Anira, a new library for real-time audio neural network inference, is benchmarked across three engines, finding ONNX Runtime fastest for stateless models and LibTorch fastest for stateful models.
RTNeural: Fast Neural Inferencing for Real-Time Systems
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
abstract
RTNeural is a neural inferencing library written in C++. RTNeural is designed to be used in systems with hard real-time constraints, with additional emphasis on speed, flexibility, size, and convenience. The motivation and design of the library are described, as well as real-world use-cases, and performance comparisons with other neural inferencing libraries.
citation-role summary
background 1
citation-polarity summary
fields
cs.SD 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
ANIRA: An Architecture for Neural Network Inference in Real-Time Audio Applications
Anira, a new library for real-time audio neural network inference, is benchmarked across three engines, finding ONNX Runtime fastest for stateless models and LibTorch fastest for stateful models.