Feng-Ju Chang | DeepAI

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Jing Liu
126 publications
Manmohan Chandraker
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Tal Hassner
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Ariya Rastrow
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Gerard Medioni
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Athanasios Mouchtaris
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Iacopo Masi
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Yi Xie
18 publications

∙ 04/03/2023

Dual-Attention Neural Transducers for Efficient Wake Word Spotting in Speech Recognition

We present dual-attention neural biasing, an architecture designed to bo...

0 Saumya Y. Sahai, et al. ∙

∙ 03/31/2023

Dialog act guided contextual adapter for personalized speech recognition

Personalization in multi-turn dialogs has been a long standing challenge...

0 Feng-Ju Chang, et al. ∙

∙ 09/29/2022

ConvRNN-T: Convolutional Augmented Recurrent Neural Network Transducers for Streaming Speech Recognition

The recurrent neural network transducer (RNN-T) is a prominent streaming...

0 Martin Radfar, et al. ∙

∙ 07/05/2022

Compute Cost Amortized Transformer for Streaming ASR

We present a streaming, Transformer-based end-to-end automatic speech re...

0 Yi Xie, et al. ∙

∙ 05/26/2022

Contextual Adapters for Personalized Speech Recognition in Neural Transducers

Personal rare word recognition in end-to-end Automatic Speech Recognitio...

0 Kanthashree Mysore Sathyendra, et al. ∙

∙ 04/01/2022

Multi-task RNN-T with Semantic Decoder for Streamable Spoken Language Understanding

End-to-end Spoken Language Understanding (E2E SLU) has attracted increas...

0 Xuandi Fu, et al. ∙

∙ 12/13/2021

Attentive Contextual Carryover for Multi-Turn End-to-End Spoken Language Understanding

Recent years have seen significant advances in end-to-end (E2E) spoken l...

0 Kai Wei, et al. ∙

∙ 11/05/2021

Context-Aware Transformer Transducer for Speech Recognition

End-to-end (E2E) automatic speech recognition (ASR) systems often have d...

0 Feng-Ju Chang, et al. ∙

∙ 08/30/2021

Multi-Channel Transformer Transducer for Speech Recognition

Multi-channel inputs offer several advantages over single-channel, to im...

0 Feng-Ju Chang, et al. ∙

∙ 02/09/2021

Sparsification via Compressed Sensing for Automatic Speech Recognition

In order to achieve high accuracy for machine learning (ML) applications...

0 Kai Zhen, et al. ∙

∙ 02/08/2021

End-to-End Multi-Channel Transformer for Speech Recognition

Transformers are powerful neural architectures that allow integrating di...

0 Feng-Ju Chang, et al. ∙

∙ 07/24/2019

Pose-variant 3D Facial Attribute Generation

We address the challenging problem of generating facial attributes using...

1 Feng-Ju Chang, et al. ∙

∙ 02/02/2018

ExpNet: Landmark-Free, Deep, 3D Facial Expressions

We describe a deep learning based method for estimating 3D facial expres...

0 Feng-Ju Chang, et al. ∙

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