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

14 October 2022

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

7 / 7 papers shown

Title
When Side-Channel Attacks Break the Black-Box Property of Embedded Artificial Intelligence Benoît Coqueret Mathieu Carbone Olivier Sentieys Gabriel Zaid 58 2 0 23 Nov 2023
Dynamic nsNet2: Efficient Deep Noise Suppression with Early Exiting Riccardo Miccini Alaa Zniber Clément Laroche Tobias Piechowiak Martin Schoeberl Luca Pezzarossa Ouassim Karrakchou J. Sparsø Mounir Ghogho 33 1 0 31 Aug 2023
Reduced Precision Floating-Point Optimization for Deep Neural Network On-Device Learning on MicroControllers D. Nadalini Manuele Rusci Luca Benini Francesco Conti 31 15 0 30 May 2023
Interspeech 2021 Deep Noise Suppression Challenge Chandan K. A. Reddy Harishchandra Dubey K. Koishida A. Nair Vishak Gopal Ross Cutler Sebastian Braun H. Gamper R. Aichner Sriram Srinivasan AI4CE 80 160 0 06 Jan 2021
Weighted Speech Distortion Losses for Neural-network-based Real-time Speech Enhancement Yangyang Xia Sebastian Braun Chandan K. A. Reddy Harishchandra Dubey Ross Cutler I. Tashev 31 119 0 28 Jan 2020
A scalable noisy speech dataset and online subjective test framework Chandan K. A. Reddy Ebrahim Beyrami Jamie Pool Ross Cutler Sriram Srinivasan J. Gehrke 74 144 0 17 Sep 2019
A Hybrid DSP/Deep Learning Approach to Real-Time Full-Band Speech Enhancement J. Valin 56 190 0 24 Sep 2017