TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids

20 May 2020

Papers citing "TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids"

48 / 48 papers shown

Title
Wireless Hearables With Programmable Speech AI Accelerators Malek Itani Tuochao Chen Arun Raghavan Gavriel Kohlberg Shyamnath Gollakota AuLLM 59 0 0 24 Mar 2025
Towards Ultra-Low-Power Neuromorphic Speech Enhancement with Spiking-FullSubNet Xiang Hao Chenxiang Ma Qu Yang Jibin Wu Kay Chen Tan 28 0 0 07 Oct 2024
Speech Boosting: Low-Latency Live Speech Enhancement for TWS Earbuds Hanbin Bae Pavel Andreev Azat Saginbaev Nicholas Babaev Won-Jun Lee Hosang Sung Hoon-Young Cho 27 0 0 27 Sep 2024
Towards Sub-millisecond Latency Real-Time Speech Enhancement Models on Hearables Artem Dementyev Chandan K. A. Reddy Scott Wisdom Navin Chatlani J. Hershey R. Lyon 18 0 0 26 Sep 2024
Exploiting Consistency-Preserving Loss and Perceptual Contrast Stretching to Boost SSL-based Speech Enhancement Muhammad Salman Khan Moreno La Quatra Kuo-Hsuan Hung Szu-Wei Fu Sabato Marco Siniscalchi Yu Tsao 28 2 0 08 Aug 2024
Using Speech Foundational Models in Loss Functions for Hearing Aid Speech Enhancement Robert Sutherland George Close Thomas Hain Stefan Goetze Jon Barker 24 1 0 18 Jul 2024
Resource-Efficient Speech Quality Prediction through Quantization Aware Training and Binary Activation Maps Mattias Nilsson Riccardo Miccini Clément Laroche Tobias Piechowiak Friedemann Zenke MQ 34 0 0 05 Jul 2024
"It is okay to be uncommon": Quantizing Sound Event Detection Networks on Hardware Accelerators with Uncommon Sub-Byte Support Yushu Wu Xiao Quan M. Izadi C. Huang MQ 14 1 0 05 Apr 2024
CATSE: A Context-Aware Framework for Causal Target Sound Extraction Shrishail Baligar M. Kegler Bryce Irvin Marko Stamenovic Shawn Newsam 36 0 0 21 Mar 2024
Towards a tailored mixed-precision sub-8-bit quantization scheme for Gated Recurrent Units using Genetic Algorithms Riccardo Miccini Alessandro Cerioli Clément Laroche Tobias Piechowiak J. Sparsø Luca Pezzarossa MQ 13 0 0 19 Feb 2024
Binaural multichannel blind speaker separation with a causal low-latency and low-complexity approach Nils L. Westhausen Bernd T. Meyer BDL 37 3 0 08 Dec 2023
Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review M. Lê Pierre Wolinski Julyan Arbel 34 8 0 20 Nov 2023
Two-Step Knowledge Distillation for Tiny Speech Enhancement Rayan Daod Nathoo M. Kegler Marko Stamenovic 19 4 0 15 Sep 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
Machine Learning-based Positioning using Multivariate Time Series Classification for Factory Environments Nisal Hemadasa Manikku Badu Marcus Venzke V. Turau Yanqiu Huang 22 0 0 22 Aug 2023
Noise-aware Speech Enhancement using Diffusion Probabilistic Model Yuchen Hu Cheng Chen Ruizhe Li Qiu-shi Zhu E. Chng DiffM 16 9 0 16 Jul 2023
Layer Collaboration in the Forward-Forward Algorithm Guy Lorberbom Itai Gat Yossi Adi A. Schwing Tamir Hazan 58 11 0 21 May 2023
TinyML: Tools, Applications, Challenges, and Future Research Directions Rakhee Kallimani K. Pai Prasoon Raghuwanshi S. Iyer O. López 38 40 0 23 Mar 2023
Deep neural network techniques for monaural speech enhancement: state of the art analysis P. Ochieng 30 21 0 01 Dec 2022
CCATMos: Convolutional Context-aware Transformer Network for Non-intrusive Speech Quality Assessment Yuchen Liu Li-Chia Yang Alex Pawlicki Marko Stamenovic 22 6 0 04 Nov 2022
Self-Supervised Learning for Speech Enhancement through Synthesis Bryce Irvin Marko Stamenovic M. Kegler Li-Chia Yang 40 18 0 04 Nov 2022
Principled Pruning of Bayesian Neural Networks through Variational Free Energy Minimization Jim Beckers Bart Van Erp Ziyue Zhao K. Kondrashov Bert De Vries AAML 21 5 0 17 Oct 2022
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 MQ 12 11 0 14 Oct 2022
Inference skipping for more efficient real-time speech enhancement with parallel RNNs Xiaohuai Le Tong Lei Kai-Jyun Chen Jing Lu 38 20 0 22 Jul 2022
Distance-Based Sound Separation K. Patterson K. Wilson Scott Wisdom J. Hershey 19 21 0 01 Jul 2022
ClearBuds: Wireless Binaural Earbuds for Learning-Based Speech Enhancement Ishan Chatterjee Maruchi Kim V. Jayaram Shyamnath Gollakota Ira Kemelmacher-Shlizerman Shwetak N. Patel S. M. Seitz 21 25 0 27 Jun 2022
NASTAR: Noise Adaptive Speech Enhancement with Target-Conditional Resampling Chi-Chang Lee Cheng-Hung Hu Yu-Chen Lin Chu-Song Chen Hsin-Min Wang Yu Tsao 41 2 0 18 Jun 2022
A Functional Information Perspective on Model Interpretation Itai Gat Nitay Calderon Roi Reichart Tamir Hazan AAML FAtt 33 6 0 12 Jun 2022
Machine Learning for Microcontroller-Class Hardware: A Review Swapnil Sayan Saha S. Sandha Mani B. Srivastava 27 118 0 29 May 2022
Task splitting for DNN-based acoustic echo and noise removal Sebastian Braun Maria Luis Valero 41 17 0 13 May 2022
A Novel Temporal Attentive-Pooling based Convolutional Recurrent Architecture for Acoustic Signal Enhancement Tassadaq Hussain Wei-Chien Wang M. Gogate K. Dashtipour Yu Tsao Xugang Lu A. Ahsan Amir Hussain 21 3 0 24 Jan 2022
UDC: Unified DNAS for Compressible TinyML Models Igor Fedorov Ramon Matas Hokchhay Tann Chu Zhou Matthew Mattina P. Whatmough AI4CE 21 13 0 15 Jan 2022
Hybrid Neural Networks for On-device Directional Hearing Anran Wang Maruchi Kim Hao Zhang Shyamnath Gollakota 14 15 0 11 Dec 2021
Latent Space Explanation by Intervention Itai Gat Guy Lorberbom Idan Schwartz Tamir Hazan BDL 33 14 0 09 Dec 2021
BLOOM-Net: Blockwise Optimization for Masking Networks Toward Scalable and Efficient Speech Enhancement Sunwoo Kim Minje Kim 31 4 0 17 Nov 2021
AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On Analog Compute-in-Memory Accelerator Chuteng Zhou F. García-Redondo Julian Büchel I. Boybat Xavier Timoneda Comas S. Nandakumar Shidhartha Das Abu Sebastian Manuel Le Gallo P. Whatmough 33 16 0 10 Nov 2021
Weight, Block or Unit? Exploring Sparsity Tradeoffs for Speech Enhancement on Tiny Neural Accelerators Marko Stamenovic Nils L. Westhausen Li-Chia Yang Carl R. Jensen Alex Pawlicki 25 10 0 03 Nov 2021
Reduction of Subjective Listening Effort for TV Broadcast Signals with Recurrent Neural Networks Nils L. Westhausen R. Huber Hannah Baumgartner Ragini Sinha J. Rennies B. Meyer 17 10 0 02 Nov 2021
Interactive Feature Fusion for End-to-End Noise-Robust Speech Recognition Yuchen Hu Nana Hou Chen Chen Chng Eng Siong 18 39 0 11 Oct 2021
Tiny Machine Learning for Concept Drift Simone Disabato M. Roveri 19 27 0 30 Jul 2021
S2TA: Exploiting Structured Sparsity for Energy-Efficient Mobile CNN Acceleration Zhi-Gang Liu P. Whatmough Yuhao Zhu Matthew Mattina MQ 14 74 0 16 Jul 2021
End-to-end Keyword Spotting using Neural Architecture Search and Quantization David Peter Wolfgang Roth Franz Pernkopf MQ 27 14 0 14 Apr 2021
Time-domain Speech Enhancement with Generative Adversarial Learning Feiyang Xiao Jian Guan Qiuqiang Kong Wenwu Wang GAN 21 9 0 30 Mar 2021
Doping: A technique for efficient compression of LSTM models using sparse structured additive matrices Urmish Thakker P. Whatmough Zhi-Gang Liu Matthew Mattina Jesse G. Beu 16 6 0 14 Feb 2021
Real-time Denoising and Dereverberation with Tiny Recurrent U-Net Hyeong-Seok Choi Sungjin Park Jie Hwan Lee Hoon Heo Dongsuk Jeon Kyogu Lee 36 57 0 05 Feb 2021
EdgeBERT: Sentence-Level Energy Optimizations for Latency-Aware Multi-Task NLP Inference Thierry Tambe Coleman Hooper Lillian Pentecost Tianyu Jia En-Yu Yang ... Victor Sanh P. Whatmough Alexander M. Rush David Brooks Gu-Yeon Wei 20 117 0 28 Nov 2020
Ultra-Lightweight Speech Separation via Group Communication Yi Luo Cong Han N. Mesgarani VLM 22 30 0 17 Nov 2020
Sparse Systolic Tensor Array for Efficient CNN Hardware Acceleration Zhi-Gang Liu P. Whatmough Matthew Mattina 10 12 0 04 Sep 2020