{ "cells": [ { "cell_type": "markdown", "id": "ab942351-8c7f-4384-8549-233a9704500a", "metadata": {}, "source": [ "# Uneven rhythms" ] }, { "cell_type": "markdown", "id": "abe364e4-16d9-403f-9463-692639cba4d3", "metadata": {}, "source": [ "In this example, we will go through the methods section of a classic study by [Repp, London, and Keller (2005)](https://doi.org/10.1525/mp.2005.23.1.61).\n", "A PDF for the paper is available [here](https://www.researchgate.net/publication/38136482_Production_and_synchronization_of_uneven_rhythms_at_fast_tempi).\n", "\n", "This example makes heavy use of list comprehensions. If you do not yet understand those fully, best to take a look at [this tutorial](https://www.freecodecamp.org/news/list-comprehension-in-python/) before reading on." ] }, { "cell_type": "markdown", "id": "fb5f0631-85ff-4773-9a29-291ee001c027", "metadata": {}, "source": [ "First we do some necessary imports:" ] }, { "cell_type": "code", "execution_count": 31, "id": "89ecff60-9555-443e-93f5-bf2f02e559a1", "metadata": {}, "outputs": [], "source": [ "from thebeat.music import Rhythm\n", "from thebeat.core import Sequence, SoundStimulus, SoundSequence\n", "import numpy as np" ] }, { "cell_type": "code", "execution_count": 32, "id": "2779fc75-cd04-44c5-97cc-04181a0d2177", "metadata": { "nbsphinx": "hidden", "tags": [] }, "outputs": [], "source": [ "# We suppress warnings, but let's hide that to avoid confusion\n", "import warnings\n", "warnings.filterwarnings('ignore')\n", "%matplotlib inline" ] }, { "cell_type": "markdown", "id": "db37374a-75bb-44c2-8bfd-fecc6bbf3eea", "metadata": {}, "source": [ "---" ] }, { "cell_type": "markdown", "id": "d3a4b169-b18a-4dd9-96c9-97677e6c68c3", "metadata": {}, "source": [ "In the experiment in Repp, London, and Keller (2005), the production of and synchronization with 'uneven' rhythms was tested. These are rhythms with unusual subdivisions of timing (i.e. non-binary). Check out Figure 1 from the paper. We will only make the {2, 3} set; at the end of this example you will be able to make the other ones yourself." ] }, { "cell_type": "markdown", "id": "c1b29b23-d147-46c1-8242-043f31534ebb", "metadata": { "raw_mimetype": "text/restructuredtext", "tags": [] }, "source": [ "---" ] }, { "cell_type": "raw", "id": "32c93aae-1681-49e8-94e6-d0927f5f532f", "metadata": { "raw_mimetype": "text/restructuredtext", "tags": [] }, "source": [ "We can create these rhythms easily using the :py:class:`~thebeat.music.Rhythm` class. This class can be used to generate or plot rhythms. Note that it doesn't contain any sound, it is in essence similar to the :py:class:`~thebeat.core.Sequence` class, except that it has a ``beat_ms``, a ``time_signature`` and a list ``is_played``, which contains information about whether the notes are actually played, or whether they are rests. In addition, Rhythm objects always have ``end_with_interval=True`` (see :py:meth:`~thebeat.core.Sequence.__init__`). \n", "\n", ":py:class:`~thebeat.music.Rhythm` objects can be created in a number of ways. The constructor uses IOIs, e.g. ``r = Rhythm(500, 500, 500, 500)``.\n", "Easier is to think about it in terms of integer ratios (:py:meth:`~thebeat.music.Rhythm.from_integer_ratios`), or possibly note values (:py:meth:`~thebeat.music.Rhythm.from_note_values`)." ] }, { "cell_type": "raw", "id": "b3f36f4c-2834-430b-8660-d2013545c211", "metadata": { "raw_mimetype": "text/restructuredtext", "tags": [] }, "source": [ "Example rhythm\n", "--------------\n", "\n", "As an example let's create the first rhythm from set A, and then print and plot it. We'll do it in 5/8 time signature to make the plot the same as in the illustration above.\n", "\n", ".. note::\n", " ``beat_ms`` also adheres to the denominator of the time signature. As such, changing from 5/4 to 5/8 doesn't change the tempo." ] }, { "cell_type": "code", "execution_count": 33, "id": "113a6f36-f9eb-4155-a693-79634da182a2", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Object of type Rhythm.\n", "Time signature: (5, 8)\n", "Number of bars: 1.0\n", "Beat (ms): 170\n", "Number of events: 2\n", "IOIs: [340. 510.]\n", "Onsets:[ 0. 340.]\n", "Name: None\n", "\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "r_23 = Rhythm.from_integer_ratios([2, 3], beat_ms=170, time_signature=(5, 8))\n", "print(r_23)\n", "\n", "r_23.plot_rhythm(dpi=600);" ] }, { "cell_type": "markdown", "id": "c7068d31-aca4-4650-9475-1c5f1703def9", "metadata": {}, "source": [ "To elongate this rhythm we can do:" ] }, { "cell_type": "code", "execution_count": 34, "id": "919ca609-6a7a-4cca-8d63-c5a22064a423", "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "r_23 = r_23 * 3\n", "r_23.plot_rhythm(dpi=600);" ] }, { "cell_type": "code", "execution_count": 35, "id": "cfade658-a157-42b4-ab8e-030451c090c6", "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "seq = r_23.to_sequence()\n", "fig, ax = seq.plot_sequence();" ] }, { "cell_type": "markdown", "id": "d97fb1e7-cc49-4b2a-af41-cdb309a35ce0", "metadata": {}, "source": [ "---" ] }, { "cell_type": "markdown", "id": "944703ad-b25f-4ac8-a02a-ebd17b9273fa", "metadata": {}, "source": [ "## Creating the {2, 3} set\n", "\n", "In the method section it says:\n", "\n", "> \"\\[The tempo\\] decreased from 170 ms in the first trial to 100 ms in the eighth trial, in steps of -10 ms.\"\n", "\n", "So, we'll now create the two rhythms of the {2, 3} set at the eight different tempi mentioned above. For convenience, we'll call the set 'Set A' from now on. " ] }, { "cell_type": "code", "execution_count": 36, "id": "4f9eeba7-0ffe-4b3d-9e58-067e9d838b44", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[170 160 150 140 130 120 110 100]\n" ] } ], "source": [ "# Create tempi\n", "tempi = np.arange(170, 90, -10) # as arange does not include the enpoint we stop at 90 instead of 100\n", "print(tempi)" ] }, { "cell_type": "code", "execution_count": 37, "id": "dd9f1179-6c27-45ae-8e31-015b71caf505", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[Rhythm(name=2_3_170ms, n_bars=3.0, time_signature=(5, 4)), Rhythm(name=3_2_170ms, n_bars=3.0, time_signature=(5, 4)), Rhythm(name=2_3_160ms, n_bars=3.0, time_signature=(5, 4)), Rhythm(name=3_2_160ms, n_bars=3.0, time_signature=(5, 4)), Rhythm(name=2_3_150ms, n_bars=3.0, time_signature=(5, 4)), Rhythm(name=3_2_150ms, n_bars=3.0, time_signature=(5, 4)), Rhythm(name=2_3_140ms, n_bars=3.0, time_signature=(5, 4)), Rhythm(name=3_2_140ms, n_bars=3.0, time_signature=(5, 4)), Rhythm(name=2_3_130ms, n_bars=3.0, time_signature=(5, 4)), Rhythm(name=3_2_130ms, n_bars=3.0, time_signature=(5, 4)), Rhythm(name=2_3_120ms, n_bars=3.0, time_signature=(5, 4)), Rhythm(name=3_2_120ms, n_bars=3.0, time_signature=(5, 4)), Rhythm(name=2_3_110ms, n_bars=3.0, time_signature=(5, 4)), Rhythm(name=3_2_110ms, n_bars=3.0, time_signature=(5, 4)), Rhythm(name=2_3_100ms, n_bars=3.0, time_signature=(5, 4)), Rhythm(name=3_2_100ms, n_bars=3.0, time_signature=(5, 4))]\n" ] } ], "source": [ "set_a = []\n", "\n", "for tempo in tempi:\n", " set_a.append(Rhythm.from_integer_ratios([2, 3] * 3, \n", " beat_ms=tempo, \n", " time_signature=(5, 4), \n", " name=f\"2_3_{tempo}ms\"))\n", " set_a.append(Rhythm.from_integer_ratios([3, 2] * 3, \n", " beat_ms=tempo, \n", " time_signature=(5, 4), \n", " name=f\"3_2_{tempo}ms\"))\n", "\n", "# Let's see what Set A looks like now\n", "print(set_a)" ] }, { "cell_type": "raw", "id": "ec634011-21b9-4ad7-8ef0-959fc3fda313", "metadata": { "raw_mimetype": "text/restructuredtext", "tags": [] }, "source": [ "That looks OK. Now how do we get sound? For that we do three things:\n", "\n", "1. Generate a sound using :py:meth:`thebeat.core.SoundStimulus.generate`.\n", "2. Convert the :py:class:`~thebeat.music.Rhythm` to a :py:class:`~thebeat.core.Sequence`.\n", "3. Combine 1 and 2 in a :py:class:`~thebeat.core.SoundSequence` which we can play." ] }, { "cell_type": "code", "execution_count": 38, "id": "56d5eca2-dd24-4dde-a443-dc579d47d417", "metadata": {}, "outputs": [], "source": [ "# 1. generate a sound (2640 Hz acc. to the paper, duration wasn't specified)\n", "stim = SoundStimulus.generate(freq=2640, duration_ms=50, offramp_ms=10)\n", "\n", "# 2. convert all Rhythms to Sequence. We use a list comprehension here:\n", "set_a_seqs = [rhythm.to_sequence() for rhythm in set_a]\n", "\n", "# 3. generate trials. we also copy the name of the Sequence to the SoundSequence.\n", "trials = [SoundSequence(stim, sequence, name=sequence.name) for sequence in set_a_seqs]" ] }, { "cell_type": "code", "execution_count": 39, "id": "69ea4640-7d29-4802-8822-4c1fd470cf15", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[SoundSequence(name=2_3_170ms, n_events=6), SoundSequence(name=3_2_170ms, n_events=6), SoundSequence(name=2_3_160ms, n_events=6), SoundSequence(name=3_2_160ms, n_events=6), SoundSequence(name=2_3_150ms, n_events=6), SoundSequence(name=3_2_150ms, n_events=6), SoundSequence(name=2_3_140ms, n_events=6), SoundSequence(name=3_2_140ms, n_events=6), SoundSequence(name=2_3_130ms, n_events=6), SoundSequence(name=3_2_130ms, n_events=6), SoundSequence(name=2_3_120ms, n_events=6), SoundSequence(name=3_2_120ms, n_events=6), SoundSequence(name=2_3_110ms, n_events=6), SoundSequence(name=3_2_110ms, n_events=6), SoundSequence(name=2_3_100ms, n_events=6), SoundSequence(name=3_2_100ms, n_events=6)]\n" ] } ], "source": [ "print(trials)" ] }, { "cell_type": "markdown", "id": "ca0d4f5a-9ef8-4673-a5eb-51c07ed403ea", "metadata": {}, "source": [ "---\n", "That's it! We can now plot, play or write all these files to disk. We'll grab one which we'll plot and play. How to write all these files to disk you can see in the code block at the bottom of this page." ] }, { "cell_type": "code", "execution_count": 40, "id": "b0b07c77-07ab-48ba-a351-a5201d48fdb5", "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "random_trial = trials[0]\n", "\n", "random_trial.plot_waveform(figsize=(8, 3));\n", "random_trial.plot_sequence(figsize=(8, 2), dpi=600);" ] }, { "cell_type": "raw", "id": "71867685-99ee-4b35-9f02-c551ce6b9a6e", "metadata": { "raw_mimetype": "text/restructuredtext", "tags": [] }, "source": [ ".. note::\n", " On your computer you can simply do ``random_trial.play()`` to listen to the sound. However, for this website we need some different code. So you can ignore the code below." ] }, { "cell_type": "code", "execution_count": 41, "id": "26b28902-6a1a-45da-9f34-f1b366c35f58", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "execution_count": 41, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from IPython.display import Audio\n", "Audio(random_trial.samples, rate=random_trial.fs)" ] }, { "cell_type": "markdown", "id": "68f83f43-01b8-4cc7-9b47-9e0d043e4653", "metadata": {}, "source": [ "## Writing everything to disk\n", "\n", "To write all these files as wav files to disk, you could do:\n", "\n", " for trial in trials:\n", " trial.write_wav('output_dir')\n", "\n", "This would use the names that we gave the trials as the output filename, for instance \"2_3_170ms.wav\"." ] }, { "cell_type": "markdown", "id": "88f9242f-4c36-437e-9ea6-5754cfaceb7d", "metadata": {}, "source": [ "## Code summary" ] }, { "cell_type": "code", "execution_count": 42, "id": "df480aca-0566-46bc-b242-684f82a86e5d", "metadata": {}, "outputs": [], "source": [ "from thebeat.music import Rhythm\n", "from thebeat.core import Sequence, SoundStimulus, SoundSequence\n", "import numpy as np\n", "\n", "tempi = np.arange(170, 90, -10)\n", "\n", "set_a = []\n", "\n", "for tempo in tempi:\n", " set_a.append(Rhythm.from_integer_ratios([2, 3, 2, 3, 2, 3], \n", " beat_ms=tempo, \n", " time_signature=(5, 4), \n", " name=f\"2_3_{tempo}ms\"))\n", " set_a.append(Rhythm.from_integer_ratios([3, 2, 3, 2, 3, 2], \n", " beat_ms=tempo, \n", " time_signature=(5, 4), \n", " name=f\"3_2_{tempo}ms\"))\n", "\n", "stim = SoundStimulus.generate(freq=2640, duration_ms=50, offramp_ms=10)\n", "\n", "set_a_seqs = [rhythm.to_sequence() for rhythm in set_a]\n", "\n", "trials = [SoundSequence(stim, sequence, name=sequence.name) for sequence in set_a_seqs]" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.9.16" } }, "nbformat": 4, "nbformat_minor": 5 }