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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…
cs.CL2022
Non-Linear Pairwise Language Mappings for Low-Resource Multilingual Acoustic Model Fusion
Muhammad Umar Farooq, Darshan Adiga Haniya Narayana, Thomas Hain
Multilingual speech recognition has drawn significant attention as an effective way to compensate data scarcity for low-resource languages. End-to-end (e2e) modelling is preferred…