{ "cells": [ { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "#collapse\n", "\n", "# setting things for pretty visualization\n", "\n", "from rich import print\n", "from pyannote.core import notebook, Segment\n", "SAMPLE_EXTENT = Segment(0, 30)\n", "notebook.crop = SAMPLE_EXTENT\n", "\n", "SAMPLE_CHUNK = Segment(15, 20)\n", "SAMPLE_URI = \"sample\"\n", "SAMPLE_WAV = f\"{SAMPLE_URI}.wav\"\n", "SAMPLE_REF = f\"{SAMPLE_URI}.rttm\"" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# One speaker segmentation model to rule them all" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this blog post, I talk about pyannote.audio [pretrained speaker segmentation model](https://hf.co/pyannote/segmentation), which happens to be one of the [most popular audio model](https://huggingface.co/models?other=audio) available on 🤗 Huggingface model hub. " ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from pyannote.audio import Model\n", "model = Model.from_pretrained(\"pyannote/segmentation\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## What does `pyannote/segmentation` do?\n", "\n", "Every `pyannote.audio` model has a `specifications` attribute that tells us a bit more about itself:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
Specifications(\n",
       "    problem=<Problem.MULTI_LABEL_CLASSIFICATION: 2>,\n",
       "    resolution=<Resolution.FRAME: 1>,\n",
       "    duration=5.0,\n",
       "    warm_up=(0.0, 0.0),\n",
       "    classes=['speaker#1', 'speaker#2', 'speaker#3'],\n",
       "    permutation_invariant=True\n",
       ")\n",
       "
\n" ], "text/plain": [ "\u001b[1;35mSpecifications\u001b[0m\u001b[1m(\u001b[0m\n", " \u001b[33mproblem\u001b[0m=\u001b[1m<\u001b[0m\u001b[1;95mProblem.MULTI_LABEL_CLASSIFICATION:\u001b[0m\u001b[39m \u001b[0m\u001b[1;36m2\u001b[0m\u001b[1m>\u001b[0m,\n", " \u001b[33mresolution\u001b[0m=\u001b[1m<\u001b[0m\u001b[1;95mResolution.FRAME:\u001b[0m\u001b[39m \u001b[0m\u001b[1;36m1\u001b[0m\u001b[1m>\u001b[0m,\n", " \u001b[33mduration\u001b[0m=\u001b[1;36m5\u001b[0m\u001b[1;36m.0\u001b[0m,\n", " \u001b[33mwarm_up\u001b[0m=\u001b[1m(\u001b[0m\u001b[1;36m0.0\u001b[0m, \u001b[1;36m0.0\u001b[0m\u001b[1m)\u001b[0m,\n", " \u001b[33mclasses\u001b[0m=\u001b[1m[\u001b[0m\u001b[32m'speaker#1'\u001b[0m, \u001b[32m'speaker#2'\u001b[0m, \u001b[32m'speaker#3'\u001b[0m\u001b[1m]\u001b[0m,\n", " \u001b[33mpermutation_invariant\u001b[0m=\u001b[3;92mTrue\u001b[0m\n", "\u001b[1m)\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "print(model.specifications)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "These specifications tell us the following about `pyannote/segmentation`:\n", "\n", "* it ingests audio chunks of 5 seconds `duration`\n", "* it addresses a multi-label classification `problem`...\n", "* ... whose possible `classes` are chosen among `speaker#1`, `speaker#2`, and `speaker#3` ...\n", "* ... and are `permutation_invariant` (more about that below)\n", "\n", "We also learn that its output temporal `resolution` is the frame (_i.e._ it outputs a sequence of frame-wise decisions rather than just one decision for the whole chunk). The actual temporal resolution can be obtained through the magic `introspection` attribute (approximately 17ms for `pyannote/segmentation`):" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.016875" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "model.introspection.frames.step" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## OK, but what does `pyannote/segmentation` really do? \n", "\n", "To answer this question, let us consider the audio recording of a 30s conversation between two speakers (the blue one and the red one):" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#collapse\n", "\n", "from pyannote.database.util import load_rttm\n", "reference = load_rttm(SAMPLE_REF)[SAMPLE_URI]\n", "reference" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#collapse \n", "\n", "from IPython.display import Audio as AudioPlayer\n", "AudioPlayer(SAMPLE_WAV)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's apply the model on this 5s excerpt of the conversation:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": 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AAAXznhcAAMAFccstt2T69OlZuXJlHn/88Rw8eDDd3d350pe+lFdeeaXe4wEAAAURLwAAgAvi4osvzp49ezJr1qzcdNNN6ezszLp16/LGG294JQYAADBIpVqtVus9BAAAAAAAwFleeQEAAAAAABRFvAAAAAAAAIoiXgAAAAAAAEURLwAAAAAAgKKIFwAAAAAAQFHECwAAAAAAoCjiBQAAAAAAUBTxAgAAAAAAKIp4AQAAAAAAFEW8AAAAAAAAiiJeAAAAAAAARREvAAAAAACAovwfkoB+UyZo5zsAAAAASUVORK5CYII=\n", "text/plain": [ "" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#collapse \n", "\n", "SAMPLE_CHUNK" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from pyannote.audio import Audio\n", "audio_reader = Audio(sample_rate=model.hparams.sample_rate)\n", "waveform, sample_rate = audio_reader.crop(SAMPLE_WAV, SAMPLE_CHUNK)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#collapse \n", "\n", "import numpy as np\n", "from pyannote.core import SlidingWindowFeature, SlidingWindow\n", "_waveform, sample_rate = Audio()(SAMPLE_WAV)\n", "_waveform = _waveform.numpy().T\n", "_waveform[:round(SAMPLE_CHUNK.start * sample_rate)] = np.NAN\n", "_waveform[round(SAMPLE_CHUNK.end * sample_rate):] = np.NAN\n", "SlidingWindowFeature(_waveform, SlidingWindow(1./sample_rate, 1./sample_rate))" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "output = model(waveform)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#collapse \n", "_output = output.detach()[0].numpy()\n", "shifted_frames = SlidingWindow(start=SAMPLE_CHUNK.start, \n", " duration=model.introspection.frames.duration, \n", " step=model.introspection.frames.step)\n", "_output = SlidingWindowFeature(_output, shifted_frames)\n", "_output" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The model has accurately detected that two speakers are active (the orange one and the blue one) in this 5s chunk, and that they are partially overlapping around t=18s. The third speaker probability (in green) is close to zero for the whole five seconds." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#collapse \n", "reference.crop(SAMPLE_CHUNK)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "`pyannote.audio` provides a convenient `Inference` class to apply the model using a 5s sliding window on the whole file:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from pyannote.audio import Inference\n", "inference = Inference(model, duration=5.0, step=2.5)\n", "output = inference(SAMPLE_WAV)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#collapse\n", "output" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(11, 293, 3)" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "output.data.shape" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "BATCH_AXIS = 0\n", "TIME_AXIS = 1\n", "SPEAKER_AXIS = 2" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "For each of the 11 positions of the 5s window, the model outputs a 3-dimensional vector every 16ms (293 frames for 5 seconds), corresponding to the probabilities that each of (up to) 3 speakers is active. \n", "\n", "## \"He who can do more can do less\"\n", "\n", "This model has more than one string to its bow and can prove useful for lots of speaker-related tasks such as: \n", "* voice activity detection\n", "* overlapped speech detection\n", "* instantaneous speaker counting\n", "* speaker change detection\n", "\n", "### Voice activity detection (VAD)\n", "\n", "Voice activity detection is the task of detecting speech regions in a given audio stream or recording. \n", "This can be achieved by postprocessing the output of the model using the maximum over the _speaker_ axis for each frame." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "to_vad = lambda o: np.max(o, axis=SPEAKER_AXIS, keepdims=True)\n", "to_vad(output)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The `Inference` class has a built-in mechanism to apply this transformation automatically on each window and aggregate the result using _overlap-add_. This is achieved by passing the above `to_vad` function via the `pre_aggregation_hook` parameter:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "vad = Inference(\"pyannote/segmentation\", pre_aggregation_hook=to_vad)\n", "vad_prob = vad(SAMPLE_WAV)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#collapse\n", "vad_prob.labels = ['SPEECH']\n", "vad_prob" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "`Binarize` utility class can eventually convert this frame-based probabiliy to the time domain:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from pyannote.audio.utils.signal import Binarize\n", "binarize = Binarize(onset=0.5)\n", "speech = binarize(vad_prob)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#collapse\n", "speech" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#collapse\n", "reference" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Overlapped speech detection (OSD)\n", "\n", "Overlapped speech detection is the task of detecting regions where at least two speakers are speaking at the same time.\n", "This can be achieved by postprocessing the output of the model using the **second** maximum over the _speaker_ axis for each frame.\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "to_osd = lambda o: np.partition(o, -2, axis=SPEAKER_AXIS)[:, :, -2, np.newaxis]\n", "osd = Inference(\"pyannote/segmentation\", pre_aggregation_hook=to_osd)\n", "osd_prob = osd(SAMPLE_WAV)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#collapse\n", "osd_prob.labels = ['OVERLAP']\n", "osd_prob" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "binarize(osd_prob)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#collapse\n", "reference" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Instantaneous speaker counting (CNT)\n", "\n", "Instantaneous speaker counting is a generalization of voice activity and overlapped speech detection that aims at returning the number of simultaneous speakers at each frame. This can be achieved by summing the output of the model over the _speaker_ axis for each frame:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "to_cnt = lambda probability: np.sum(probability, axis=SPEAKER_AXIS, keepdims=True)\n", "cnt = Inference(\"pyannote/segmentation\", pre_aggregation_hook=to_cnt)\n", "cnt(SAMPLE_WAV)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Speaker change detection (SCD)\n", "\n", "Speaker change detection is the task of detecting speaker change points in a given audio stream or recording. It can be achieved by taking the absolute value of the first derivative over the *time* axis, and take the maximum value over the *speaker* axis:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "to_scd = lambda probability: np.max(\n", " np.abs(np.diff(probability, n=1, axis=TIME_AXIS)), \n", " axis=SPEAKER_AXIS, keepdims=True)\n", "scd = Inference(\"pyannote/segmentation\", pre_aggregation_hook=to_scd)\n", "scd_prob = scd(SAMPLE_WAV)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#collapse\n", "scd_prob.labels = ['SPEAKER_CHANGE']\n", "scd_prob" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Using a combination of `Peak` utility class (to detect peaks in the above curve) and voice activity detection output, we can obtain a decent segmentation into speaker turns:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ ", , , , , , , , ])>" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from pyannote.audio.utils.signal import Peak\n", "peak = Peak(alpha=0.05)\n", "peak(scd_prob).crop(speech.get_timeline())" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#collapse\n", "reference" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### What `pyannote/segmentation` CANNOT do \n", "\n", "Now, let's take a few steps back and have a closer look at the raw output of the model." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": 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3BC4AII8FI5mdnFvqneeitSdLGRddZFwAwOHQm3ExjvZ22aXO8rU/S+31GagVAGDEiiqdZXfziE/pCjnDRBV6XDJNIxu1AgAgLxC4AIA8lsy4yNBQUZJUVuD0zG3L0lBRzeMdugQAMKxgJKa2eAC6cjxzCtWdKM1eLcXC0rM/zlDtAAAjMpaMi+T8FgwTBQCY3AhcAEAey/QcF5IUKMzuUFGJjItKhooCgKw50B6UJPnc5vgyLgxDesd1zvrLv2OSbgA4nMYwx0ViqCgCFwCAyY7ABQDksZ54j6pMBi7K4nNcZGNybtu21RIPiJQzVBQAZE19mxO4qC0rkGGMc6iQhedKZbOlYKu0+e5x1w0AMELjyrhgfgsAwORG4AIA8pRt2+qOZH6oqMQQTm1ZmOOiKxxTOGpJGsdksQCAYTXEAxfTS/3jL8x0Scvf76zvemr85QEARiaZcTGGOS4yOAceAAD5iMAFAOSpUNSSbTvrBZ4MZlwUJjIuMj9UVGKYKL/H5MsUAGTR/jZnSKcZgQwELiSp9rh4wa9kpjwAwPAK45NzjyLjojsxVFQGOzYBAJCPCFwAQJ5KzG8hZbZHVaAgMcdF5jMuWuKBiwom5gaArEpmXGQscHGMs2x8XYoEM1MmAGBoY5jjojPE5NwAgKmBwAUA5Knu+Pi1XrcplznO8ctTlMWDCq1ZGCoqMb9FGYELAMiqxBwXM8oKMlNg6Uyn568VlQ5uzkyZAIChJea46G6RLGtEpyS+IxSR3QwAmOQIXABAnuqJZ1xkcmJuSSqPDxXVloWhotriWRyJ4agAANmRyLiYkYk5LiTJMKTpRzvrB7ZkpkwAwNASQ0XZMSnYOqJTOhNDRZFxAQCY5AhcAECe6klMzJ3B+S2k3qGispFxkZjwO/EaAIDsqM/0UFGSVD7HWbbtzVyZAIDBub2SL+Csj3Cei2TGhY85LgAAkxuBCwDIU8GIky7uz3DgojQeVOgIRmUnZv/OkETggowLAMiecNRSU2dIUgYn55ak0lnOksAFABw+RfGsixHOc8EcFwCAqYLABQDkqWA848LnzmxTXeJ3vuTELDttAvBMSAQuSsm4AICsOdDuZFt43aYqijI4p1AgHrhoJ3ABAIdNYp6LkWZcJIaKyvBwsgAA5BsCFwCQp0LR7GRcFHhccscn+24PZna4KIaKAoDsS07MHfDLMIzMFRyY6Szb9mWuTADA0IoSE3SPLHDRFSbjAgAwNRC4AIA8lci48Hsy21QbhpE2XFQmtXYTuACAbKtv65EkTc/UxNwJgZShojI8lCAAYBCJCbq7mkd0eFd8qKhCL4ELAMDkRuACAPJU71BRmU8DTwwX1Z7hCbrbybgAgKxrSMm4yKjSeMZFtEfqOZTZsgEAAxttxkV8qKhiMi4AAJMcgQsAyFPB5FBRmW+qS/3ZybhgqCgAyL7kUFFlBZkt2O2TiqY56217Mls2AGBgo5zjIjFUVKGPOS4AAJMbgQsAyFOh5FBRmf9SUloQz7hgjgsAmHASQ0VlPONCShkuinkuAOCwSASMR5xx4QQuyLgAAEx2BC4AIE8lJ+fOxlBRPiewkOmhohKBi7ICb0bLBQD02tnULUmqKy/MfOGJ4aLaCVwAwGFRNMo5LsJO56ZCLxkXAIDJjcAFAOSp5BwX2RgqKplxkbmhosJRSz3xOpNxAQDZEYlZ2t7UKUlaWFOc+RcI1DlLhooCgMOjcORzXERilsLxzk1kXAAAJjsCFwCQp4LZHCoqPsdFJoeKSmRbGEbv5N8AgMza2dSlSMxWkdelmZme40KSAvGMC4aKAoDDoyhljgvbHvLQ7vjE3JJU6OV6GwAwuRG4AIA81TtUVOab6pJE4KIncxkXbT1hp2yfW6ZpZKxcAECvrQc6JEkLa0pkGFloaxNDRbXtzXzZAJBFoWhM9jA3/vNSIuPCikih9iEP7YxPzO11mfJm4TsCAAD5hE86AMhTvUNFZW9y7o4MZlw0dzqBi8piX8bKBACke/OAM0zU4pqS7LxAYqgo5rgAMIE8+voBHfm1h/STJ7bluiqj5/FL3vjQf11DDxfVHZ+Yu9DH/BYAgMmPwAUA5KlgJJ5xkYXARTLjIoNzXDR3xQMXRUzMDQDZ8tw2Z/LWo2aWZucFEkNFte+XrNjQxwJAHojGLF3zuw2KWba+89DWjA6FetgU1zjLYYLGnfHARRHDRAEApgACFwCQp0LReMZFFtLAS+NzUCTmpciE5s6QJKmyeIjARSwqbb5L+r/rpT3PZ+y1AWAqaOwI6YVdLZKkc5bWZOdFimsk0y3ZMamjPjuvAQAZ9OgbBxWJ9Q4Rdefzu3NYmzGqWuQsG7cOeVh32Pl+UETGBQBgCiBwAQB5KpsZFzWlfklSQ1tPxspsGm6oqPZ66daTpT9dJb34S+lX50ub/pyx1weAye7vWxpk29KKWQHVZmNibkkyXVJglrPeOgFv/gGYcp7YelCSVOR1rplve3qnIjErl1UavWmLneUwgYvEMK9FPjIuAACTH4ELAMhTiTku/J7MN9Uzy50bXgc7QgpHM/PFriU+VFTVQENFxaLSXz4mNW2V/GVSxXynN+/dn5J2PZOR1weAye7B1xokSecvm5HdFyqf5yxbdmT3dQBgnGzb1tqtjZKk7192jKqKfapvC+q+VydYxti0Jc6y8Y0hD9t7yOl0VBvIUvAaAIA8QuACAPJUMB5Q8Lszn3FRWeSVz23KtqWGtmBGymzucoaKqhgocLH2m9Kup5yJBz/2qPTZDdLS90ixsPSHD0gbfi3VvyIF2zJSFwCYbNq6I3o2Pr/F+cumZ/fFyuc6y0M7s/s6ADBObx/s1P62oHxuU6ctmqarTp4jSfrZuu2ybXuYs/PICDMuEoGLWRUELgAAkx+BCwDIU6F4xoUvCxkXhmFoZnyYkX2tmRkuatChojoOSE9931m/8AdS1QLJNKVLfirNXCUFW6W/XSv99DTpm7OlX10gbX9CmkhfNgEgyx7cXK+oZWvJ9BLNqyrK7otVxDMuDpFxASC/rX3TybY4cX6l/B6XPnTiHBV4XNpS3657Nu7Pce1GITHHRddBqfPgoIftaemWJM2uKDwctQIAIKcIXABAngpFszfHhaTk+OiZClwMOjn3q2skKyrNOl5a/r7e7d5C6ar/k07/V2dfYZWzffcz0u0XST9aKd3xj9JvLpR+f7n03P+TIpmbkwMAJpI71jvzTVx87MzsvxgZFwAmiETg4vRF0yRJ5UVefeK0+ZKkL/91k/Zn6Do363zFUs1yZ33HukEP2x0PXNSVE7gAAEx+BC4AIE8l57jIwlBRkpIZF5n6QtecmOOib8bFxt87y2M/3P8kT4F05peljz0ifXGb9IXN0gmflNx+qWWb9NZDzpe3Nx+QHvyS9INjpOd/LkVDGakzAEwE67c369W9bfK6TL1/5azsv2AicMEcFwDyWFtPROt3tEjqDVxI0ufPXqhVc8rVE4npfx9/O1fVG735pzvLbY8PuNu27eRQUXVkXAAApgACFwCQp7I5ObeUknFxaPyBi0jMUmt3RFKfOS6a3pYaX5dMt3TkxcMXFJglvfPb0g1vSR9YI134Q+nSX0jn/ocUqJM6G6T7b5B+eJwTwDi0iyGlAExqPeGYbvrbFknSe1fO6j8cXzZUOL2V1d0kdbdk//UAYAxuf2anwlFLi2tKdMS03iH0XKahG/7BmTPijy/uUVtPJFdVHJ0jznSW2x6TLKvf7qbOsHoiMRlGbwckAAAmM3euKwAAGFhiqChfljIu5sW/4L3R0D7usnY0dUmSirwuVRSmBC623ucs554qFZSNvEB/qbT4/PRtJ14jvXy7tO67UvteJ4AhSWWzpaMvl1ZcLlUeMfY3AQB55mBHUJ/87Qa9Xt+uUr9bN5y36PC8sK9EKp/nzHHR8Ko0/4zD87oAMELRmKXbntkpSfr0mUfIMIy0/SfNr9T8aUXa3tilZ7c16fxlM3JQy1Ga8w7JWyJ17HeGTp17StrurQ0dkpyghddNH1QAwOTHpx0A5CHbtrOecXFsXZkkafP+9uRrjdXr9U7wY8mMUplm/IujbUub/uysL3nXuMqXJLm90vEfkz7/snT+t6Ta45xMjtbd0rpvSz86Trr9Yib2BjApvLKnVe/50dN6eXerSv1u/eqq4w9PtkXCjKOdZf0rh+81AWCEXtrdqpausAIFHr1r+cBBidMWOsNHrXur6XBWbew8BdKyS5z1l+/ot3v9jmZJ0vFzKw5nrQAAyBkCFwCQhyIxW1b83rsvS5NzzyovUFWxT1HL1ub9beMq6/V6pwfYkuklvRt3P+f01HX7paMuHVf5aTx+6aRrpE88Lv3rHum9v5QWnCMZprT9cWdi71+dL+14MnOvCQCH0QOb6vX+nz6rhvagFlQX657PnqJVh/tG1fRE4OLVw/u6ADACj71xUJJ0xuJpcrsGvq1x2qIqSdK6NxtlT5ROLcfE54R77S9SR0ParvXbnaH7TppP4AIAMDUQuACAPBSM9mZAZCvjwjAMHTu7TJL00q7WcZWVGG5qyYzS3o0v/85ZLn+/VFQ5rvIH5S2Ulr9P+vBfpM9vlE74hBMo2fOc9Jt3S797r9TTmp3XBoAsePrtJn3+zpcVjlo6Z2mN7vr0yZpXVTT8iZk24xhnue9FstgA5J0ntjqBi7OWVA96zEnzK+VxGdp7qCc5rGneqztBqjtJioWkp/4nubknHNPGPa2SnPcFAMBUQOACAPJQW3yia6/blHeQXmSZsGpOuSRp/Y6xT74aiVnatNfJ2FialnHxjLMcyaTcmVA+R3rnd5wAxvEfl0yP9PYj0h3vlyLBw1MHABiHzfvb9MnfblAkZutdy2fop1esVInfk5vK1J0guQukQzulfRtyUwcAGMChrrDeiM/38I4FVYMeV+h1a9UcJzvhyYkyXJRhSGd8yVl//mfS/o2SpGe2NSkcszSzrECzKwpzVz8AAA4jAhcAkIca2p0b7dNL/f0mG8yk1Uc4PbbWb29WNGaNqYwHX2tQc1dYVcVeLZ8VcDZ2Nkot2531WasyUdWRK50hveu/pY8/JvnLpL3PS3//t8NbBwAYpf2tPbrqthfUGYrqxHkV+u4/rpDLzF77Pyx/qXTkRc76hl/nrh4A0MfzO50ONwuqi1U1zNw/py2Kz3PxZmPW65UxR5zlDLNqx6R7PyfFono8nmFy5pJpWf1uAABAPiFwAWDcJsyYsRNIQ1tv4GJIVswZCskaW9DhqNqASvxudYSi2ry/fUxl/PqZnZKkD504Rz53fD6Ovc87y2lLpYKyMZU7bjOOdua/kJybbsHxzeMBANkSjMT0qd9tUGNHSItrSvSzj6ySP0vzG43Kqo86y1fu7A1GA0COPbfdmaT6xHnDz/WQmOfi2e3NCkfHdr2cExd8y+mA0/CqIuu+r4e3HJA09NBYAABMNgQuAIzZGw3t+swdL+k7D23NdVUmnWTgIjBA4MKypDcfcoZAunmm9K050s0zpN+9T3rxNufmUtte6a1HpJdulx6/RbrrU9KT35NeWZMW5HCZhk6c52RdPPr6gVHX89W9rdqw65A8LkMfOml2747ta51l3QmjLjOjFp4jVS2SrIj01sO5rQsADOLrf9uiV/a2KVDg0S+uXKVAQY6Gh+pr9knSEWc7beiDX2GuCwB54em3nWGfRjLXw9Lppaoq9qo7HNOGXYeyXbXMKa6Wzv+mJMlc900Vd2zX9FK/Tj5i8KGxAACYbNy5rgCAiWvfoR7dt6leJT63PnXGEbkbh3sSSg4VlQhc7HlBevy/nKBER70UC6efEA1Kbz/sPIbT+IZ0zo3Jp+85plaPvH5Af96wV9ees2jEQ5OEojHdfP/rkqR3H12r6pJ4XS1L2nKPs77kXSMqK6uWvEt66k3pjfucibwBII889VaT/vD8bhmG9MMPHKu6fBu7/Lz/lH72pPTmA9L6/yed9Klc1wjAFLb3ULfePNAp05BOWzht2ONN09CpC6fprpf3ae2bjclhUieEFZdLr/xerh3rdKa5USsvvDA/svEAADhMyLgAMGZnLq7WEdOK1BGK6g/P7851dSaVROCiptQvHdgi3X6RtP1xqXWXE7TwB6STPyd96lnpqwekTz8nnX2jNHOl5PI6E1NXLpQW/oO04oPSsvc550jSU9+TWnYkX+u8I2tUVujR/rag7ttUP6L6NXeGdOWvntdz21tU6HXp02cc0btz97NSZ4PkC0jzz8zYz2TMFseDJ28/IkXDQx8LAIdROGrpxntfkyRduXquTl80/E24w67mSOnsrznrD/6r9NJvc1sfAFPa41uduSpWzilXoHBknabOjA+vtOaF3WoPRrJWt4wzDNmzV0uSFhl7e+eSAwBgiiDjAsCYmaahT5w2X1/6yyZ9/+G3dNaSai2oLsl1tSaFA6lzXKz/nhTpkuacIp31b1JgplQyQ3KlfFmrXuo8Tr2+dyiPgSbu+9UF0u5npO1PSBXzJEl+j0sfPXmevv/Im/rG37bohLkVAw9RFffavjZ98rcbtK+1R0Vel37+kVVaWJPy7/7KH5zl0gslt3c8P4bMmLlSKq6ROg9IO5+UFpyd6xoBgCTptqd3aFtjlyqLvPrCuYtyXZ3Brf6s1L5feu4nzkSx0aB0wsdzXSsAU4xt21rzgtNZ6qwlNSM+753Lput/phVpe2OXfvjIW/q3dx+ZrSpmXGfpQpVIWmTu7c1uBgBgiiDjAsC4vG9lnd6xoFI9kZg+c8fL6gnHcl2lSaE+HriYUWxIW+51Np7xJWnOaqlsdnrQoi/DGDhoIUnzT3eWO9albb7mjPlaUF2sps6Q/vGnz+rJtxplWb1jmUdill7efUg33vOaLv3JM9rX2qN5VUW6+zPv0MkLUsbaDXVKm+9y1o/54Kjec9aYprT4Amd9059zWxcAiNvT0q3/eeQtSdKXLliSP/NaDMQwpH+4WTr+45Js6f4bpK0P5rpWAKaYR18/qNf2tavA49Llx9eN+Dy3y9S/v8sJVvzy6R268/ndsifInD0H/HMlSceY2+Rt3ORcawMAMEUQuAAwLi7T0P9cdqyqin3aeqBD1975sqIxa/gTMaj9rT2qb+uRJM1vWy8FW6Xi6dKcd4y/8LmnOssd66RIMLnZ53bp1x89XjPLCrS7pVtX/PJ5HXnjgzr7u0/o9O88ruU3PaRLfvKMfvPsLoVjls5ZWq27P/OO9EwLSdrwayncKVXMl+acPP76ZsqKeBDllT9I+zbkti4AprxozNI//+kV9URiOmFehd533KxcV2l4hiG98zvSCZ9wnt/zGWnfS7mtE4C88vjWg3ptX1vGyz3YHtQd63fpC3/cKEm6YvUclReNLqv3zCXVumxVnWxb+te/btIVv3xe2xvzPwiw16jtffLT06TvHyk9d6sUm0BDXgEAMEYELgCM27QSn/73g8fK6zb19y0H9OW/bkrrrY/RWfPCHlm2dNL8CpVti2dbLLtUMjMwGd+sVc6wSd1N0sNfS99VXqj7P3+qrlw9R8U+t4IRS9sau7SruVvBiKWyQo8uWDZdv/2nE/Tzj6zq3zs42C49+V1n/ZQvDJ71kQuzT5SWv1+SLT3/i1zXBsAU952/b9XzO1pU5HXpW+89WqaZR+3lUAxDOvcb0vTlzufIL86W7vqU1PhmrmsGIMfWvdmoj//mRV35q+f15oGOcZUVs2xt2NWi/35oq971wyd1ws2P6qt3vaaOYFQrZgV0/RiH1vuvS5bpyxcskc9t6qm3m/QP/7NO33zgDXWFouOqbzbVd8b0srWgd0OwzZlv6N7P5a5SAAAcJoY9xhzJ9vZ2BQIBtbW1qbS0NNP1AjABPbS5QZ/63QZZtvSeFbX65nuXq9DLVDqjsbOpSxf+6Cl1hKL63/cv1rsePFWKdEsfe0yatTIzL/LWI9Id73XWP7BGWnx+v0MiMUt7D/Vof2uPfG5TFUVeza0sGvrm2uO3SGu/6UwK/unnJFee/dtve0z67SVS6UzpC5vzK7ACYEqwbVu/fmanvv63LZKkn3zoOL1z+Ywc12oMgm3OTbMt9/Rum71aqjtRqj5SqlroDGtYWElbC0wR7cGIPvCz57R5f7sMQzplQZWOnFGqiiKvinxuBQo8qiz2ym2aOmJakSqLfZKkrlBUW+rb9dq+Nm3a16Y36ju051C3OoLpwYQVswJ65/IZ+tBJTgeb8djZ1KWv/21zcqLvmlKf/vm8xXrPilr5PRnoKJRB33/4Tf3x0ef0saVR/dOHr3Cym++/QTJM53q2tHbYMgAAONwyFTcgcAFgfF74pbTofGfCaEn3bNynf/7jK4patmaVF+jzZy3UxcfOlNdNgtdw3jrQoat/84L2tPTo+LnlunP1Prnu+phUPk/6/MuZvfnz4JedSVYLKqRrnpQC4xympHGr9LMznUnE//F26ciLMlPPTAp3S9+aI8XC0mc3SFULhj8H6ayY1NXoTHTeccAJTtUsd7KBCityXTvkUMyy5ZooWQM50hmK6l//8qr+79V6SdLHT52nr75r4kwQO6C9G6Qn/1t680HJHmCYyOIaZ5jDue+Q5pwiTVtMIAOYxJo6Q7r+j69o3ZuNwx47v6pI3eGYDnQENdAdiUCBR6ctmqYzF0/TaYumqSoe6MikR18/oK//bYt2t3RLkgo8Lp2ysEpnL6nWqYumqTbgl5HjNuuGP72iP2/Yqy+cs0jXnrPQ2fir86Xdz0pnflU6/Ys5rR8AAAMhcAEg915ZI931CalkhvSeH0lHnCWZLj2zrUlfWLNRB9pDkqRSv1tnL63R8XMrtKIuoEU1JfK4CGRITu/b9Tta9Pv1u3X/pnpFLVtzKgv1x0+uVs19H5W23i+deoN09r9n9oWjIemX50r1r0iBOuk9P3T+/Ub/BpxMhns/L7XvleadJn3k3vy9MfXrd0s7n3Ruti+9UKo7Xpp1vOQrGf7cqcq2pbcfkZ7/mbR9rRQL9T/GcEk3thz+uiEvtAcjOvVbj+uEeRWqLvHJsm1ZllTgdem4OeVaPb9S00oyf8NpImnpCuuynz6rtw52ym0a+vI7l+rqd8zN+Q2xjGnbJ735gHRgi3Rwi9SyQ+ps6H9cYZUz/9GMFVLJdKlommRFpXCXMz+Su8AZ0rByQf5+jgAY1q7mLj285YAa2oJq7gqrMxRVW09ELV1hBSMx7T3Uk3Z8TalPy2cGtGxmQEfVBjSrvEALq4vlPgzfF4KRmG5/dqdue3qn6tuCafumlfh0dLxec6sKVRsoUG1ZgWpK/RnrlPX8jhb9dO02VRR5dd25izSzrEB7Wrr1t1f3696N+/VGgzPs1rffe7T+MTEheeI7WKDOaVP3rJdO/rx01CVSQfno289YVAq1O49gu9Mm+4olf0DylznXybTJAIBRIHABIPdad0u/e5/UtNV5XlIrrbhMOvJidVcepTvW79HPn9yugx3pNzpdpqEZAb9mlRdoZlmhppX4VFHkUUWRsywv9Kq0wKNCr0uFHrcKvK4Jk7Fh27YiMVvBaEw94Zg6glF1BCPxpbPe0h3W7uZu7Wzu0vbGrrSfzzlLq3XzJctV3fm69ItzJSviDLtUvTTzlT200xk6qWW78/zoy51eWxXzh/5yEotK+19ybmJvuUc6sMnZXrlA+uiDUvG0zNc1U956RPrDZc6NsgTDdMZrrzvJee+lM5zf5cIKyXRLLo+TmeLx567e2WbbztAv3c1Sd4vU0+KsH9gsvXGfdGhH77GG6dxsLK6Wupqljv3Oz+lrzbmrP3Lqoc0N+uRvh570fm5loY6dXa65lUVaMqNEJX63FtWUZKUHbb7Z39qjT/1ug17Z26aaUp9+8qHjtHLOFMhQivRI+zZIO5+Wdj0l7XlBivYMf57ktLl1JzpBjMAs50Zc4lEyw7mhBmDCauwI6fX6dpUVelRbVpAXnwW2bWtLfbsee/2gHn3joDbta1NskDn7DEOaVuzT9IBf1SV+VZf6VF3iU02pX9UlvuQ2n9tUzLI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"text/plain": [ "" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#collapse\n", "output" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Did you notice that the blue and orange speakers have been swapped between overlapping windows `[15s, 20s]` and `[17.5s, 22.5s]`?\n", "\n", "This is a (deliberate) side effect of the permutation-invariant training process using when training the model. \n", "The model is trained to discriminate speakers locally (i.e. within each window) but does not care about their global identity (i.e. at conversation scale). Have a look at [this paper](http://arxiv.org/abs/2104.04045) to learn more about this permutation-invariant training thing.\n", "\n", "That means that this kind of model does not actually perform speaker diarization out of the box. \n", "Luckily, `pyannote.audio` has got you covered! `pyannote/speaker-diarization` [pretrained pipeline](https://hf.co/pyannote/speaker-diarization) uses `pyannote/segmentation` internally and combines it with speaker embeddings to deal with this permutation problem globally." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## That's all folks! \n", "\n", "For [technical questions](https://github.com/pyannote/pyannote-audio/discussions) and [bug reports](https://github.com/pyannote/pyannote-audio/issues), please check [pyannote.audio](https://github.com/pyannote/pyannote-audio) Github repository.\n", "\n", "[I](https://herve.niderb.fr) also offer scientific consulting services around speaker diarization (and speech processing in general), please contact [me](mailto:herve@niderb.fr) if you think this type of technology might help your business/startup!" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" } }, "nbformat": 4, "nbformat_minor": 2 }