Timbre

From Infogalactic: the planetary knowledge core
Jump to: navigation, search

<templatestyles src="Module:Hatnote/styles.css"></templatestyles>

<templatestyles src="Module:Hatnote/styles.css"></templatestyles>

Spectrogram of the first second of an E9 chord played on a Fender Stratocaster guitar with noiseless pickups. Below is the E9 chord audio:

In music, timbre (/ˈtæmbər/ TAM-bər or /ˈtɪmbər/ TIM-bər) also known as tone color or tone quality from psychoacoustics, is the quality of a musical note, sound, or tone that distinguishes different types of sound production, such as voices and musical instruments, string instruments, wind instruments, and percussion instruments. The physical characteristics of sound that determine the perception of timbre include spectrum and envelope.

In simple terms, timbre is what makes a particular musical sound different from another, even when they have the same pitch and loudness. For instance, it is the difference between a guitar and a piano playing the same note at the same loudness. Experienced musicians are able to distinguish between different instruments of the same type based on their varied timbres, even if those instruments are playing notes at the same pitch and loudness.

Synonyms

Tone quality and color are synonyms for timbre, as well as the "texture attributed to a single instrument". Hermann von Helmholtz used the German Klangfarbe (tone color), and John Tyndall proposed an English translation, clangtint, but both terms were disapproved of by Alexander Ellis, who also discredits register and color for their pre-existing English meanings (Erickson 1975, 7).

The sound of a musical instrument may be described with such words as bright, dark, warm, harsh, and other terms. There are also colors of noise, such as pink and white.

In visual representations of sound, timbre corresponds to the shape of the image (Abbado 1988, 3).

ASA Acoustical Terminology definition

The Acoustical Society of America (ASA) Acoustical Terminology definition 12.09 of timbre describes it as "that attribute of auditory sensation which enables a listener to judge that two nonidentical sounds, similarly presented and having the same loudness and pitch, are disimilar", adding, "Timbre depends primarily upon the frequency spectrum, although it also depends upon the sound pressure and the temporal characteristics of the sound".[1]

Attributes

Timbre has been called, "...the psychoacoustician's multidimensional waste-basket category for everything that cannot be labeled pitch or loudness." (McAdams and Bregman 1979, 34; cf. Dixon Ward 1965, 55 and Tobias 1970, 409).

Many commentators have attempted to decompose timbre into component attributes. For example, J. F. Schouten (1968, 42) describes the, "elusive attributes of timbre", as "determined by at least five major acoustic parameters", which Robert Erickson (1975, 5) finds, "scaled to the concerns of much contemporary music":

  1. The range between tonal and noiselike character
  2. The spectral envelope
  3. The time envelope in terms of rise, duration, and decay (ADSR—attack, decay, sustain, release)
  4. The changes both of spectral envelope (formant-glide) and fundamental frequency (micro-intonation)
  5. The prefix, or onset of a sound, quite dissimilar to the ensuing lasting vibration

Erickson (1975, 6) gives a table of subjective experiences and related physical phenomena based on Schouten's five attributes:

Subjective Objective
Tonal character, usually pitched Periodic sound
Noisy, with or without some tonal character, including rustle noise Noise, including random pulses characterized by the rustle time (the mean interval between pulses)
Coloration Spectral envelope
Beginning/ending Physical rise and decay time
Coloration glide or formant glide Change of spectral envelope
Microintonation Small change (one up and down) in frequency
Vibrato Frequency modulation
Tremolo Amplitude modulation
Attack Prefix
Final sound Suffix

See also "Psychoacoustic evidence" below.

Harmonics

Lua error in Module:Details at line 30: attempt to call field '_formatLink' (a nil value).

Harmonic spectra.

The richness of a sound or note a musical instrument produces is sometimes described in terms of a sum of a number of distinct frequencies. The lowest frequency is called the fundamental frequency, and the pitch it produces is used to name the note, but the fundamental frequency is not always the dominant frequency. The dominant frequency is the frequency that is most heard, and it is always a multiple of the fundamental frequency. For example, the dominant frequency for the transverse flute is double the fundamental frequency. Other significant frequencies are called overtones of the fundamental frequency, which may include harmonics and partials. Harmonics are whole number multiples of the fundamental frequency, such as ×2, ×3, ×4, etc. Partials are other overtones. There are also sometimes subharmonics at whole number divisions of the fundamental frequency. Most instruments produce harmonic sounds, but many instruments produce partials and inharmonic tones, such as cymbals and other indefinite-pitched instruments.

When the tuning note in an orchestra or concert band is played, the sound is a combination of 440 Hz, 880 Hz, 1320 Hz, 1760 Hz and so on. Each instrument in the orchestra or concert band produces a different combination of these frequencies, as well as harmonics and overtones. The sound waves of the different frequencies overlap and combine, and the balance of these amplitudes is a major factor in the characteristic sound of each instrument.

William Sethares wrote that just intonation and the western equal tempered scale are related to the harmonic spectra/timbre of many western instruments in an analogous way that the inharmonic timbre of the Thai renat (a xylophone-like instrument) is related to the seven-tone near-equal tempered pelog scale in which they are tuned. Similarly, the inharmonic spectra of Balinese metallophones combined with harmonic instruments such as the stringed rebab or the voice, are related to the five-note near-equal tempered slendro scale commonly found in Indonesian gamelan music (Sethares 1998, 6, 211, 318).

Envelope

A signal and its envelope marked with red

The timbre of a sound is also greatly affected by the following aspects of its envelope: attack time and characteristics, decay, sustain, release (ADSR envelope) and transients. Thus these are all common controls on synthesizers. For instance, if one takes away the attack from the sound of a piano or trumpet, it becomes more difficult to identify the sound correctly, since the sound of the hammer hitting the strings or the first blast of the player's lips are highly characteristic of those instruments. The envelope is the overall amplitude structure of a sound, so called because the sound just "fits" inside its envelope: what this means should be clear from a time-domain display of almost any interesting sound, zoomed out enough that the entire waveform is visible.

Timbre in music history

The music of Debussy, composed during the last decades of the nineteenth and the first decades of the twentieth centuries, has been credited with elevating the role of timbre in music: "To a marked degree the music of Debussy elevates timbre to an unprecedented structural status; already in Prélude à l'après-midi d'un faune the color of flute and harp functions referentially" (Samson 1977,[page needed]).

Psychoacoustic evidence

Often, listeners can identify an instrument, even at different pitches and loudness, in different environments, and with different players. In the case of the clarinet, acoustic analysis shows waveforms irregular enough to suggest three instruments rather than one. David Luce (1963, 16) suggests that this implies that, "Certain strong regularities in the acoustic waveform of the above instruments must exist which are invariant with respect to the above variables." However, Robert Erickson argues that there are few regularities and they do not explain our "...powers of recognition and identification." He suggests borrowing the concept of subjective constancy from studies of vision and visual perception (Erickson 1975, 11).

Psychoacoustic experiments from the 1960s onwards tried to elucidate the nature of timbre. One method involves playing pairs of sounds to listeners, then using a multidimensional scaling algorithm to aggregate their dissimilarity judgments into a timbre space. The most consistent outcomes from such experiments are that brightness or spectral energy distribution (Grey 1977), and the bite, or rate and synchronicity (Wessel 1979) and rise time (Lakatos 2000), of the attack are important factors.

Tristimulus timbre model

The concept of tristimulus originates in the world of color, describing the way three primary colors can be mixed together to create a given color. By analogy, the musical tristimulus measures the mixture of harmonics in a given sound, grouped into three sections. The first tristimulus measures the relative weight of the first harmonic; the second tristimulus measures the relative weight of the second, third, and fourth harmonics taken together; and the third tristimulus measures the relative weight of all the remaining harmonics (Peeters 2003; Pollard and Jansson 1982,[page needed]):

T1 = \frac{a_1}{\sum_{h=1}^{H}{a_h}}
T2 = \frac{a_2 + a_3 + a_4}{\sum_{h=1}^{H}{a_h}}
T3 = \frac{\sum_{h=5}^{H}{a_h}}{\sum_{h=1}^{H}{a_h}}

See also

References

  1. Lua error in package.lua at line 80: module 'strict' not found.
  • Abbado, Adriano (1988). "Perceptual Correspondences: Animation and Sound". MS Thesis. Cambridge: Massachusetts Institute of Technology.
  • Lua error in package.lua at line 80: module 'strict' not found.
  • Dixon Ward, W. (1965). "Psychoacoustics". In Audiometry: Principles and Practices, edited by Aram Glorig, 55. Baltimore: Williams & Wilkins Co. Reprinted, Huntington, N.Y.: R. E. Krieger Pub. Co., 1977. ISBN 0-88275-604-4.
  • Dixon Ward, W. (1970) "Musical Perception". In Foundations of Modern Auditory Theory vol. 1, edited by Jerry V. Tobias,[page needed]. New York: Academic Press. ISBN 0-12-691901-1.
  • Lua error in package.lua at line 80: module 'strict' not found.
  • Grey, John M. (1977). "Multidimensional Perceptual Scaling of Musical Timbres". The Journal of the Acoustical Society of America 61(5):1270–77. doi:10.1121/1.381428
  • Lakatos, S. (2000). "A Common Perceptual Space for Harmonic and Percussive Timbres". Perception & Psychophysics 62(7):1426–39. PMID 11143454.
  • Luce, David A. (1963). "Physical Correlates of Nonpercussive Musical Instrument Tones", Ph.D. dissertation. Cambridge: Massachusetts Institute of Technology.
  • McAdams, Stephen, and Albert Bregman (1979). "Hearing Musical Streams". Computer Music Journal 3, no. 4 (December): 26–43, 60.
  • Peeters, G. (2003) “A Large Set of Audio Features or Sound Description (Similarity and Classification) in the CUIDADO Project”.[full citation needed]
  • Pollard, H. F., and E. V. Jansson (1982) A Tristimulus Method for the Specification of Musical Timbre. Acustica 51:162–71.
  • Lua error in package.lua at line 80: module 'strict' not found.
  • Schouten, J. F. (1968). "The Perception of Timbre". In Reports of the 6th International Congress on Acoustics, Tokyo, GP-6-2, 6 vols., edited by Y. Kohasi,[full citation needed]35–44, 90. Tokyo: Maruzen; Amsterdam: Elsevier.
  • Sethares, William (1998). Tuning, Timbre, Spectrum, Scale. Berlin, London, and New York: Springer. ISBN 3-540-76173-X.
  • Wessel, David (1979). "Low Dimensional Control of Musical Timbre". Computer Music Journal 3:45–52. Rewritten version, 1999, as "Timbre Space as a Musical Control Structure".