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Found 4 papers, 2 papers with code
SPGM: Prioritizing Local Features for enhanced speech separation performance
Dual-path is a popular architecture for speech separation models (e. g. Sepformer) which splits long sequences into overlapping chunks for its intra- and inter-blocks that separately model intra-chunk local features and inter-chunk global relationships.
Ranked #5 on
Speech Separation
on WSJ0-2mix
Codec Data Augmentation for Time-domain Heart Sound Classification
In this work, we propose a simple time domain approach, to the heart sound classification problem with a base classification error rate of 0. 8 and show that augmentation of the data through codec simulation can improve the classification error rate to 0. 2.
ACA-Net: Towards Lightweight Speaker Verification using Asymmetric Cross Attention
In this paper, we propose ACA-Net, a lightweight, global context-aware speaker embedding extractor for Speaker Verification (SV) that improves upon existing work by using Asymmetric Cross Attention (ACA) to replace temporal pooling.
Amino Acid Classification in 2D NMR Spectra via Acoustic Signal Embeddings
Nuclear Magnetic Resonance (NMR) is used in structural biology to experimentally determine the structure of proteins, which is used in many areas of biology and is an important part of drug development.
