notebook at [malaya-speech/example/diarization-clustering-hmm](https://github.com/huseinzol05/malaya-speech/tree/master/example/diarization-clustering-hmm).\n", " \n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "This module is language independent, so it save to use on different languages. Pretrained models trained on multilanguages.\n", " \n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\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": "code", "execution_count": 1, "metadata": {}, "outputs": [], "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, just load using `malaya_speech.speaker_vector.deep_model`. Read more about malaya-speech Speaker Vector at https://malaya-speech.readthedocs.io/en/latest/load-speaker-vector.html\n", "\n", "We are going to compare `conformer-base` and `vggvox-v2`." ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "scrolled": true }, "outputs": [], "source": [ "model_conformer = malaya_speech.speaker_vector.deep_model('conformer-base')\n", "model_vggvox2 = malaya_speech.speaker_vector.deep_model('vggvox-v2')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Load audio sample" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(1634237, 16000)" ] }, "execution_count": 3, "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": 4, "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": "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": 5, "metadata": {}, "outputs": [], "source": [ "vad = malaya_speech.vad.deep_model(model = 'vggvox-v2')" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "frames = list(malaya_speech.utils.generator.frames(y, 30, sr))" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "execution_count": 7, "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": 8, "metadata": { "scrolled": true }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/librosa/core/spectrum.py:224: UserWarning: n_fft=512 is too small for input signal of length=480\n", " n_fft, y.shape[-1]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 1min 2s, sys: 38.7 s, total: 1min 41s\n", "Wall time: 21.8 s\n" ] }, { "data": { "text/plain": [ "dict_keys(['batching', 'predict', 'flatten'])" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "%%time\n", "\n", "result = p(frames)\n", "result.keys()" ] }, { "cell_type": "code", "execution_count": 9, "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": 10, "metadata": { "scrolled": false }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "malaya_speech.extra.visualization.visualize_vad(y, grouped_vad, sr, figsize = (15, 3))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Load Hidden Markov model\n", "\n", "Make sure you already installed `hmmlearn`, if not, simply,\n", "\n", "```bash\n", "pip3 install hmmlearn\n", "```\n", "\n", "```python\n", "class HiddenMarkovModelClustering:\n", " def __init__(\n", " self,\n", " min_clusters: int,\n", " max_clusters: int,\n", " metric: str = 'cosine',\n", " covariance_type: str = 'diag',\n", " threshold: float = 0.35,\n", " single_cluster_detection_quantile: float = 0.05,\n", " single_cluster_detection_threshold: float = 1.15,\n", " ):\n", " \"\"\"\n", " Load malaya-speech HiddenMarkovModel, originallly from pyannote, https://github.com/pyannote/pyannote-audio/blob/develop/pyannote/audio/pipelines/clustering.py\n", "\n", " Parameters\n", " ----------\n", " min_clusters: int\n", " minimum cluster size, must bigger than 0\n", " max_clusters: int\n", " maximum cluster size, must equal or bigger than `min_clusters`.\n", " if equal to `min_clusters`, will directly fit into HMM without calculating the best cluster size.\n", " metric: str, optional (default='cosine')\n", " Only support `cosine` and `euclidean`.\n", " covariance_type: str, optional (default='diag')\n", " Acceptable input shape, https://hmmlearn.readthedocs.io/en/latest/api.html#gaussianhmm\n", " threshold: float, optional (default=0.35)\n", " minimum threshold to assume current iteration of cluster is the best fit.\n", " \"\"\"\n", "```\n", "\n", "To get better results using HMM, set `norm_function=None` and `log_distance_metric=None`." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "from malaya_speech.model.clustering import HiddenMarkovModelClustering" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "hmm_model = HiddenMarkovModelClustering(min_clusters = 1, max_clusters = 20)" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/hmmlearn/hmm.py:273: RuntimeWarning: invalid value encountered in true_divide\n", " / (means_weight + denom))\n", "Some rows of transmat_ have zero sum because no transition from the state was ever observed.\n" ] }, { "data": { "text/plain": [ "[(, 'not a speaker'),\n", " (, 'not a speaker'),\n", " (, 'speaker 1'),\n", " (, 'speaker 3'),\n", " (, 'speaker 3')]" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "result_diarization_hmm_conformer = malaya_speech.diarization.clustering(\n", " vad_results = grouped_vad, \n", " speaker_vector = model_conformer,\n", " model = hmm_model,\n", " norm_function = None,\n", ")\n", "result_diarization_hmm_conformer[:5]" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "[(, 'not a speaker'),\n", " (, 'not a speaker'),\n", " (, 'speaker 0'),\n", " (, 'speaker 0'),\n", " (, 'speaker 0')]" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "result_diarization_hmm_vggvox2 = malaya_speech.diarization.clustering(\n", " vad_results = grouped_vad, \n", " speaker_vector = model_vggvox2,\n", " model = hmm_model,\n", " norm_function = None,\n", ")\n", "result_diarization_hmm_vggvox2[:5]" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "scrolled": true }, "outputs": [ { "data": { "image/png": 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