27 citations · 27 across the 4 of their papers we have counts for
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cs.CL2023
Learning Cross-lingual Mappings for Data Augmentation to Improve Low-Resource Speech Recognition
Muhammad Umar Farooq, Thomas Hain
Exploiting cross-lingual resources is an effective way to compensate for data scarcity of low resource languages. Recently, a novel multilingual model fusion technique has been pro…
eess.AS2023
Towards domain generalisation in ASR with elitist sampling and ensemble knowledge distillation
Rehan Ahmad, Md Asif Jalal, Muhammad Umar Farooq +2
Knowledge distillation has widely been used for model compression and domain adaptation for speech applications. In the presence of multiple teachers, knowledge can easily be trans…