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Found 6 papers, 3 papers with code
WeKws: A production first small-footprint end-to-end Keyword Spotting Toolkit
Keyword spotting (KWS) enables speech-based user interaction and gradually becomes an indispensable component of smart devices.
Conformer-based End-to-end Speech Recognition With Rotary Position Embedding
To make use of the time order of the input sequence, many works inject some information about the relative or absolute position of the element into the input sequence.
AUC Optimization for Robust Small-footprint Keyword Spotting with Limited Training Data
Deep neural networks provide effective solutions to small-footprint keyword spotting (KWS).
Transformer-based end-to-end speech recognition with residual Gaussian-based self-attention
Although the performance of the proposed resGSA-Transformer is only slightly better than that of the RPSA-Transformer, it does not have to tune the window length manually.
Libri-adhoc40: A dataset collected from synchronized ad-hoc microphone arrays
We trained several multi-device speech recognition systems on both the Libri-adhoc40 dataset and a simulated dataset.
Transformer-based End-to-End Speech Recognition with Local Dense Synthesizer Attention
To reduce the computational complexity and improve the performance, we further propose local DSA (LDSA) to restrict the attention scope of DSA to a local range around the current central frame for speech recognition.
