Anjuli Kannan

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Software engineer at Google

Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model

Multilingual end-to-end (E2E) models have shown great promise in expansi...
09/11/2019 ∙ by Anjuli Kannan, et al. ∙ 26 ∙ share

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Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling

Lingvo is a Tensorflow framework offering a complete solution for collab...
02/21/2019 ∙ by Jonathan Shen, et al. ∙ 13 ∙ share

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Deep context: end-to-end contextual speech recognition

In automatic speech recognition (ASR) what a user says depends on the pa...
08/07/2018 ∙ by Golan Pundak, et al. ∙ 8 ∙ share

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

Attention-based encoder-decoder architectures such as Listen, Attend, an...
12/05/2017 ∙ by Chung-Cheng Chiu, et al. ∙ 0 ∙ share

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Adversarial Evaluation of Dialogue Models

The recent application of RNN encoder-decoder models has resulted in sub...
01/27/2017 ∙ by Anjuli Kannan, et al. ∙ 0 ∙ share

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Smart Reply: Automated Response Suggestion for Email

In this paper we propose and investigate a novel end-to-end method for a...
06/15/2016 ∙ by Anjuli Kannan, et al. ∙ 0 ∙ share

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Minimum Word Error Rate Training for Attention-based Sequence-to-Sequence Models

Sequence-to-sequence models, such as attention-based models in automatic...
12/05/2017 ∙ by Rohit Prabhavalkar, et al. ∙ 0 ∙ share

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Improving the Performance of Online Neural Transducer Models

Having a sequence-to-sequence model which can operate in an online fashi...
12/05/2017 ∙ by Tara N. Sainath, et al. ∙ 0 ∙ share

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Speech recognition for medical conversations

In this paper we document our experiences with developing speech recogni...
11/20/2017 ∙ by Chung-Cheng Chiu, et al. ∙ 0 ∙ share

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An analysis of incorporating an external language model into a sequence-to-sequence model

Attention-based sequence-to-sequence models for automatic speech recogni...
12/06/2017 ∙ by Anjuli Kannan, et al. ∙ 0 ∙ share

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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 ...
12/05/2017 ∙ by Tara N. Sainath, et al. ∙ 0 ∙ share

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A Comparison of Techniques for Language Model Integration in Encoder-Decoder Speech Recognition

Attention-based recurrent neural encoder-decoder models present an elega...
07/27/2018 ∙ by Shubham Toshniwal, et al. ∙ 0 ∙ share

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Streaming End-to-end Speech Recognition For Mobile Devices

End-to-end (E2E) models, which directly predict output character sequenc...
11/15/2018 ∙ by Yanzhang He, et al. ∙ 0 ∙ share

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Model Unit Exploration for Sequence-to-Sequence Speech Recognition

We evaluate attention-based encoder-decoder models along two dimensions:...
02/05/2019 ∙ by Kazuki Irie, et al. ∙ 0 ∙ share

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Extracting Symptoms and their Status from Clinical Conversations

This paper describes novel models tailored for a new application, that o...
06/05/2019 ∙ by Nan Du, et al. ∙ 0 ∙ share

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A comparison of end-to-end models for long-form speech recognition

End-to-end automatic speech recognition (ASR) models, including both att...
11/06/2019 ∙ by Chung-Cheng Chiu, et al. ∙ 0 ∙ share

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Anjuli Kannan

Featured Co-authors

Bo Li

Yu Zhang

Oriol Vinyals

Kai Chen

Karen Livescu

Yuan Cao

Yonghui Wu

Ding Zhao

Navdeep Jaitly

Orhan Firat

Zhifeng Chen

Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model

Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling

Deep context: end-to-end contextual speech recognition

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

Adversarial Evaluation of Dialogue Models

Smart Reply: Automated Response Suggestion for Email

Minimum Word Error Rate Training for Attention-based Sequence-to-Sequence Models

Improving the Performance of Online Neural Transducer Models

Speech recognition for medical conversations

An analysis of incorporating an external language model into a sequence-to-sequence model

No Need for a Lexicon? Evaluating the Value of the Pronunciation Lexica in End-to-End Models

A Comparison of Techniques for Language Model Integration in Encoder-Decoder Speech Recognition

Streaming End-to-end Speech Recognition For Mobile Devices

Model Unit Exploration for Sequence-to-Sequence Speech Recognition

Extracting Symptoms and their Status from Clinical Conversations

A comparison of end-to-end models for long-form speech recognition