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Keyword Spotting
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In speech processing, keyword spotting deals with the identification of keywords in utterances.
<span style="color:grey; opacity: 0.6">( Image credit: Simon Grest )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Enhancing Few-shot Keyword Spotting Performance through Pre-Trained Self-supervised Speech Models
Low-resource keyword spotting using contrastively trained transformer acoustic word embeddings
ASAP-FE: Energy-Efficient Feature Extraction Enabling Multi-Channel Keyword Spotting on Edge Processors
Advances in Small-Footprint Keyword Spotting: A Comprehensive Review of Efficient Models and Algorithms
GLAP: General contrastive audio-text pretraining across domains and languages
SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models
Assessing the Impact of Anisotropy in Neural Representations of Speech: A Case Study on Keyword Spotting
WCTC-Biasing: Retraining-free Contextual Biasing ASR with Wildcard CTC-based Keyword Spotting and Inter-layer Biasing
Speech Unlearning
Chameleon: A MatMul-Free Temporal Convolutional Network Accelerator for End-to-End Few-Shot and Continual Learning from Sequential Data
LLM-Synth4KWS: Scalable Automatic Generation and Synthesis of Confusable Data for Custom Keyword Spotting
MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding
Adversarial Deep Metric Learning for Cross-Modal Audio-Text Alignment in Open-Vocabulary Keyword Spotting
AdaKWS: Towards Robust Keyword Spotting with Test-Time Adaptation
GraphemeAug: A Systematic Approach to Synthesized Hard Negative Keyword Spotting Examples
AnalyticKWS: Towards Exemplar-Free Analytic Class Incremental Learning for Small-footprint Keyword Spotting
Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning
Efficient Continual Learning in Keyword Spotting using Binary Neural Networks
Hardware/Software Co-Design of RISC-V Extensions for Accelerating Sparse DNNs on FPGAs
AI-Powered Agile Analog Circuit Design and Optimization
Towards efficient keyword spotting using spike-based time difference encoders
Eventprop training for efficient neuromorphic applications
Toward noise-robust whisper keyword spotting on headphones with in-earcup microphone and curriculum learning
Let SSMs be ConvNets: State-space Modeling with Optimal Tensor Contractions
Noise-Agnostic Multitask Whisper Training for Reducing False Alarm Errors in Call-for-Help Detection
AfriHate: A Multilingual Collection of Hate Speech and Abusive Language Datasets for African Languages
Vocal Tract Length Warped Features for Spoken Keyword Spotting
Phoneme-Level Contrastive Learning for User-Defined Keyword Spotting with Flexible Enrollment
Text-Aware Adapter for Few-Shot Keyword Spotting
NTC-KWS: Noise-aware CTC for Robust Keyword Spotting
Streaming Keyword Spotting Boosted by Cross-layer Discrimination Consistency
GhostRNN: Reducing State Redundancy in RNN with Cheap Operations
Zero-Shot Temporal Resolution Domain Adaptation for Spiking Neural Networks
Noise-Robust Hearing Aid Voice Control
GE2E-KWS: Generalized End-to-End Training and Evaluation for Zero-shot Keyword Spotting
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