List of my tools and data
- Fine-tuned w2v2 models for the Interspeech 2022 paper
Downloadable w2v2 models fine-tuned for SLU on MEDIA and FSC, used for the Interspeech 2022 paper.
See here for extracting features
- Data for the system described in the paper submitted at Interspeech 2021
In this page I provide input features used for the experiments described in the paper accepted at Interspeech 2021, and for the submission at NeurIPS 2021, including also wav2vec 2.0 models fine-tuned on MEDIA and features extracted with such models. For a description of the system please see our git repository for Interspeech 2021.
- TarcMTS
Multi-task sequence-to-sequence Fairseq system
- Seq2Biseq - Bidirectional Output-wise Recurrent Neural Networks for Sequence Modelling
Bidirectional backward-forward decoding, sequence-to-sequence tagger
Downloadable w2v2 models fine-tuned for SLU on MEDIA and FSC, used for the Interspeech 2022 paper.
See here for extracting features
In this page I provide input features used for the experiments described in the paper accepted at Interspeech 2021, and for the submission at NeurIPS 2021, including also wav2vec 2.0 models fine-tuned on MEDIA and features extracted with such models. For a description of the system please see our git repository for Interspeech 2021.
Multi-task sequence-to-sequence Fairseq system
Bidirectional backward-forward decoding, sequence-to-sequence tagger