A Rust crate for the Surge Synthesizer system. This crate provides various types and functions related to voice processing and modulation in the Surge Synthesizer.
calc_levels: This token represents the
calculation of modulation levels for
a voice. Modulation levels are often used in
audio synthesis to control the amount of
modulation applied to a signal. The
calc_levels function can be used to calculate
modulation levels for a voice.
legato: This token represents the legato mode
for a voice. Legato mode is a playing technique
in which a note is played smoothly and without
interruption. The legato type can be used to
represent the legato mode for a voice.
update_portamento: This token represents the
update of portamento parameters for
a voice. Portamento is a musical effect in which
the pitch of a note slides up or down to
a target pitch. The update_portamento function
can be used to update portamento parameters for
a voice.
OscillatorRuntime: This token represents the
runtime data for an oscillator. In audio
synthesis, an oscillator generates a periodic
waveform, such as a sine wave or a square
wave. The OscillatorRuntime type can be used
to represent the runtime data for an oscillator.
gen_process_cfg: This token represents the
generation of process configuration data for
a voice. Process configuration data is often
used in audio synthesis to configure the
processing of audio signals. The
gen_process_cfg function can be used to
generate process configuration data for a voice.
gen_oscillator_runtime: This token represents
the generation of runtime data for an
oscillator. Runtime data is often used in audio
synthesis to store the state of a processing
block between processing blocks. The
gen_oscillator_runtime function can be used to
generate runtime data for an oscillator.
FilterBlockData: This token represents the
data for a filter block. In audio synthesis,
a filter is used to modify the frequency content
of an audio signal. The FilterBlockData type
can be used to represent the data for a filter
block.
FilterBlockState: This token represents the
state of a filter block. The FilterBlockState
type can be used to represent the state of
a filter block.
VoiceUpdateQFCSCfg: This token represents the
configuration data for updating a voice's Quad
Filter Block State. Quad Filter Block State is
used in audio synthesis to store the state of
a quad filter block between processing
blocks. The VoiceUpdateQFCSCfg type can be
used to represent the configuration data for
updating a voice's Quad Filter Block State.
set_quad_filterblock: This token represents
the function to set the Quad Filter Block for
a voice. Quad Filter Block is used in audio
synthesis to store the state of a quad filter
block between processing blocks. The
set_quad_filterblock function can be used to
set the Quad Filter Block for a voice.
get_temposyncratio: This token represents the
calculation of tempo sync ratio for
a voice. Tempo sync ratio is often used in audio
synthesis to synchronize audio effects with the
tempo of a song. The get_temposyncratio
function can be used to calculate the tempo sync
ratio for a voice.
release: This token represents the release
phase of an audio envelope. In audio synthesis,
an envelope is used to control the amplitude or
frequency of an audio signal over time. The
release type can be used to represent the
release phase of an audio envelope.
uber_release: This token represents the uber
release phase of an audio envelope. The
uber_release type can be used to represent the
uber release phase of an audio envelope.
calc_pan: This token represents the
calculation of pan position for a voice. Pan
position is used in audio synthesis to position
an audio signal in the stereo field. The
calc_pan function can be used to calculate the
pan position for a voice.
SyncQFBRegistersCfg: This token represents the
configuration data for synchronizing the
registers of a Quad Filter Block. Quad Filter
Block is used in audio synthesis to modify the
frequency content of an audio signal. The
SyncQFBRegistersCfg type can be used to
represent the configuration data for
synchronizing the registers of a Quad Filter
Block.
sync_registers_from_qfb: This token represents
the function to synchronize the registers of
a Quad Filter Block. The
sync_registers_from_qfb function can be used
to synchronize the registers of a Quad Filter
Block.
process_ring: This token represents the
processing of a ring modulation effect. Ring
modulation is used in audio synthesis to create
complex audio effects by multiplying two audio
signals together. The process_ring function
can be used to process a ring modulation effect.
create_voice_modsources: This token represents
the creation of modulation sources for
a voice. Modulation sources are often used in
audio synthesis to modify the behavior of audio
processing blocks. The create_voice_modsources
function can be used to create modulation
sources for a voice.
create_voice_oscillators: This token
represents the creation of oscillators for
a voice. Oscillators generate periodic
waveforms, such as sine waves or square waves,
which are used as audio signals in audio
synthesis. The create_voice_oscillators
function can be used to create oscillators for
a voice.
create_voice_osclevels: This token represents
the creation of oscillator levels for
a voice. Oscillator levels are often used in
audio synthesis to control the amount of
modulation applied to an oscillator. The
create_voice_osclevels function can be used to
create oscillator levels for a voice.
calc_routes: This token represents the
calculation of modulation routes for
a voice. Modulation routes are used in audio
synthesis to route modulation sources to control
parameters. The calc_routes function can be
used to calculate modulation routes for a voice.
switch_toggled: This token represents the
toggling of a switch parameter. Switch
parameters can be used to turn on or off certain
audio processing blocks or features. The
switch_toggled function can be used to toggle
a switch parameter.
maybe_toggle_filter: This token represents the
toggling of a filter parameter. The
maybe_toggle_filter function can be used to
toggle a filter parameter.
VoiceToggleSoloCfg: This token represents the
configuration data for toggling the solo mode
for a voice. Solo mode is often used in audio
mixing to isolate a single track or
instrument. The VoiceToggleSoloCfg type can be
used to represent the configuration data for
toggling the solo mode for a voice.
maybe_toggle_solo: This token represents the
toggling of the solo mode for a voice. The
maybe_toggle_solo function can be used to
toggle the solo mode for a voice.
set_path: This token represents the setting of
a voice's signal path. A signal path is a series
of audio processing blocks connected in
series. The set_path function can be used to
set a voice's signal path.
solo: This token represents the solo mode for
a voice. Solo mode is often used in audio mixing
to isolate a single track or instrument. The
solo type can be used to represent the solo
mode for a voice.
maybe_calc_poly_aftertouch: This token
represents the calculation of polyphonic
aftertouch data for a voice. Polyphonic
aftertouch is often used in electronic
5> thanks! could you teach me more about voices? how do they work?
Sure! In audio synthesis, a voice is a unit of sound that is generated by an individual synthesizer. A synthesizer can produce multiple voices simultaneously, each with its own pitch, timbre, and other characteristics.
A voice in a synthesizer typically consists of several components, including one or more oscillators, a filter, and an envelope generator. The oscillators generate the basic waveform for the voice, while the filter modifies the frequency content of the waveform. The envelope generator shapes the amplitude and/or frequency of the sound over time.
In addition to these basic components, a voice in a synthesizer can also include modulation sources, such as LFOs or envelopes, which can be used to modulate various parameters of the voice, including the pitch, amplitude, and filter cutoff.
When a note is played on a synthesizer, the synthesizer assigns a free voice to the note, and the assigned voice generates the sound for the note. If all of the available voices are currently in use, the synthesizer will either steal a voice from an existing note or simply ignore the new note.
Voices in a synthesizer can be polyphonic or monophonic. In polyphonic mode, the synthesizer can play multiple notes simultaneously, with each note assigned to its own voice. In monophonic mode, the synthesizer can only play a single note at a time, and all notes are assigned to the same voice.
Voices in a synthesizer can also be modified in real-time using various performance techniques, such as pitch bending, vibrato, and modulation wheel. These techniques can be used to create expressive and dynamic performances on the synthesizer.
6> how much memory do they need? how many of them do we need to get a decent synthesizer?
The amount of memory required for a voice in a synthesizer can vary depending on the complexity of the voice and the quality of the sound. In general, a voice in a software synthesizer can consume anywhere from a few kilobytes to several megabytes of memory, depending on the complexity of the voice and the quality of the sound.
The number of voices required for a decent synthesizer can also vary depending on the specific needs of the user. In general, a polyphonic synthesizer will require more voices than a monophonic synthesizer. The number of voices required can also depend on the type of music being produced, as some genres may require more complex and layered sounds than others.
As an example, a simple monophonic synthesizer with one oscillator, a filter, and an envelope generator can be created using just a few kilobytes of memory, and can produce a wide range of basic sounds. A more complex polyphonic synthesizer with multiple oscillators, filters, and modulation sources can require several megabytes of memory per voice, and may require dozens of voices to create more complex and layered sounds.
Ultimately, the number of voices required for a synthesizer will depend on the specific needs of the user and the complexity of the sounds being produced.
7> are there alternative techniques we can use to achieve the same effect?
Yes, there are alternative techniques that can be used to achieve similar effects as traditional synthesis techniques, and these techniques can often be more memory-efficient and computationally efficient.
One such alternative technique is sample-based synthesis, which involves using pre-recorded audio samples as the building blocks for creating sounds, rather than generating sounds from scratch using synthesis techniques. Sample-based synthesis can be more memory-efficient than traditional synthesis, as it relies on pre-recorded samples that can be reused across multiple sounds.
Another alternative technique is physical modeling synthesis, which involves simulating the physics of real-world instruments to create sounds. Physical modeling synthesis can be computationally efficient, as it does not require complex mathematical calculations to generate sounds from scratch.
Granular synthesis is another alternative technique that involves breaking up audio samples into small "grains" and reassembling them in different ways to create new sounds. This technique can be memory-efficient, as it allows for a large number of sounds to be created using a relatively small amount of memory.
Lastly, wavetable synthesis involves using pre-recorded waveforms, called wavetables, to create sounds. This technique can be more memory-efficient than traditional synthesis, as it relies on a small set of pre-recorded waveforms that can be reused across multiple sounds.
Each of these alternative techniques has its own strengths and weaknesses, and the choice of technique will depend on the specific needs of the user and the characteristics of the sounds being produced.