Low-latency processing
4 papers with code • 1 benchmarks • 0 datasets
Most implemented papers
A Multi-Phase Gammatone Filterbank for Speech Separation via TasNet
In this work, we investigate if the learned encoder of the end-to-end convolutional time domain audio separation network (Conv-TasNet) is the key to its recent success, or if the encoder can just as well be replaced by a deterministic hand-crafted filterbank.
High-Fidelity and Low-Latency Universal Neural Vocoder based on Multiband WaveRNN with Data-Driven Linear Prediction for Discrete Waveform Modeling
patrickltobing/cyclevae-vc-neuralvoco
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This paper presents a novel high-fidelity and low-latency universal neural vocoder framework based on multiband WaveRNN with data-driven linear prediction for discrete waveform modeling (MWDLP).
Machine Learning 5G Attack Detection in Programmable Logic
Machine learning-assisted network security may significantly contribute to securing 5G components.
Hype or Heuristic? Quantum Reinforcement Learning for Join Order Optimisation
lfd/rl_for_jo
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It is able to handle general bushy join trees instead of resorting to simpler left-deep variants as compared to approaches based on quantum(-inspired) optimisation, yet requires multiple orders of magnitudes fewer qubits, which is a scarce resource even for post-NISQ systems.
