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03/31/2023
Practical Conformer: Optimizing size, speed and flops of Conformer for on-Device and cloud ASR
Conformer models maintain a large number of internal states, the vast ma...
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03/02/2023
Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages
We introduce the Universal Speech Model (USM), a single large model that...
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02/22/2023
UML: A Universal Monolingual Output Layer for Multilingual ASR
Word-piece models (WPMs) are commonly used subword units in state-of-the...
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02/17/2023
Massively Multilingual Shallow Fusion with Large Language Models
While large language models (LLM) have made impressive progress in natur...
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01/19/2023
From English to More Languages: Parameter-Efficient Model Reprogramming for Cross-Lingual Speech Recognition
In this work, we propose a new parameter-efficient learning framework ba...
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10/31/2022
Modular Hybrid Autoregressive Transducer
Text-only adaptation of a transducer model remains challenging for end-t...
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10/13/2022
JOIST: A Joint Speech and Text Streaming Model For ASR
We present JOIST, an algorithm to train a streaming, cascaded, encoder e...
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09/13/2022
Streaming End-to-End Multilingual Speech Recognition with Joint Language Identification
Language identification is critical for many downstream tasks in automat...
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08/29/2022
A Language Agnostic Multilingual Streaming On-Device ASR System
On-device end-to-end (E2E) models have shown improvements over a convent...
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08/29/2022
Streaming Intended Query Detection using E2E Modeling for Continued Conversation
In voice-enabled applications, a predetermined hotword isusually used to...
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08/29/2022
Turn-Taking Prediction for Natural Conversational Speech
While a streaming voice assistant system has been used in many applicati...
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06/29/2022
Improving Deliberation by Text-Only and Semi-Supervised Training
Text-only and semi-supervised training based on audio-only data has gain...
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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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04/13/2022
A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes
In this paper, we propose a dynamic cascaded encoder Automatic Speech Re...
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03/22/2022
Pseudo Label Is Better Than Human Label
State-of-the-art automatic speech recognition (ASR) systems are trained ...
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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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10/08/2021
Input Length Matters: An Empirical Study Of RNN-T And MWER Training For Long-form Telephony Speech Recognition
End-to-end models have achieved state-of-the-art results on several auto...
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10/05/2021
Fast Contextual Adaptation with Neural Associative Memory for On-Device Personalized Speech Recognition
Fast contextual adaptation has shown to be effective in improving Automa...
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10/01/2021
Large-scale ASR Domain Adaptation using Self- and Semi-supervised Learning
Self- and semi-supervised learning methods have been actively investigat...
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10/01/2021
Incremental Layer-wise Self-Supervised Learning for Efficient Speech Domain Adaptation On Device
Streaming end-to-end speech recognition models have been widely applied ...
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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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01/27/2021
Transformer Based Deliberation for Two-Pass Speech Recognition
Interactive speech recognition systems must generate words quickly while...
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12/12/2020
Less Is More: Improved RNN-T Decoding Using Limited Label Context and Path Merging
End-to-end models that condition the output label sequence on all previo...
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11/21/2020
A Better and Faster End-to-End Model for Streaming ASR
End-to-end (E2E) models have shown to outperform state-of-the-art conven...
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10/27/2020
Cascaded encoders for unifying streaming and non-streaming ASR
End-to-end (E2E) automatic speech recognition (ASR) models, by now, have...
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10/22/2020
Confidence Estimation for Attention-based Sequence-to-sequence Models for Speech Recognition
For various speech-related tasks, confidence scores from a speech recogn...
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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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10/24/2019
Recognizing long-form speech using streaming end-to-end models
All-neural end-to-end (E2E) automatic speech recognition (ASR) systems t...
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08/29/2019
Two-Pass End-to-End Speech Recognition
The requirements for many applications of state-of-the-art speech recogn...
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08/16/2018