research
∙
03/15/2023
Sharing Low Rank Conformer Weights for Tiny Always-On Ambient Speech Recognition Models
Continued improvements in machine learning techniques offer exciting new...
share
research
∙
01/28/2022
Neural-FST Class Language Model for End-to-End Speech Recognition
We propose Neural-FST Class Language Model (NFCLM) for end-to-end speech...
research
∙
10/26/2020
Improved Neural Language Model Fusion for Streaming Recurrent Neural Network Transducer
Recurrent Neural Network Transducer (RNN-T), like most end-to-end speech...
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
∙
06/21/2019
Phoneme-Based Contextualization for Cross-Lingual Speech Recognition in End-to-End Models
Contextual automatic speech recognition, i.e., biasing recognition towar...
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
∙
06/23/2016
NN-grams: Unifying neural network and n-gram language models for Speech Recognition
We present NN-grams, a novel, hybrid language model integrating n-grams ...
research
∙
03/25/2016