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05/19/2020
Improving Proper Noun Recognition in End-to-End ASR By Customization of the MWER Loss Criterion
Proper nouns present a challenge for end-to-end (E2E) automatic speech r...
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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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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...
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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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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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10/29/2018
Contextual Speech Recognition with Difficult Negative Training Examples
Improving the representation of contextual information is key to unlocki...
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08/16/2018
Toward domain-invariant speech recognition via large scale training
Current state-of-the-art automatic speech recognition systems are traine...
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08/07/2018
