Cover Image

OnDA: On-device Channel Pruning for Efficient Personalized Keyword Spotting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Risso, Matteo, Burrello, Alessio, Pagliari, Daniele Jahier
Format:	Preprint
Published:	2026
Subjects:	Audio and Speech Processing Machine Learning Sound
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Self-Learning for Personalized Keyword Spotting on Ultra-Low-Power Audio Sensors
by: Rusci, Manuele, et al.
Published: (2024)

Sparse Binarization for Fast Keyword Spotting
by: Svirsky, Jonathan, et al.
Published: (2024)

Utilizing TTS Synthesized Data for Efficient Development of Keyword Spotting Model
by: Park, Hyun Jin, et al.
Published: (2024)

Keyword Spotting with Hyper-Matched Filters for Small Footprint Devices
by: Segal-Feldman, Yael, et al.
Published: (2025)

Adversarial training of Keyword Spotting to Minimize TTS Data Overfitting
by: Park, Hyun Jin, et al.
Published: (2024)

Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning
by: Martinez-Rau, Luciano Sebastian, et al.
Published: (2025)

On-Device Domain Learning for Keyword Spotting on Low-Power Extreme Edge Embedded Systems
by: Cioflan, Cristian, et al.
Published: (2024)

SLiCK: Exploiting Subsequences for Length-Constrained Keyword Spotting
by: Nishu, Kumari, et al.
Published: (2024)

AnalyticKWS: Towards Exemplar-Free Analytic Class Incremental Learning for Small-footprint Keyword Spotting
by: Xiao, Yang, et al.
Published: (2025)

Scalable Speech Enhancement with Dynamic Channel Pruning
by: Miccini, Riccardo, et al.
Published: (2024)

Vocal Tract Length Warped Features for Spoken Keyword Spotting
by: Sarkar, Achintya kr., et al.
Published: (2025)

Frequency & Channel Attention Network for Small Footprint Noisy Spoken Keyword Spotting
by: Lin, Yuanxi, et al.
Published: (2024)

Keyword Mamba: Spoken Keyword Spotting with State Space Models
by: Ding, Hanyu, et al.
Published: (2025)

Multiple-Instance, Cascaded Classification for Keyword Spotting in Narrow-Band Audio
by: AbdulKader, Ahmad, et al.
Published: (2017)

Effective Integration of KAN for Keyword Spotting
by: Xu, Anfeng, et al.
Published: (2024)

Multichannel Keyword Spotting for Noisy Conditions
by: Saladukha, Dzmitry, et al.
Published: (2025)

Keyword-Guided Adaptation of Automatic Speech Recognition
by: Shamsian, Aviv, et al.
Published: (2024)

Advances in Small-Footprint Keyword Spotting: A Comprehensive Review of Efficient Models and Algorithms
by: Garai, Soumen, et al.
Published: (2025)

Streaming Keyword Spotting Boosted by Cross-layer Discrimination Consistency
by: Xi, Yu, et al.
Published: (2024)

NTC-KWS: Noise-aware CTC for Robust Keyword Spotting
by: Xi, Yu, et al.
Published: (2024)

A Literature Review of Keyword Spotting Technologies for Urdu
by: Rizvi, Syed Muhammad Aqdas
Published: (2024)

AdaKWS: Towards Robust Keyword Spotting with Test-Time Adaptation
by: Xiao, Yang, et al.
Published: (2025)

Contrastive Learning With Audio Discrimination For Customizable Keyword Spotting In Continuous Speech
by: Xi, Yu, et al.
Published: (2024)

EdgeSpot: Efficient and High-Performance Few-Shot Model for Keyword Spotting
by: Buyuksolak, Oguzhan, et al.
Published: (2026)

MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding
by: Xi, Yu, et al.
Published: (2025)

TDT-KWS: Fast And Accurate Keyword Spotting Using Token-and-duration Transducer
by: Xi, Yu, et al.
Published: (2024)

Phoneme-Level Contrastive Learning for User-Defined Keyword Spotting with Flexible Enrollment
by: Kewei, Li, et al.
Published: (2024)

Masked Self-distilled Transducer-based Keyword Spotting with Semi-autoregressive Decoding
by: Xi, Yu, et al.
Published: (2025)

FLToP CTC: Frame-Level Token Pruning via Relative Threshold for Efficient and Memory-Saving Decoding on Diverse Platforms
by: Shree, Atul, et al.
Published: (2025)

Pruning-aware Loss Functions for STOI-Optimized Pruned Recurrent Autoencoders for the Compression of the Stimulation Patterns of Cochlear Implants at Zero Delay
by: Hinrichs, Reemt, et al.
Published: (2025)

On-device Streaming Discrete Speech Units
by: Choi, Kwanghee, et al.
Published: (2025)

Does Single-channel Speech Enhancement Improve Keyword Spotting Accuracy? A Case Study
by: Brueggeman, Avamarie, et al.
Published: (2023)

TinySV: Speaker Verification in TinyML with On-device Learning
by: Pavan, Massimo, et al.
Published: (2024)

Revisit Micro-batch Clipping: Adaptive Data Pruning via Gradient Manipulation
by: Wang, Lun
Published: (2024)

Effective User-defined Keyword Spotting with Dual-stage Matching, Multi-modal Enrollment, and Continual Adaptation
by: Ai, Zhiqi, et al.
Published: (2026)

LLM-Synth4KWS: Scalable Automatic Generation and Synthesis of Confusable Data for Custom Keyword Spotting
by: Zhu, Pai, et al.
Published: (2025)

Quantization-Based Score Calibration for Few-Shot Keyword Spotting with Dynamic Time Warping in Noisy Environments
by: Wilkinghoff, Kevin, et al.
Published: (2025)

LMFCA-Net: A Lightweight Model for Multi-Channel Speech Enhancement with Efficient Narrow-Band and Cross-Band Attention
by: Zhang, Yaokai, et al.
Published: (2025)

Noise-Robust Keyword Spotting through Self-supervised Pretraining
by: Mørk, Jacob, et al.
Published: (2024)

Boosting keyword spotting through on-device learnable user speech characteristics
by: Cioflan, Cristian, et al.
Published: (2024)