research
∙
06/13/2023
Large-scale Language Model Rescoring on Long-form Data
In this work, we study the impact of Large-scale Language Models (LLM) o...
share
research
∙
12/22/2022
Alignment Entropy Regularization
Existing training criteria in automatic speech recognition(ASR) permit t...
research
∙
11/28/2022
E2E Segmentation in a Two-Pass Cascaded Encoder ASR Model
We explore unifying a neural segmenter with two-pass cascaded encoder AS...
research
∙
05/26/2022
Global Normalization for Streaming Speech Recognition in a Modular Framework
We introduce the Globally Normalized Autoregressive Transducer (GNAT) fo...
research
∙
04/22/2022
E2E Segmenter: Joint Segmenting and Decoding for Long-Form ASR
Improving the performance of end-to-end ASR models on long utterances ra...
research
∙
04/15/2022
Improving Rare Word Recognition with LM-aware MWER Training
Language models (LMs) significantly improve the recognition accuracy of ...
research
∙
01/17/2022
Handling Compounding in Mobile Keyboard Input
This paper proposes a framework to improve the typing experience of mobi...
research
∙
04/09/2021
Lookup-Table Recurrent Language Models for Long Tail Speech Recognition
We introduce Lookup-Table Language Models (LookupLM), a method for scali...
research
∙
12/12/2020
Less Is More: Improved RNN-T Decoding Using Limited Label Context and Path Merging
End-to-end models that condition the output label sequence on all previo...
research
∙
03/28/2020
A Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency
Thus far, end-to-end (E2E) models have not been shown to outperform stat...
research
∙
03/12/2020
Hybrid Autoregressive Transducer (hat)
This paper proposes and evaluates the hybrid autoregressive transducer (...
research
∙
10/24/2019
Recognizing long-form speech using streaming end-to-end models
All-neural end-to-end (E2E) automatic speech recognition (ASR) systems t...
research
∙
08/29/2019
Two-Pass End-to-End Speech Recognition
The requirements for many applications of state-of-the-art speech recogn...
research
∙
02/21/2019
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling
Lingvo is a Tensorflow framework offering a complete solution for collab...
research
∙
02/05/2019
Model Unit Exploration for Sequence-to-Sequence Speech Recognition
We evaluate attention-based encoder-decoder models along two dimensions:...
research
∙
11/15/2018
Streaming End-to-end Speech Recognition For Mobile Devices
End-to-end (E2E) models, which directly predict output character sequenc...
research
∙
12/05/2017
No Need for a Lexicon? Evaluating the Value of the Pronunciation Lexica in End-to-End Models
For decades, context-dependent phonemes have been the dominant sub-word ...
research
∙
04/13/2017
Mobile Keyboard Input Decoding with Finite-State Transducers
We propose a finite-state transducer (FST) representation for the models...
research
∙
03/10/2016