#audio-processing #voice #synthesizer #synthesis #filter #modulation #signal-processing

nightly surge-voice

surge synthesizer -- structure to represent a synthesizer voice

15 releases

0.2.12-alpha.0 Apr 7, 2023
0.2.11-alpha.0 Dec 19, 2022
0.2.5-alpha.0 Jun 21, 2022
0.2.4-alpha.0 Mar 14, 2022
0.1.42-alpha.0 Oct 27, 2021

#13 in #modulation

Download history 10/week @ 2024-09-24 8/week @ 2024-10-01

53 downloads per month
Used in 2 crates (via surge-scene)

GPL-3.0 license

2MB
23K SLoC

surge-voice

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.

Math Concepts

  • 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.

Dependencies

~12–21MB
~304K SLoC