Copertina

Few-Shot Keyword Spotting from Mixed Speech

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Yuan, Junming, Shi, Ying, Li, LanTian, Wang, Dong, Hamdulla, Askar
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Sound
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

MT-HuBERT: Self-Supervised Mix-Training for Few-Shot Keyword Spotting in Mixed Speech
di: Yuan, Junming, et al.
Pubblicazione: (2025)

How phonemes contribute to deep speaker models?
di: Li, Pengqi, et al.
Pubblicazione: (2024)

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

Multi-Sample Dynamic Time Warping for Few-Shot Keyword Spotting
di: Wilkinghoff, Kevin, et al.
Pubblicazione: (2024)

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

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

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

Enhancing Few-shot Keyword Spotting Performance through Pre-Trained Self-supervised Speech Models
di: Gok, Alican, et al.
Pubblicazione: (2025)

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

Contrastive Augmentation: An Unsupervised Learning Approach for Keyword Spotting in Speech Technology
di: Dai, Weinan, et al.
Pubblicazione: (2024)

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

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

Robust Dual-Modal Speech Keyword Spotting for XR Headsets
di: Cai, Zhuojiang, et al.
Pubblicazione: (2024)

Dual Data Scaling for Robust Two-Stage User-Defined Keyword Spotting
di: Ai, Zhiqi, et al.
Pubblicazione: (2025)

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

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

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

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

No Word Left Behind: Mitigating Prefix Bias in Open-Vocabulary Keyword Spotting
di: Liu, Yi, et al.
Pubblicazione: (2026)

Synaspot: A Lightweight, Streaming Multi-modal Framework for Keyword Spotting with Audio-Text Synergy
di: Li, Kewei, et al.
Pubblicazione: (2025)

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

Efficient Continual Learning in Keyword Spotting using Binary Neural Networks
di: Vu, Quynh Nguyen-Phuong, et al.
Pubblicazione: (2025)

Assessing the Impact of Anisotropy in Neural Representations of Speech: A Case Study on Keyword Spotting
di: Wisniewski, Guillaume, et al.
Pubblicazione: (2025)

Disentangled Training with Adversarial Examples For Robust Small-footprint Keyword Spotting
di: Wang, Zhenyu, et al.
Pubblicazione: (2024)

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

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

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

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

Joint Multimodal Contrastive Learning for Robust Spoken Term Detection and Keyword Spotting
di: Gundluru, Ramesh, et al.
Pubblicazione: (2025)

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

Language-Universal Speech Attributes Modeling for Zero-Shot Multilingual Spoken Keyword Recognition
di: Yen, Hao, et al.
Pubblicazione: (2024)

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

End-to-End Efficiency in Keyword Spotting: A System-Level Approach for Embedded Microcontrollers
di: Bartoli, Pietro, et al.
Pubblicazione: (2025)

Global-Local Convolution with Spiking Neural Networks for Energy-efficient Keyword Spotting
di: Wang, Shuai, et al.
Pubblicazione: (2024)

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

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

The Universal Personalizer: Few-Shot Dysarthric Speech Recognition via Meta-Learning
di: Agarwal, Dhruuv, et al.
Pubblicazione: (2025)

Prototype: A Keyword Spotting-Based Intelligent Audio SoC for IoT
di: Liang, Huihong, et al.
Pubblicazione: (2025)

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

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