Software & Data Downloads — TF-Locoformer

This code implements TF-Locoformer, a Transformer-based model with LOcal-modeling by COnvolution for speech enhancement and audio source separation, presented in our Interspeech 2024 paper. Training and inference scripts are provided, as well as pretrained models for the WSJ0-2mix, Libri2mix, WHAMR!, and DNS-Interspeech2020 datasets

• MERL Contacts

  • 

    Jonathan
    Le Roux
     

  • 

    Gordon
    Wichern
     

  • 

    François
    Germain
     

• Related Publications

   Saijo, K., Wichern, G., Germain, F.G., Pan, Z., Le Roux, J., "TF-Locoformer: Transformer with Local Modeling by Convolution for Speech Separation and Enhancement", International Workshop on Acoustic Signal Enhancement (IWAENC), DOI: 10.1109/​IWAENC61483.2024.10694313, September 2024, pp. 205-209.

  BibTeX TR2024-126 PDF Software

  • @inproceedings{Saijo2024sep2,
  • author = {Saijo, Kohei and Wichern, Gordon and Germain, François G and Pan, Zexu and Le Roux, Jonathan}},
  • title = {TF-Locoformer: Transformer with Local Modeling by Convolution for Speech Separation and Enhancement},
  • booktitle = {International Workshop on Acoustic Signal Enhancement (IWAENC)},
  • year = 2024,
  • pages = {205--209},
  • month = sep,
  • doi = {10.1109/IWAENC61483.2024.10694313},
  • issn = {2835-3439},
  • isbn = {979-8-3503-6185-8},
  • url = {https://www.merl.com/publications/TR2024-126}
  • }



Software & Data Downloads

Access software at https://github.com/merlresearch/tf-locoformer.