Struct NeuralSpatialConfig 

pub struct NeuralSpatialConfig {
    pub model_type: NeuralModelType,
    pub hidden_dims: Vec<usize>,
    pub input_dim: usize,
    pub output_channels: usize,
    pub sample_rate: u32,
    pub buffer_size: usize,
    pub use_gpu: bool,
    pub quality: f32,
    pub realtime_constraints: RealtimeConstraints,
    pub training_config: Option<TrainingConfig>,
}

Configuration for neural spatial audio processing

Fields

model_type: NeuralModelType

Model architecture type

hidden_dims: Vec<usize>

Hidden layer dimensions

input_dim: usize

Input feature dimensions

output_channels: usize

Output audio channels (typically 2 for binaural)

sample_rate: u32

Sample rate in Hz

buffer_size: usize

Buffer size for processing

use_gpu: bool

Whether to use GPU acceleration

quality: f32

Model quality setting (0.0-1.0)

realtime_constraints: RealtimeConstraints

Real-time processing constraints

training_config: Option<TrainingConfig>

Training parameters

Trait Implementations

impl Clone for NeuralSpatialConfig

fn clone(&self) -> NeuralSpatialConfig

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for NeuralSpatialConfig

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for NeuralSpatialConfig

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for NeuralSpatialConfig

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for NeuralSpatialConfig

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.