Saved in:
| Main Authors: | Ding, Hanyu, Xiao, Yang, Dong, Jiaheng, Dang, Ting |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.05821 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AdaKWS: Towards Robust Keyword Spotting with Test-Time Adaptation
by: Xiao, Yang, et al.
Published: (2025)
by: Xiao, Yang, et al.
Published: (2025)
NTC-KWS: Noise-aware CTC for Robust Keyword Spotting
by: Xi, Yu, et al.
Published: (2024)
by: Xi, Yu, et al.
Published: (2024)
Keyword Mamba: Spoken Keyword Spotting with State Space Models
by: Ding, Hanyu, et al.
Published: (2025)
by: Ding, Hanyu, et al.
Published: (2025)
AnalyticKWS: Towards Exemplar-Free Analytic Class Incremental Learning for Small-footprint Keyword Spotting
by: Xiao, Yang, et al.
Published: (2025)
by: Xiao, Yang, et al.
Published: (2025)
TDT-KWS: Fast And Accurate Keyword Spotting Using Token-and-duration Transducer
by: Xi, Yu, et al.
Published: (2024)
by: Xi, Yu, et al.
Published: (2024)
Test-Time Adaptation for Speech Emotion Recognition
by: Dong, Jiaheng, et al.
Published: (2026)
by: Dong, Jiaheng, et al.
Published: (2026)
MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding
by: Xi, Yu, et al.
Published: (2025)
by: Xi, Yu, et al.
Published: (2025)
MM-KWS: Multi-modal Prompts for Multilingual User-defined Keyword Spotting
by: Ai, Zhiqi, et al.
Published: (2024)
by: Ai, Zhiqi, et al.
Published: (2024)
LLM-Synth4KWS: Scalable Automatic Generation and Synthesis of Confusable Data for Custom Keyword Spotting
by: Zhu, Pai, et al.
Published: (2025)
by: Zhu, Pai, et al.
Published: (2025)
Dark Experience for Incremental Keyword Spotting
by: Peng, Tianyi, et al.
Published: (2024)
by: Peng, Tianyi, et al.
Published: (2024)
ED-sKWS: Early-Decision Spiking Neural Networks for Rapid,and Energy-Efficient Keyword Spotting
by: Song, Zeyang, et al.
Published: (2024)
by: Song, Zeyang, et al.
Published: (2024)
ProKWS: Personalized Keyword Spotting via Collaborative Learning of Phonemes and Prosody
by: Pan, Jianan, et al.
Published: (2026)
by: Pan, Jianan, et al.
Published: (2026)
PCOV-KWS: Multi-task Learning for Personalized Customizable Open Vocabulary Keyword Spotting
by: Pan, Jianan, et al.
Published: (2026)
by: Pan, Jianan, et al.
Published: (2026)
E-BATS: Efficient Backpropagation-Free Test-Time Adaptation for Speech Foundation Models
by: Dong, Jiaheng, et al.
Published: (2025)
by: Dong, Jiaheng, et al.
Published: (2025)
GE2E-KWS: Generalized End-to-End Training and Evaluation for Zero-shot Keyword Spotting
by: Zhu, Pai, et al.
Published: (2024)
by: Zhu, Pai, et al.
Published: (2024)
Effective Integration of KAN for Keyword Spotting
by: Xu, Anfeng, et al.
Published: (2024)
by: Xu, Anfeng, et al.
Published: (2024)
Text-aware Speech Separation for Multi-talker Keyword Spotting
by: Li, Haoyu, et al.
Published: (2024)
by: Li, Haoyu, et al.
Published: (2024)
Multichannel Keyword Spotting for Noisy Conditions
by: Saladukha, Dzmitry, et al.
Published: (2025)
by: Saladukha, Dzmitry, et al.
Published: (2025)
Maximum-Entropy Adversarial Audio Augmentation for Keyword Spotting
by: Ye, Zuzhao, et al.
Published: (2024)
by: Ye, Zuzhao, et al.
Published: (2024)
Effective User-defined Keyword Spotting with Dual-stage Matching, Multi-modal Enrollment, and Continual Adaptation
by: Ai, Zhiqi, et al.
Published: (2026)
by: Ai, Zhiqi, et al.
Published: (2026)
Contrastive Learning With Audio Discrimination For Customizable Keyword Spotting In Continuous Speech
by: Xi, Yu, et al.
Published: (2024)
by: Xi, Yu, et al.
Published: (2024)
End-to-End Direction-Aware Keyword Spotting with Spatial Priors in Noisy Environments
by: Wang, Rui, et al.
Published: (2026)
by: Wang, Rui, et al.
Published: (2026)
Streaming Keyword Spotting Boosted by Cross-layer Discrimination Consistency
by: Xi, Yu, et al.
Published: (2024)
by: Xi, Yu, et al.
Published: (2024)
Sparse Binarization for Fast Keyword Spotting
by: Svirsky, Jonathan, et al.
Published: (2024)
by: Svirsky, Jonathan, et al.
Published: (2024)
Quantization-Based Score Calibration for Few-Shot Keyword Spotting with Dynamic Time Warping in Noisy Environments
by: Wilkinghoff, Kevin, et al.
Published: (2025)
by: Wilkinghoff, Kevin, et al.
Published: (2025)
Multi-Sample Dynamic Time Warping for Few-Shot Keyword Spotting
by: Wilkinghoff, Kevin, et al.
Published: (2024)
by: Wilkinghoff, Kevin, et al.
Published: (2024)
Relational Proxy Loss for Audio-Text based Keyword Spotting
by: Jung, Youngmoon, et al.
Published: (2024)
by: Jung, Youngmoon, et al.
Published: (2024)
Bridging the Gap between Audio and Text using Parallel-attention for User-defined Keyword Spotting
by: Kim, Youkyum, et al.
Published: (2024)
by: Kim, Youkyum, et al.
Published: (2024)
MATE: Matryoshka Audio-Text Embeddings for Open-Vocabulary Keyword Spotting
by: Jung, Youngmoon, et al.
Published: (2026)
by: Jung, Youngmoon, et al.
Published: (2026)
Text-Aware Adapter for Few-Shot Keyword Spotting
by: Jung, Youngmoon, et al.
Published: (2024)
by: Jung, Youngmoon, et al.
Published: (2024)
Phoneme-Level Contrastive Learning for User-Defined Keyword Spotting with Flexible Enrollment
by: Kewei, Li, et al.
Published: (2024)
by: Kewei, Li, et al.
Published: (2024)
Frequency & Channel Attention Network for Small Footprint Noisy Spoken Keyword Spotting
by: Lin, Yuanxi, et al.
Published: (2024)
by: Lin, Yuanxi, et al.
Published: (2024)
Masked Self-distilled Transducer-based Keyword Spotting with Semi-autoregressive Decoding
by: Xi, Yu, et al.
Published: (2025)
by: Xi, Yu, et al.
Published: (2025)
MALEFA: Multi-grAnularity Learning and Effective False Alarm Suppression for Zero-shot Keyword Spotting
by: Li, Lo-Ya, et al.
Published: (2026)
by: Li, Lo-Ya, et al.
Published: (2026)
EdgeSpot: Efficient and High-Performance Few-Shot Model for Keyword Spotting
by: Buyuksolak, Oguzhan, et al.
Published: (2026)
by: Buyuksolak, Oguzhan, et al.
Published: (2026)
Activation Steering for Accent Adaptation in Speech Foundation Models
by: Sun, Jinuo, et al.
Published: (2026)
by: Sun, Jinuo, et al.
Published: (2026)
Advances in Small-Footprint Keyword Spotting: A Comprehensive Review of Efficient Models and Algorithms
by: Garai, Soumen, et al.
Published: (2025)
by: Garai, Soumen, et al.
Published: (2025)
PatchDSU: Uncertainty Modeling for Out of Distribution Generalization in Keyword Spotting
by: Chernyak, Bronya Roni, et al.
Published: (2025)
by: Chernyak, Bronya Roni, et al.
Published: (2025)
Disentangled Training with Adversarial Examples For Robust Small-footprint Keyword Spotting
by: Wang, Zhenyu, et al.
Published: (2024)
by: Wang, Zhenyu, et al.
Published: (2024)
Does Single-channel Speech Enhancement Improve Keyword Spotting Accuracy? A Case Study
by: Brueggeman, Avamarie, et al.
Published: (2023)
by: Brueggeman, Avamarie, et al.
Published: (2023)
Similar Items
-
AdaKWS: Towards Robust Keyword Spotting with Test-Time Adaptation
by: Xiao, Yang, et al.
Published: (2025) -
NTC-KWS: Noise-aware CTC for Robust Keyword Spotting
by: Xi, Yu, et al.
Published: (2024) -
Keyword Mamba: Spoken Keyword Spotting with State Space Models
by: Ding, Hanyu, et al.
Published: (2025) -
AnalyticKWS: Towards Exemplar-Free Analytic Class Incremental Learning for Small-footprint Keyword Spotting
by: Xiao, Yang, et al.
Published: (2025) -
TDT-KWS: Fast And Accurate Keyword Spotting Using Token-and-duration Transducer
by: Xi, Yu, et al.
Published: (2024)