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Frederick Weber

2 accepted papers

2025

AMuSE: Attentive Multilingual Speech Encoding for Zero-Prior ASR

ICASSP 2025accepted

Multilingual ASR offers training, deployment and overall performance benefits, but models trained via simple data pooling are known to suffer from cross-lingual interference. Oracle language information (exact-prior) and language-specific parameters are usually leveraged to overcome this, but such a…

Cited by 0SourceScholar
2021

Cross-Silo Federated Training in the Cloud with Diversity Scaling and Semi-Supervised Learning

ICASSP 2021accepted

Federated learning is a machine learning approach that allows a loose federation of trainers to collaboratively improve a shared model, while making minimum assumptions on central availability of data. In cross-siloed federated learning, data is partitioned into silos, each with an associated traine…

Cited by 0SourceScholar