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05/12/2023
Accelerator-Aware Training for Transducer-Based Speech Recognition
Machine learning model weights and activations are represented in full-p...
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05/09/2023
Robust Acoustic and Semantic Contextual Biasing in Neural Transducers for Speech Recognition
Attention-based contextual biasing approaches have shown significant imp...
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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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10/17/2022
Sub-8-bit quantization for on-device speech recognition: a regularization-free approach
For on-device automatic speech recognition (ASR), quantization aware tra...
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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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06/15/2022
Latency Control for Keyword Spotting
Conversational agents commonly utilize keyword spotting (KWS) to initiat...
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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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05/11/2022
A neural prosody encoder for end-ro-end dialogue act classification
Dialogue act classification (DAC) is a critical task for spoken language...
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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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08/03/2021
Bifocal Neural ASR: Exploiting Keyword Spotting for Inference Optimization
We present Bifocal RNN-T, a new variant of the Recurrent Neural Network ...
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08/03/2021
Learning a Neural Diff for Speech Models
As more speech processing applications execute locally on edge devices, ...
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08/03/2021
Amortized Neural Networks for Low-Latency Speech Recognition
We introduce Amortized Neural Networks (AmNets), a compute cost- and lat...
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06/14/2021
CoDERT: Distilling Encoder Representations with Co-learning for Transducer-based Speech Recognition
We propose a simple yet effective method to compress an RNN-Transducer (...
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08/06/2020
Semantic Complexity in End-to-End Spoken Language Understanding
End-to-end spoken language understanding (SLU) models are a class of mod...
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07/19/2018
