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"

50 / 55 papers shown

Title
Differentiable Quantum Architecture Search in Quantum-Enhanced Neural Network Parameter Generation Samuel Yen-Chi Chen Chen-Yu Liu Kuan-Cheng Chen Wei-Jia Huang Yen-Jui Chang Wei-Hao Huang 29 0 0 13 May 2025
Efficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints Peter Röseler Oliver Schaudt Helmut Berg Christian Bauckhage Matthias Koch 34 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 80 0 0 28 Jan 2025
Quantum Kernel-Based Long Short-term Memory Yu-Chao Hsu Tai-Yu Li Kuan-Cheng Chen VLM 72 7 0 20 Nov 2024
Leveraging Pre-Trained Neural Networks to Enhance Machine Learning with Variational Quantum Circuits Jun Qi Chao-Han Huck Yang Samuel Yen-Chi Chen Pin-Yu Chen Hector Zenil Jesper Tegner 31 0 0 13 Nov 2024
Integrated Encoding and Quantization to Enhance Quanvolutional Neural Networks Daniele Lizzio Bosco Beatrice Portelli Giuseppe Serra 31 0 0 08 Oct 2024
Differentiable Quantum Architecture Search in Asynchronous Quantum Reinforcement Learning Samuel Yen-Chi Chen 49 6 0 25 Jul 2024
Exploring Quantum-Enhanced Machine Learning for Computer Vision: Applications and Insights on Noisy Intermediate-Scale Quantum Devices Purnachandra Mandadapu 48 0 0 01 Apr 2024
Automatic Speech Recognition using Advanced Deep Learning Approaches: A survey Hamza Kheddar Mustapha Hemis Yassine Himeur OffRL 43 59 0 02 Mar 2024
Learning to Program Variational Quantum Circuits with Fast Weights Samuel Yen-Chi Chen 30 12 0 27 Feb 2024
Communication-Efficient Personalized Federated Learning for Speech-to-Text Tasks Yichao Du Zhirui Zhang Linan Yue Xu Huang Yuqing Zhang Tong Xu Linli Xu Enhong Chen FedML 62 5 0 18 Jan 2024
Quantum Federated Learning With Quantum Networks Tyler Wang Huan-Hsin Tseng Shinjae Yoo 26 6 0 23 Oct 2023
Federated Quantum Machine Learning with Differential Privacy Rod Rofougaran Shinjae Yoo Huan-Hsin Tseng Samuel Yen-Chi Chen FedML 28 20 0 10 Oct 2023
Efficient quantum recurrent reinforcement learning via quantum reservoir computing Samuel Yen-Chi Chen 41 12 0 13 Sep 2023
Gammatonegram Representation for End-to-End Dysarthric Speech Processing Tasks: Speech Recognition, Speaker Identification, and Intelligibility Assessment Aref Farhadipour H. Veisi 163 4 0 06 Jul 2023
Decentralized Quantum Federated Learning for Metaverse: Analysis, Design and Implementation Devya Gurung Shiva Raj Pokhrel Gang Li 35 5 0 20 Jun 2023
Towards Quantum Federated Learning Chao Ren Han Yu Rudai Yan Minrui Xu Yuan Shen Huihui Zhu Dusit Niyato Zhaoyang Dong L. Kwek FedML AI4CE 44 19 0 16 Jun 2023
A Survey on Time-Series Pre-Trained Models Qianli Ma Ziqiang Liu Zhenjing Zheng Ziyang Huang Siying Zhu Zhongzhong Yu James T. Kwok AI4TS 31 50 0 18 May 2023
Classical-to-Quantum Transfer Learning Facilitates Machine Learning with Variational Quantum Circuit Jun Qi Chao-Han Huck Yang Pin-Yu Chen Min-hsiu Hsieh Hector Zenil Jesper Tegner 31 0 0 18 May 2023
Data Encoding For Healthcare Data Democratisation and Information Leakage Prevention Anshul Thakur T. Zhu V. Abrol Jacob Armstrong Yujiang Wang David A. Clifton MedIm 17 1 0 05 May 2023
Secure Communication Model For Quantum Federated Learning: A Post Quantum Cryptography (PQC) Framework Devya Gurung Shiva Raj Pokhrel Gang Li FedML 23 3 0 26 Apr 2023
Quantum deep Q learning with distributed prioritized experience replay Samuel Yen-Chi Chen BDL 31 6 0 19 Apr 2023
Optimizing Quantum Federated Learning Based on Federated Quantum Natural Gradient Descent Jun Qi Xiaolin Zhang Javier Tejedor FedML 23 8 0 27 Feb 2023
Asynchronous training of quantum reinforcement learning Samuel Yen-Chi Chen OffRL 29 18 0 12 Jan 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
A Quantum Kernel Learning Approach to Acoustic Modeling for Spoken Command Recognition Chao-Han Huck Yang Bo-wen Li Yu Zhang Nanxin Chen Tara N. Sainath Sabato Marco Siniscalchi Chin-Hui Lee 27 6 0 02 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 26 20 0 02 Nov 2022
Quantum deep recurrent reinforcement learning Samuel Yen-Chi Chen 50 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 26 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 32 2 0 11 Oct 2022
PQLM -- Multilingual Decentralized Portable Quantum Language Model for Privacy Protection Shuyue Stella Li Xiangyu Zhang Shu Zhou Hongchao Shu Ruixing Liang Hexin Liu Leibny Paola García 40 22 0 06 Oct 2022
Federated Quantum Natural Gradient Descent for Quantum Federated Learning Jun Qi FedML 19 16 0 15 Aug 2022
Case study on quantum convolutional neural network scalability M. Lisnichenko Stanislav Protasov 21 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 30 50 0 08 Jun 2022
QSpeech: Low-Qubit Quantum Speech Application Toolkit Zhenhou Hong Jianzong Wang Xiaoyang Qu Chendong Zhao Wei Tao Jing Xiao 23 4 0 26 May 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
Quantum Distributed Deep Learning Architectures: Models, Discussions, and Applications Yunseok Kwak Won Joon Yun Jae Pyoung Kim Hyunhee Cho Minseok Choi Soyi Jung Joongheon Kim 50 41 0 19 Feb 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 19 51 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
Quantum Architecture Search via Continual Reinforcement Learning Esther Ye Samuel Yen-Chi Chen 15 27 0 10 Dec 2021
QDCNN: Quantum Dilated Convolutional Neural Network Yixiong Chen 27 4 0 29 Oct 2021
Classical-to-Quantum Transfer Learning for Spoken Command Recognition Based on Quantum Neural Networks Jun Qi Javier Tejedor 39 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 29 44 0 06 Oct 2021
Variational Quantum Reinforcement Learning via Evolutionary Optimization Samuel Yen-Chi Chen Chih-Min Huang Chia-Wei Hsing H. Goan Y. Kao 38 81 0 01 Sep 2021
Federated Learning Meets Natural Language Processing: A Survey Ming Liu Stella Ho Mengqi Wang Longxiang Gao Yuan Jin Heng Zhang FedML 25 67 0 27 Jul 2021
Voice2Series: Reprogramming Acoustic Models for Time Series Classification Chao-Han Huck Yang Yun-Yun Tsai Pin-Yu Chen AI4TS 29 122 0 17 Jun 2021
Quantum Federated Learning with Quantum Data Mahdi Chehimi Walid Saad FedML 24 70 0 30 May 2021
Quantum Architecture Search via Deep Reinforcement Learning En-Jui Kuo Yao-Lung L. Fang Samuel Yen-Chi Chen AI4CE 13 83 0 15 Apr 2021