Keyword Spotting
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Benchmarks
QUESST
Google Speech Commands
hey Siri
FKD
TensorFlow
VoxForge
Most implemented
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
Hello Edge: Keyword Spotting on Microcontrollers
Keyword Transformer: A Self-Attention Model for Keyword Spotting
AST: Audio Spectrogram Transformer
Efficient keyword spotting using dilated convolutions and gating
Papers
Mapping Written Words to Spoken Words in a Different Language Using Only Visual Grounding
In many low-resource settings, even just eliciting speech for data collection is difficult. One promising approach has been to ask speakers to describe images. But how do we build models from such visually grounded speec…
Visual GroundingImage CaptioningKeyword SpottingCumsum-Composable Phase Transport for Low-Cost Streaming Keyword Spotting
State-space sequence models are attractive for streaming speech because they maintain compact recurrent state, but scan-style training kernels can have unfavorable constants for short audio tasks. We study cumsum-composa…
Keyword SpottingPmeta-TLA: Backdoor Attacks for Speech Classification Models via Meta-Learning with Timbre Leakage Attack
Recently, speech classification methods have gained widespread adoption in intelligent gadgets. Current study indicates that backdoor attacks provide a substantial security concern to these models, underscoring the press…
Keyword SpottingLearning task-specific subspaces via interventional post-training of speech foundation models
Speech foundation models, pre-trained on large corpora of unlabelled speech data, produce general-purpose representations which are useful across tasks. However, these representations encode information about salient spe…
Contrastive LearningSpeaker VerificationKeyword SpottingEmbedded Machine Learning for Microcontroller-Class Edge Devices: Data, Feature, Evaluation, and Deployment Pipelines
Embedded machine learning moves inference from cloud services to resource-constrained devices that must acquire data, preprocess signals, run a model, and act within tight limits on memory, energy, and latency. This pape…
Dimensionality ReductionKeyword SpottingConnecting Speech to Words through Images
How can we learn the mapping between written words and their spoken counterparts in the absence of explicit textual supervision? We present a visually grounded method for building a vocabulary of spoken words using only …
Image CaptioningKeyword Spotting