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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...
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03/31/2023
Dialog act guided contextual adapter for personalized speech recognition
Personalization in multi-turn dialogs has been a long standing challenge...
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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...
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07/05/2022
Compute Cost Amortized Transformer for Streaming ASR
We present a streaming, Transformer-based end-to-end automatic speech re...
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05/26/2022
Contextual Adapters for Personalized Speech Recognition in Neural Transducers
Personal rare word recognition in end-to-end Automatic Speech Recognitio...
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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...
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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...
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11/05/2021
Context-Aware Transformer Transducer for Speech Recognition
End-to-end (E2E) automatic speech recognition (ASR) systems often have d...
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08/30/2021
Multi-Channel Transformer Transducer for Speech Recognition
Multi-channel inputs offer several advantages over single-channel, to im...
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02/09/2021
Sparsification via Compressed Sensing for Automatic Speech Recognition
In order to achieve high accuracy for machine learning (ML) applications...
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02/08/2021
End-to-End Multi-Channel Transformer for Speech Recognition
Transformers are powerful neural architectures that allow integrating di...
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07/24/2019
Pose-variant 3D Facial Attribute Generation
We address the challenging problem of generating facial attributes using...
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02/02/2018
