In this work, we study the impact of Large-scale Language Models (LLM) o...
Existing training criteria in automatic speech recognition(ASR) permit t...
We explore unifying a neural segmenter with two-pass cascaded encoder AS...
We introduce the Globally Normalized Autoregressive Transducer (GNAT) fo...
Improving the performance of end-to-end ASR models on long utterances ra...
The single shortest path algorithm is undefined for weighted finite-stat...
This paper proposes and evaluates the hybrid autoregressive transducer (...
We propose algorithms to train production-quality n-gram language models...