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Integer-Only Approximated MFCC for Ultra-Low Power Audio NN Processing on Multi-Core MCUs

Integer-Only Approximated MFCC for Ultra-Low Power Audio NN Processing on Multi-Core MCUs By Marco Fariselli, Manuele Rusci, Joel Cambonie, Eric Flamand 23 Jun 2021 Read more: https://ieeexplore.ieee.org/abstract/document/9458491 Download paper in pdf: https://ieeexplore.ieee.org/abstract/document/9458491 [...]

By |April 25th, 2024|Categories: Deep Learning Technique, Hardware Focus, MCUs, Quantization|Tags: |

A TinyML Platform for On-Device Continual Learning with Quantized Latent Replays

A TinyML Platform for On-Device Continual Learning with Quantized Latent Replays By Leonardo Ravaglia, Manuele Rusci, Davide Nadalini, Alessandro Capotondi, Francesco Conti, Luca Benini 20 Oct 2021 Read more: https://arxiv.org/abs/2110.10486 Download paper in [...]

By |April 25th, 2024|Categories: Application, Deep Learning Technique, Quantization, TinyML|Tags: |

Low-Power License Plate Detection and Recognition on a RISC-V Multi-Core MCU-Based Vision System

Low-Power License Plate Detection and Recognition on a RISC-V Multi-Core MCU-Based Vision System By Lorenzo Lamberti, Manuele Rusci, Marco Fariselli, Francesco Paci, Luca Benini and others 22 May 2021 Read more: https://ieeexplore.ieee.org/abstract/document/9401730 [...]

By |April 25th, 2024|Categories: Application, Embedded vision, Hardware Focus, MCUs|Tags: |

Bioformers: Embedding Transformers for Ultra-Low Power sEMG-based Gesture Recognition

Bioformers: Embedding Transformers for Ultra-Low Power sEMG-based Gesture Recognition Alessio Burrello, Francesco Bianco Morghet, Moritz Scherer, Simone Benatti, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari 24 Mar 2022 Read more: https://arxiv.org/abs/2203.12932 [...]

By |April 25th, 2024|Categories: Application, Biometric wearables, Deep Learning Technique, Transformers|Tags: |

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

Accelerating RNN-based Speech Enhancement on a Multi-Core MCU with Mixed FP16-INT8 Post-Training Quantization Manuele Rusci, Marco Fariselli, Martin Croome, Francesco Paci, Eric Flamand 14 Oct 2022 Read more: https://arxiv.org/abs/2210.07692 Download paper in pdf: [...]

By |April 25th, 2024|Categories: Deep Learning Technique, Hardware Focus, MCUs, Quantization|Tags: |

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