Search Results for author: Eric Flamand

Found 3 papers, 1 papers with code

Accelerating RNN-based Speech Enhancement on a Multi-Core MCU with Mixed FP16-INT8 Post-Training Quantization

no code implementations14 Oct 2022 Manuele Rusci, Marco Fariselli, Martin Croome, Francesco Paci, Eric Flamand

Differently from a uniform 8-bit quantization that degrades the PESQ score by 0. 3 on average, the Mixed-Precision PTQ scheme leads to a low-degradation of only 0. 06, while achieving a 1. 4-1. 7x memory saving.

Quantization Speech Enhancement

A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones

3 code implementations4 May 2018 Daniele Palossi, Antonio Loquercio, Francesco Conti, Eric Flamand, Davide Scaramuzza, Luca Benini

As part of our general methodology we discuss the software mapping techniques that enable the state-of-the-art deep convolutional neural network presented in [1] to be fully executed on-board within a strict 6 fps real-time constraint with no compromise in terms of flight results, while all processing is done with only 64 mW on average.

Autonomous Navigation Visual Navigation

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