Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition

26 October 2020

Sabato Marco Siniscalchi

Papers citing "Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition"

22 / 22 papers shown

Title
Efficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints Peter Röseler Oliver Schaudt Helmut Berg Christian Bauckhage Matthias Koch 24 0 0 09 May 2025
A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Georgios Papadopoulos Shaltiel Eloul Yash Satsangi Jamie Heredge Niraj Kumar Chun-Fu Chen Marco Pistoia 51 0 0 17 Apr 2025
Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Hu Hu Sabato Marco Siniscalchi Chao-Han Huck Yang Chin-Hui Lee 65 0 0 28 Jan 2025
Communication-Efficient Personalized Federated Learning for Speech-to-Text Tasks Yichao Du Zhirui Zhang Linan Yue Xu Huang Yuqing Zhang Tong Bill Xu Linli Xu Enhong Chen FedML 54 5 0 18 Jan 2024
Decentralized Quantum Federated Learning for Metaverse: Analysis, Design and Implementation Devya Gurung Shiva Raj Pokhrel Gang Li 31 5 0 20 Jun 2023
Quantum deep Q learning with distributed prioritized experience replay Samuel Yen-Chi Chen BDL 23 5 0 19 Apr 2023
Reservoir Computing via Quantum Recurrent Neural Networks Samuel Yen-Chi Chen D. Fry Amol Deshmukh V. Rastunkov Charlee Stefanski 21 16 0 04 Nov 2022
Certified Robustness of Quantum Classifiers against Adversarial Examples through Quantum Noise Jhih-Cing Huang Yu-Lin Tsai Chao-Han Huck Yang Cheng-Fang Su Chia-Mu Yu Pin-Yu Chen Sy-Yen Kuo AAML 18 20 0 02 Nov 2022
Quantum deep recurrent reinforcement learning Samuel Yen-Chi Chen 48 17 0 26 Oct 2022
An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling to Differential Privacy Preserving Speech Recognition Chao-Han Huck Yang Jun Qi Sabato Marco Siniscalchi Chin-Hui Lee 19 4 0 12 Oct 2022
An Experimental Study on Private Aggregation of Teacher Ensemble Learning for End-to-End Speech Recognition Chao-Han Huck Yang I-Fan Chen A. Stolcke Sabato Marco Siniscalchi Chin-Hui Lee 22 2 0 11 Oct 2022
Case study on quantum convolutional neural network scalability M. Lisnichenko Stanislav Protasov 16 0 0 14 Jul 2022
Theoretical Error Performance Analysis for Variational Quantum Circuit Based Functional Regression Jun Qi Chao-Han Huck Yang Pin-Yu Chen Min-hsiu Hsieh 28 50 0 08 Jun 2022
Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing Jun Qi Chao-Han Huck Yang Pin-Yu Chen Javier Tejedor 25 16 0 11 Mar 2022
When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing Chao-Han Huck Yang Jun Qi Samuel Yen-Chi Chen Yu Tsao Pin-Yu Chen 11 50 0 17 Feb 2022
Exploiting Hybrid Models of Tensor-Train Networks for Spoken Command Recognition Jun Qi Javier Tejedor 22 4 0 11 Jan 2022
Classical-to-Quantum Transfer Learning for Spoken Command Recognition Based on Quantum Neural Networks Jun Qi Javier Tejedor 34 43 0 17 Oct 2021
The Dawn of Quantum Natural Language Processing R. Sipio Jia-Hong Huang Samuel Yen-Chi Chen Stefano Mangini M. Worring 50 80 0 13 Oct 2021
QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks Jun Qi Chao-Han Huck Yang Pin-Yu Chen 26 44 0 06 Oct 2021
Federated Learning Meets Natural Language Processing: A Survey Ming Liu Stella Ho Mengqi Wang Longxiang Gao Yuan Jin Heng Zhang FedML 20 67 0 27 Jul 2021
Voice2Series: Reprogramming Acoustic Models for Time Series Classification Chao-Han Huck Yang Yun-Yun Tsai Pin-Yu Chen AI4TS 26 122 0 17 Jun 2021
Federated Quantum Machine Learning Samuel Yen-Chi Chen Shinjae Yoo FedML AI4CE 11 115 0 22 Mar 2021