1 code implementation • 19 May 2023 • Chun-Wei Ho, Chao-Han Huck Yang, Sabato Marco Siniscalchi
Evaluated on the open-access Multilingual Spoken Words (MLSW) dataset, our solution reduces the number of trainable parameters by 97. 5% using the RAs with only a 4% performance drop with respect to fine-tuning the cross-lingual speech classifier while preserving DP guarantees.
