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08/11/2023
Improving Joint Speech-Text Representations Without Alignment
The last year has seen astonishing progress in text-prompted image gener...
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04/19/2023
A Comparison of Semi-Supervised Learning Techniques for Streaming ASR at Scale
Unpaired text and audio injection have emerged as dominant methods for i...
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01/11/2023
Dual Learning for Large Vocabulary On-Device ASR
Dual learning is a paradigm for semi-supervised machine learning that se...
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11/28/2022
E2E Segmentation in a Two-Pass Cascaded Encoder ASR Model
We explore unifying a neural segmenter with two-pass cascaded encoder AS...
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08/28/2022
Towards Disentangled Speech Representations
The careful construction of audio representations has become a dominant ...
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04/22/2022
E2E Segmenter: Joint Segmenting and Decoding for Long-Form ASR
Improving the performance of end-to-end ASR models on long utterances ra...
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04/15/2022
Improving Rare Word Recognition with LM-aware MWER Training
Language models (LMs) significantly improve the recognition accuracy of ...
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03/09/2022
Sentence-Select: Large-Scale Language Model Data Selection for Rare-Word Speech Recognition
Language model fusion helps smart assistants recognize words which are r...
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04/09/2021
Lookup-Table Recurrent Language Models for Long Tail Speech Recognition
We introduce Lookup-Table Language Models (LookupLM), a method for scali...
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08/24/2020
Improving Tail Performance of a Deliberation E2E ASR Model Using a Large Text Corpus
End-to-end (E2E) automatic speech recognition (ASR) systems lack the dis...
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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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07/01/2019
