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04/09/2021
Language model fusion for streaming end to end speech recognition
Streaming processing of speech audio is required for many contemporary p...
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04/20/2020
Language-agnostic Multilingual Modeling
Multilingual Automated Speech Recognition (ASR) systems allow for the jo...
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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...
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11/06/2019
A comparison of end-to-end models for long-form speech recognition
End-to-end automatic speech recognition (ASR) models, including both att...
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09/11/2019
Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model
Multilingual end-to-end (E2E) models have shown great promise in expansi...
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06/05/2019
Extracting Symptoms and their Status from Clinical Conversations
This paper describes novel models tailored for a new application, that o...
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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...
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02/05/2019
Model Unit Exploration for Sequence-to-Sequence Speech Recognition
We evaluate attention-based encoder-decoder models along two dimensions:...
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11/15/2018
Streaming End-to-end Speech Recognition For Mobile Devices
End-to-end (E2E) models, which directly predict output character sequenc...
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08/07/2018
Deep context: end-to-end contextual speech recognition
In automatic speech recognition (ASR) what a user says depends on the pa...
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07/27/2018
A Comparison of Techniques for Language Model Integration in Encoder-Decoder Speech Recognition
Attention-based recurrent neural encoder-decoder models present an elega...
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12/06/2017
An analysis of incorporating an external language model into a sequence-to-sequence model
Attention-based sequence-to-sequence models for automatic speech recogni...
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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 ...
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12/05/2017
Minimum Word Error Rate Training for Attention-based Sequence-to-Sequence Models
Sequence-to-sequence models, such as attention-based models in automatic...
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12/05/2017
Improving the Performance of Online Neural Transducer Models
Having a sequence-to-sequence model which can operate in an online fashi...
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12/05/2017
State-of-the-art Speech Recognition With Sequence-to-Sequence Models
Attention-based encoder-decoder architectures such as Listen, Attend, an...
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11/20/2017
Speech recognition for medical conversations
In this paper we document our experiences with developing speech recogni...
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01/27/2017
Adversarial Evaluation of Dialogue Models
The recent application of RNN encoder-decoder models has resulted in sub...
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06/15/2016
