Ssynth: a Real Time Additive Synthesizer With

Sound Processing and Control Laboratory. Schulich School of ... Structure. Modularity in design of digital musical instruments [Wanderley, 2001] ... written in C: stand alone program or Pd object. Pd scheduler to .... About signal sampling rates:.
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Ssynth: a Real Time Additive Synthesizer With Flexible Control V. Verfaille, J. Boissinot, M. M. Wanderley & Ph. Depalle Sound Processing and Control Laboratory Schulich School of Music – McGill University

May 25-27 2006

May 25-27, 2006 — McGill University

Ssynth: a Real Time Additive Synthesizer With Flexible Control Context of the Ssynth project

Context of the Ssynth project What? Ssynth: real time additive synthesizer synthesis from the control viewpoint (design & implementation) application: conception of new musical instruments further development of Escher [Wanderley, Schnell &Rovan, 1998] How? implements advanced and flexible control functionalities provides interpolation and extrapolation of musical playing of digital instruments generates high quality sounds (instrumental sound database), with a coherent control May 25-27, 2006 — McGill University

Ssynth: a Real Time Additive Synthesizer With Flexible Control Structure

Structure

Modularity in design of digital musical instruments [Wanderley, 2001] Ssynth composed of two parts: 1 2

Pd patches: different mapping strategies and layers additive synthesizer: 1-order or 3-order phase polynomial models [McAulay & Quatieri, 1986]

scalar, vectorized and recursive formulations written in C: stand alone program or Pd object Pd scheduler to have output audio

May 25-27, 2006 — McGill University

Ssynth: a Real Time Additive Synthesizer With Flexible Control Mapping strategies

Mapping strategy Modularity: decoupling gestural control / synthesizer [Wanderley, 2001] 78

Chapter 6 : ESCHER - An Application Example WX7

Data glove

C.P.

control parameters

mapping 1 A.P.

abstract parameters

mapping 2 S.P.

synthesis parameters

synth

May 25-27, 2006 — McGill University

Ssynth: a Real Time Additive Synthesizer With Flexible Control Mapping strategies

Mapping strategy 2 mapping layers (parameter conversion):

higher-level parameters −→ synthesis parameters (partial amplitudes and frequencies)

=⇒ nb of synthesis parameters &

user controls

gestural controller control parameters Mapping for synthesis abstract

Interpolator / navigator

parameters

Interoperability System

synthesis parameters (spec. env.)

(f0, i, d) additive synthesis

SYNTHESIS

2

gesture data −→ higher-level parameters (fundamental frequency, intensity, and dynamics)

INSTRUMENT

1

gesture

sound

May 25-27, 2006 — McGill University

Ssynth: a Real Time Additive Synthesizer With Flexible Control Mapping strategies: layer 1

Mapping strategy (layer 1) gesture data −→ higher-level parameters (fundamental frequency, intensity, and dynamics) [Wanderley, 2001]: 88 Chapter 6 : ESCHER - An Application Example WX7 breath

dynamics (Y) loudness

lip pressure fingering

breath

vibrato (X, relative) fundamental frequency (X, absolute)

dynamics (Y) loudness

lip pressure fingering

vibrato (X, relative) fundamental frequency (X, absolute)

breath dynamics (Y) loudness lip pressure fingering

vibrato (X, relative) fundamental frequency (X, absolute)

Figure 6.13: A possible pedagogical use of mapping strategies.

May 25-27, 2006 — McGill University

Ssynth: a Real Time Additive Synthesizer With Flexible Control Mapping strategies: layer2 (morphing)

Mapping strategy (layer 2) additive frames organized as a 3-dimensional mesh: pitch (7 values) dynamics (3 values; related to loudness and brightness) instrument: clarinet, oboe, saxophone & trumpet

sound synthesis: trajectories in this 3D mesh!

timbre

cs

mi

na

dy

trajectory

fundamental frequency

May 25-27, 2006 — McGill University

Ssynth: a Real Time Additive Synthesizer With Flexible Control Mapping strategies: layer2 (morphing)

Morphing strategies 2 standpoint for the morphing: additive: controlling (ai , fi ) of each partial mixed: controlling fi (additive) separately from ai via S (substractive) |X[m,k]| / dB →

50

0

|H[m,k]| / dB →

−50

0 −20 −40

|S[m,k]| / dB →

40 20 0 −20

0

1000

2000

3000

4000 Time/s →

5000

6000

7000

8000

May 25-27, 2006 — McGill University

Ssynth: a Real Time Additive Synthesizer With Flexible Control Mapping strategies: layer2 (morphing)

More morphing strategies Morphing between N tones: sustain: interpolator within 1 instrument: pitch-shifting and weighting of additive frames with 6= f0 and d morpher between several instruments: weighting of interpolated frames (from several instruments)

attack and release: time-warping additive data (improve timbre quality) [Tellman, Haken & Holloway, 1995]

D4 1

1

B3 Instrument

A3

1

1

pp

mf 1

residual noise [Serra & Smith, 1990]: filtering a white noise with morphed residual envelope (not yet provided)

1

D4 Pitch 1

1

A3 pp

mp

mf

Dynamics

May 25-27, 2006 — McGill University

Ssynth: a Real Time Additive Synthesizer With Flexible Control Mapping strategies: layer2 (spectral envelope)

Control of the spectral envelope spectral envelope = function of frequency simplifies the control of partials amplitudes (useful to morph sounds) properties: envelope fit, smoothness (tuned depending on the application) [Schwarz & Rodet, 1999] various models [Noll, 1964; Oppenheim & Schafer, 1975; Galas & Rodet, 1990]

some models more suited to provide a stable spectral envelope for a given gestural control =⇒ convert a spectral envelope models: formants, cepstrum, LPC class (auto-regressive filter, correlation function and reflection coefficients) [Oppenheim & Schafer, 1975; Kay, 1988; Schwarz & Rodet, 1999] May 25-27, 2006 — McGill University

Ssynth: a Real Time Additive Synthesizer With Flexible Control Mapping strategies: layer2 (spectral envelope)

Control of the spectral envelope

ac2table

table2ac

Correlation Function r(k)

poly

2ta b

le

2ac poly ly po 2 c a

Boxes parametric models

Cep. Coef c(k) cep2poly

Table E(f)

table2dcep dcep2table ep le2c tab table 2 cep

poly2cep

Table a(i), f(i)

spectral models for2table

Formants

table2for

F(j), G(j), Bw(j)

AR Filter coef. (a(k)), G

rc2ac ac2rc

poly for2 for 2 o p ly rc2 po poly ly 2rc

temporal models Arrows exact conversions:

left_to_right right_to_left

Reflection Coefficients k(j)

approximated conv: left_to_right right_to_left

Figure: Conversions between spectral envelope models, from [Verfaille et al., 2006]

May 25-27, 2006 — McGill University

Ssynth: a Real Time Additive Synthesizer With Flexible Control Mapping strategies: layer2 (spectral envelope)

Other control aspects

About signal sampling rates: input (control): internal control rate: 100 Hz can be changed (database has to be resampled)

output: audio: Fs = 44100 Hz stand-alone version: Ssynth could generate various output signals with 6= Fs (haptics)

May 25-27, 2006 — McGill University

Ssynth: a Real Time Additive Synthesizer With Flexible Control Sound database

Sound database The sound database contains: additive analysis & fundamental frequency estimation performed using Additive spectral envelope models of the partials clarinet & oboe as in Escher, + saxophone & trumpet sounds taken from Studio-on-Line (Ircam) but not yet: more instruments using McGill Master Samples [Opolko & Wapnick, 1987]

spectral envelope models of the residual noise Add a ‘haptic signals’ database, or generate from ‘physical models’? May 25-27, 2006 — McGill University

Ssynth: a Real Time Additive Synthesizer With Flexible Control Comparing Ssynth with other systems

Comparing Ssynth with other systems

Other systems with sound database interpolation/morphing: Escher: controlled using MIDI, performed additive synthesis through FFT−1 algorithm [Rodet & Depalle, 1992] Loris: enhanced bandwidth synthesis, real time morphing, eg. controlled by the continuum fingerboard using MIDI [Fitz et al., 2003]

Diphone: articulation based on morphing , no real time control [Depalle et al., 1993]

May 25-27, 2006 — McGill University

Ssynth: a Real Time Additive Synthesizer With Flexible Control Comparing Ssynth with Escher

Comparing Ssynth with Escher criteria model interpolation extrapolation instruments directivity polyphony mapping messages

Escher FFT −1

Ssynth temporal (3-order phase poly.) pitch, loudness, dynamic, instrument √ — clar., oboe clar., oboe, sax., trumpet √ (soon) √ — in jMax in Pd MIDI OSC

Table: Comparison between Ssynth and Escher.

May 25-27, 2006 — McGill University

Ssynth: a Real Time Additive Synthesizer With Flexible Control Comparing Ssynth with Escher

Comparing Ssynth with Escher

Summary: Ssynth benefits from better sound synthesis quality with real time synthesis (3-order phase model) control messages with OSC protocol instead of MIDI bigger sound database (to grow up) refined morphing strategies (both interpolation & extrapolation)

May 25-27, 2006 — McGill University

Ssynth: a Real Time Additive Synthesizer With Flexible Control Conclusions

Conclusions

Ssynth is a system developed for interpolating and extrapolating digital musical instruments. It: is based on: modular mapping (2 layers) additive/substractive control for morphing additive synthesis

allows for interpolating & extrapolating the database can synthesize polyphonic sound handles OSC control messages

May 25-27, 2006 — McGill University

Ssynth: a Real Time Additive Synthesizer With Flexible Control Bibliography

About morphing

Ph. Depalle, X. Rodet, Th. Galas, and G. Eckel, “Generalized diphone control,” in Proc. Int. Comp. Music Conf., Tokyo, 1993, pp. 184–7. P. Depalle, G. Garcia, and X. Rodet, “Reconstruction of a castrato voice: Farinelli’s voice,” in Proc. IEEE Workshop on Appl. of Digital Sig. Proc. to Audio and Acoustics, 1995, pp. 242–5. K. Fitz, L. Haken, S. Lefvert C. Champion, and M. O’Donnell, “Cell-Utes and Flutter-Tongued Cats: Sound Morphing Using Loris and the Reassigned Bandwidth-Enhanced Model,” Computer Music J., vol. 27, no. 3, pp. 44–65, 2003. E. Tellman, L. Haken, and B. Holloway, “Timbre Morphing of Sounds with Unequal Numbers of Features,” J. Audio Eng. Soc., vol. 43, no. 9, pp. 678–89, 1995.

May 25-27, 2006 — McGill University

Ssynth: a Real Time Additive Synthesizer With Flexible Control Bibliography

About spectral envelope T. Galas and X. Rodet, “An improved cepstral method for deconvolution of source-filter systems with discrete spectra: Application to musical sounds,” in Proc. Int. Comp. Music Conf., Glasgow, 1990, pp. 82–8. S. M. Kay, Modern Spectral Estimation: Theory Application, Prentice-Hall, 1988. A. M. Noll, “Short-time Spectrum and “Cepstrum” Techniques for Vocal Pitch Detection,” J. Acoust. Soc. Am., vol. 36, no. 2, pp. 296–302, 1964. A. V. Oppenheim and R. W. Schafer, Digital Signal Processing, Prentice Hall, Englewood Cliffs, 1975. L. Rabiner and R. Schafer, Digital Processing of Speech Signals, Englewood Cliffs, New Jersey: Prentice-Hall, 19, 1978. D. Schwarz and X. Rodet, “Spectral envelope estimation and representation for sound analysis-synthesis,” in Proc. Int. Comp. Music Conf., Beijing, 1999, pp. 351–4.

May 25-27, 2006 — McGill University

Ssynth: a Real Time Additive Synthesizer With Flexible Control Bibliography

About additive synthesis, sound database & gestural control R. J. McAulay and T. F. Quatieri, “Speech Analysis/Synthesis Based on a Sinusoidal Representation,” IEEE Trans. on Acoustics, Speech, and Sig. Proc., vol. 34, no. 4, pp. 744–54, 1986. F. Opolko and J. Wapnick, “McGill University Master Samples, Montreal, QC, Canada: McGill University,” 1987. X. Rodet and Ph. Depalle, “Spectral envelopes and inverse FFT synthesis,” in 93rd Conv. Audio Eng. Soc., San Francisco, AES preprint 3393 (H-3), 1992. X. Serra and J. O. Smith, “A sound decomposition system based on a deterministic plus residual model,” J. Acoust. Soc. Am., sup. 1, vol. 89, no. 1, pp. 425–34, 1990. M. Wanderley, N. Schnell, and J. B. Rovan, “Escher - modeling and performing composed instruments in real-time,” in Proc. IEEE Int. Conf. on Systems, Man and Cybernetics (SMC’98), San Diego, 1998, pp. 1080–4.

May 25-27, 2006 — McGill University