Anjuli Kannan | DeepAI

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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...

0 Rodrigo Cabrera, et al. ∙

∙ 04/20/2020

Language-agnostic Multilingual Modeling

Multilingual Automated Speech Recognition (ASR) systems allow for the jo...

4 Arindrima Datta, et al. ∙

∙ 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...

0 Tara N. Sainath, et al. ∙

∙ 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...

0 Chung-Cheng Chiu, et al. ∙

∙ 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...

26 Anjuli Kannan, et al. ∙

∙ 06/05/2019

Extracting Symptoms and their Status from Clinical Conversations

This paper describes novel models tailored for a new application, that o...

0 Nan Du, et al. ∙

∙ 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...

13 Jonathan Shen, et al. ∙

∙ 02/05/2019

Model Unit Exploration for Sequence-to-Sequence Speech Recognition

We evaluate attention-based encoder-decoder models along two dimensions:...

0 Kazuki Irie, et al. ∙

∙ 11/15/2018

Streaming End-to-end Speech Recognition For Mobile Devices

End-to-end (E2E) models, which directly predict output character sequenc...

0 Yanzhang He, et al. ∙

∙ 08/07/2018

Deep context: end-to-end contextual speech recognition

In automatic speech recognition (ASR) what a user says depends on the pa...

8 Golan Pundak, et al. ∙

∙ 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...

0 Shubham Toshniwal, et al. ∙

∙ 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...

0 Anjuli Kannan, et al. ∙

∙ 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 ...

0 Tara N. Sainath, et al. ∙

∙ 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...

0 Rohit Prabhavalkar, et al. ∙

∙ 12/05/2017

Improving the Performance of Online Neural Transducer Models

Having a sequence-to-sequence model which can operate in an online fashi...

0 Tara N. Sainath, et al. ∙

∙ 12/05/2017

State-of-the-art Speech Recognition With Sequence-to-Sequence Models

Attention-based encoder-decoder architectures such as Listen, Attend, an...

0 Chung-Cheng Chiu, et al. ∙

∙ 11/20/2017

Speech recognition for medical conversations

In this paper we document our experiences with developing speech recogni...

0 Chung-Cheng Chiu, et al. ∙

∙ 01/27/2017

Adversarial Evaluation of Dialogue Models

The recent application of RNN encoder-decoder models has resulted in sub...

0 Anjuli Kannan, et al. ∙

∙ 06/15/2016

Smart Reply: Automated Response Suggestion for Email

In this paper we propose and investigate a novel end-to-end method for a...

0 Anjuli Kannan, et al. ∙

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