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Found 6 papers, 0 papers with code
Anatomy of Industrial Scale Multilingual ASR
This paper describes AssemblyAI's industrial-scale automatic speech recognition (ASR) system, designed to meet the requirements of large-scale, multilingual ASR serving various application needs.
Lego-Features: Exporting modular encoder features for streaming and deliberation ASR
Overall, they present a modular, powerful and cheap alternative to the standard encoder output, as well as the N-best hypotheses.
Practical Conformer: Optimizing size, speed and flops of Conformer for on-Device and cloud ASR
Conformer models maintain a large number of internal states, the vast majority of which are associated with self-attention layers.
A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes
In this paper, we propose a dynamic cascaded encoder Automatic Speech Recognition (ASR) model, which unifies models for different deployment scenarios.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Tied & Reduced RNN-T Decoder
Previous works on the Recurrent Neural Network-Transducer (RNN-T) models have shown that, under some conditions, it is possible to simplify its prediction network with little or no loss in recognition accuracy (arXiv:2003. 07705 [eess. AS], [2], arXiv:2012. 06749 [cs. CL]).
Connecting and Comparing Language Model Interpolation Techniques
In this work, we uncover a theoretical connection between two language model interpolation techniques, count merging and Bayesian interpolation.
