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09/17/2023
Augmenting text for spoken language understanding with Large Language Models
Spoken semantic parsing (SSP) involves generating machine-comprehensible...
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07/22/2023
Modality Confidence Aware Training for Robust End-to-End Spoken Language Understanding
End-to-end (E2E) spoken language understanding (SLU) systems that genera...
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11/15/2022
Introducing Semantics into Speech Encoders
Recent studies find existing self-supervised speech encoders contain pri...
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10/31/2022
Joint Audio/Text Training for Transformer Rescorer of Streaming Speech Recognition
Recently, there has been an increasing interest in two-pass streaming en...
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04/04/2022
Deliberation Model for On-Device Spoken Language Understanding
We propose a novel deliberation-based approach to end-to-end (E2E) spoke...
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10/11/2021
Evaluating User Perception of Speech Recognition System Quality with Semantic Distance Metric
Measuring automatic speech recognition (ASR) system quality is critical ...
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04/05/2021
Contextualized Streaming End-to-End Speech Recognition with Trie-Based Deep Biasing and Shallow Fusion
How to leverage dynamic contextual information in end-to-end speech reco...
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04/05/2021
Semantic Distance: A New Metric for ASR Performance Analysis Towards Spoken Language Understanding
Word Error Rate (WER) has been the predominant metric used to evaluate t...
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11/05/2020
Improving RNN Transducer Based ASR with Auxiliary Tasks
End-to-end automatic speech recognition (ASR) models with a single neura...
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10/26/2020
Improved Neural Language Model Fusion for Streaming Recurrent Neural Network Transducer
Recurrent Neural Network Transducer (RNN-T), like most end-to-end speech...
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07/24/2019
Cross-Attention End-to-End ASR for Two-Party Conversations
We present an end-to-end speech recognition model that learns interactio...
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06/27/2019
Gated Embeddings in End-to-End Speech Recognition for Conversational-Context Fusion
We present a novel conversational-context aware end-to-end speech recogn...
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05/21/2019
Acoustic-to-Word Models with Conversational Context Information
Conversational context information, higher-level knowledge that spans ac...
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08/07/2018
Dialog-context aware end-to-end speech recognition
Existing speech recognition systems are typically built at the sentence ...
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11/06/2017
Improved training for online end-to-end speech recognition systems
Achieving high accuracy with end-to-end speech recognizers requires care...
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11/06/2017
Towards Language-Universal End-to-End Speech Recognition
Building speech recognizers in multiple languages typically involves rep...
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01/11/2016
Environmental Noise Embeddings for Robust Speech Recognition
We propose a novel deep neural network architecture for speech recogniti...
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11/19/2015
Recurrent Models for Auditory Attention in Multi-Microphone Distance Speech Recognition
Integration of multiple microphone data is one of the key ways to achiev...
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12/09/2014