Data privacy and protection is a crucial issue for any automatic speech recognition (ASR)
service provider when dealing with clients. In this paper, we investigate federated acoustic …

Distributed machine learning allows different parties to learn a single model over all data
sets without disclosing their own data. In this paper, we propose a weighted distributed …

Large-scale distributed training of deep acoustic models plays an important role in today's
high-performance automatic speech recognition (ASR). In this paper we investigate a variety …