{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\"FMP\"\n", "\"AudioLabs\"\n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\"C1\"\n", "

Chroma and Shepard Tones

\n", "
\n", "\n", "
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\n", "In this notebook, we discuss the notion of chroma and introduce Shepard's helix of pitch following Section 1.1.1 of [Müller, FMP, Springer 2015]. Furthermore, we introdue a sonfication of chroma using Shepard tones. \n", "

" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Chroma\n", "\n", "Ordering all notes of the equal-tempered scale according to their pitches, one obtains an equal-tempered **chromatic scale**, where all notes of the scale are equally spaced. The term **chromatic** is derived from the Greek word **chroma**, meaning color. In the music context, the term **chroma** closely relates to the twelve different pitch classes. For example, the notes C2 and C5 both\n", "have the same chroma value C. In other words, all notes that have the same chroma value belong to the same pitch class.\n", "\n", "Notes that belong to the same pitch class (or have the same chroma value) are perceived as similar in a certain way. In contrast, notes that belong to different pitch classes (or have different chroma values) are perceived as dissimilar. This justifies the usage of the term **chroma** in the sense that\n", "notes with different chroma values have a different **sound color.** The cyclic nature of chroma values is illustrated by the **chromatic circle** as shown in the following figure. Extending this notion, **Shepard's helix of pitch**, named after Roger Shepard (\\* 1929), represents the linear pitch space as a helix wrapped around a cylinder so that octave-related pitches lie along a single vertical line. The projection of the cylinder onto the horizontal plane yields the chromatic circle.\n", "\n", "\"C1\"" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Shepard Tones\n", "\n", "Shepard's helix of pitch can be sonified using Shepard tones, each being a weighted superposition of sine waves separated by octaves. When playing these tones moving up the chromatic scale, one obtains the auditory illusion of a tone that continuously moves up (similar to the visual illusion of the every ascending Penrose stairs). \n", "\n", "\"C1\"\n", "\n", "In the following code example, only sine waves within the human range of hearing (frequencies from approximately 20 to 20000 Hertz) are used. No specific weighting is used, i.e., all sine waves have an amplitude of one. Finally, Shepard tones are generated for a chromatic scale starting with C3 (MIDI pitch 48) and ending wtih C5 (MIDI pitch 72).\n", "\n", "\"C1\"" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "execution": { "iopub.execute_input": "2024-02-15T08:45:09.368802Z", "iopub.status.busy": "2024-02-15T08:45:09.368553Z", "iopub.status.idle": "2024-02-15T08:45:10.542126Z", "shell.execute_reply": "2024-02-15T08:45:10.541379Z" } }, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import numpy as np\n", "import IPython.display as ipd\n", "\n", "def generate_shepard_tone(freq=440, dur=0.5, Fs=44100, amp=1):\n", " \"\"\"Generate Shepard tone\n", "\n", " Notebook: C1/C1S1_ChromaShepard.ipynb\n", "\n", " Args:\n", " freq (float): Frequency of Shepard tone (Default value = 440)\n", " dur (float): Duration (in seconds) (Default value = 0.5)\n", " Fs (scalar): Sampling rate (Default value = 44100)\n", " amp (float): Amplitude of generated signal (Default value = 1)\n", "\n", " Returns:\n", " x (np.ndarray): Shepard tone\n", " t (np.ndarray): Time axis (in seconds)\n", " \"\"\"\n", " N = int(dur * Fs)\n", " t = np.arange(N) / Fs\n", " num_sin = 1\n", " x = np.sin(2 * np.pi * freq * t)\n", " freq_lower = freq / 2\n", " while freq_lower > 20:\n", " num_sin += 1\n", " x = x + np.sin(2 * np.pi * freq_lower * t)\n", " freq_lower = freq_lower / 2\n", " freq_upper = freq * 2\n", " while freq_upper < 20000:\n", " num_sin += 1\n", " x = x + np.sin(2 * np.pi * freq_upper * t)\n", " freq_upper = freq_upper * 2\n", " x = x / num_sin\n", " x = amp * x / np.max(x)\n", " return x, t\n", "\n", "def f_pitch(p):\n", " F_A4 = 440\n", " return F_A4 * 2 ** ((p - 69) / 12)\n", " \n", "Fs = 44100\n", "dur = 0.5\n", "\n", "pitch_start = 48\n", "pitch_end = 72\n", "scale = []\n", "for p in range(pitch_start, pitch_end + 1):\n", " freq = f_pitch(p) \n", " s, t = generate_shepard_tone(freq=freq, dur=dur, Fs=Fs, amp = 0.5)\n", " scale = np.concatenate((scale, s))\n", " \n", "ipd.display(ipd.Audio(scale, rate=Fs))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Shepard–Risset Glissando\n", "\n", "Instead of using a discrete scale, one can generate a continuous version, where the Shepard tones ascend (or descent) continuously. Originally created by the French composer Jean-Claude Risset (1938–2016), this continuous version is also known as **Shepard–Risset glissando**. The following code example generates an ascending glissando. First, a **chirp** signal with an exponentially rising frequency (corresponding to a perceptually linear increase in pitch) is defined. Here, note that the instantaneous frequency is given by the derivative of the sinusoidal's argument. The created chirp signal covers exactly one octave. Then, analogous to the Shepared tones, superpositions of chirps separated by octaves are generated. After covering one octave, the end of the resulting Shepard–Risset glissando (perceptually) coincides with its beginning. Therefore, one obtains a nonstop version by concatenating several glissandi. " ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "execution": { "iopub.execute_input": "2024-02-15T08:45:10.594880Z", "iopub.status.busy": "2024-02-15T08:45:10.594596Z", "iopub.status.idle": "2024-02-15T08:45:11.025259Z", "shell.execute_reply": "2024-02-15T08:45:11.024333Z" } }, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import IPython.display as ipd\n", "import numpy as np\n", "\n", "def generate_chirp_exp_octave(freq_start=440, dur=8, Fs=44100, amp=1):\n", " \"\"\"Generate one octave of a chirp with exponential frequency increase\n", "\n", " Notebook: C1/C1S1_ChromaShepard.ipynb\n", "\n", " Args:\n", " freq_start (float): Start frequency of chirp (Default value = 440)\n", " dur (float): Duration (in seconds) (Default value = 8)\n", " Fs (scalar): Sampling rate (Default value = 44100)\n", " amp (float): Amplitude of generated signal (Default value = 1)\n", "\n", " Returns:\n", " x (np.ndarray): Chirp signal\n", " t (np.ndarray): Time axis (in seconds)\n", " \"\"\"\n", " N = int(dur * Fs)\n", " t = np.arange(N) / Fs\n", " x = np.sin(2 * np.pi * freq_start * np.power(2, t / dur) / np.log(2) * dur)\n", " x = amp * x / np.max(x)\n", " return x, t\n", "\n", "def generate_shepard_glissando(num_octaves=3, dur_octave=8, Fs=44100):\n", " \"\"\"Generate several ocatves of a Shepared glissando\n", "\n", " Notebook: C1/C1S1_ChromaShepard.ipynb\n", "\n", " Args:\n", " num_octaves (int): Number of octaves (Default value = 3)\n", " dur_octave (int): Duration (in seconds) per octave (Default value = 8)\n", " Fs (scalar): Sampling rate (Default value = 44100)\n", "\n", " Returns:\n", " x (np.ndarray): Shepared glissando\n", " t (np.ndarray): Time axis (in seconds)\n", " \"\"\"\n", " freqs_start = 10 * 2**np.arange(0, 11)\n", " # Generate Shepard glissando by superimposing chirps that differ by octaves\n", " for freq in freqs_start:\n", " if freq == 10:\n", " x, t = generate_chirp_exp_octave(freq_start=freq, dur=dur_octave, Fs=Fs, amp=1)\n", " else:\n", " chirp, t = generate_chirp_exp_octave(freq_start=freq, dur=dur_octave, Fs=Fs, amp=1)\n", " x = x + chirp\n", " x = x / len(freqs_start)\n", " # Concatenate several octaves\n", " x = np.tile(x, num_octaves)\n", " N = len(x)\n", " t = np.arange(N) / Fs\n", " return x, t\n", " \n", "glissando, t = generate_shepard_glissando(num_octaves=3, dur_octave=8)\n", "ipd.display(ipd.Audio(glissando, rate=Fs))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Risset used such a glissando in a prominent way in the second movement *Fall* of his electronic music piece *Computer Suite from Little Boy* from 1968.\n", "With the seemingly endlessly descending glissandi the composer makes reference to the atomic bomb dropped on Hiroshima.\n", "The following YouTube video gives the complete suite with the second movement starting from 4:40." ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "execution": { "iopub.execute_input": "2024-02-15T08:45:11.054394Z", "iopub.status.busy": "2024-02-15T08:45:11.054166Z", "iopub.status.idle": "2024-02-15T08:45:11.135902Z", "shell.execute_reply": "2024-02-15T08:45:11.135140Z" } }, "outputs": [ { "data": { "image/jpeg": 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\n", 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