James Qin

According to our database1, James Qin authored at least 20 papers between 2019 and 2024.

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Bibliography

2024
Multilingual and Fully Non-Autoregressive ASR with Large Language Model Fusion: A Comprehensive Study.
CoRR, 2024

2023
Massive End-to-end Models for Short Search Queries.
CoRR, 2023

AudioPaLM: A Large Language Model That Can Speak and Listen.
CoRR, 2023

Efficient Adapters for Giant Speech Models.
CoRR, 2023

Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages.
CoRR, 2023

2022
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition.
IEEE J. Sel. Top. Signal Process., 2022

LaMDA: Language Models for Dialog Applications.
CoRR, 2022

Self-supervised learning with random-projection quantizer for speech recognition.
Proceedings of the International Conference on Machine Learning, 2022

Vector-quantized Image Modeling with Improved VQGAN.
Proceedings of the Tenth International Conference on Learning Representations, 2022


2021
Scaling End-to-End Models for Large-Scale Multilingual ASR.
CoRR, 2021

An Efficient Streaming Non-Recurrent On-Device End-to-End Model with Improvements to Rare-Word Modeling.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

A Better and Faster end-to-end Model for Streaming ASR.
Proceedings of the IEEE International Conference on Acoustics, 2021

Scaling End-to-End Models for Large-Scale Multilingual ASR.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

w2v-BERT: Combining Contrastive Learning and Masked Language Modeling for Self-Supervised Speech Pre-Training.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2020
Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition.
CoRR, 2020

Parallel Rescoring with Transformer for Streaming On-Device Speech Recognition.
Proceedings of the Interspeech 2020, 2020

ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context.
Proceedings of the Interspeech 2020, 2020

Conformer: Convolution-augmented Transformer for Speech Recognition.
Proceedings of the Interspeech 2020, 2020

2019
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling.
CoRR, 2019


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