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07/13/2023
Personalization for BERT-based Discriminative Speech Recognition Rescoring
Recognition of personalized content remains a challenge in end-to-end sp...
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06/02/2023
Streaming Speech-to-Confusion Network Speech Recognition
In interactive automatic speech recognition (ASR) systems, low-latency r...
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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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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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03/30/2023
PROCTER: PROnunciation-aware ConTextual adaptER for personalized speech recognition in neural transducers
End-to-End (E2E) automatic speech recognition (ASR) systems used in voic...
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01/06/2023
Using External Off-Policy Speech-To-Text Mappings in Contextual End-To-End Automated Speech Recognition
Despite improvements to the generalization performance of automated spee...
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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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06/30/2022
Sub-8-Bit Quantization Aware Training for 8-Bit Neural Network Accelerator with On-Device Speech Recognition
We present a novel sub-8-bit quantization-aware training (S8BQAT) scheme...
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02/02/2022
RescoreBERT: Discriminative Speech Recognition Rescoring with BERT
Second-pass rescoring is an important component in automatic speech reco...
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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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10/31/2021
FANS: Fusing ASR and NLU for on-device SLU
Spoken language understanding (SLU) systems translate voice input comman...
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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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06/02/2021
Attention-based Contextual Language Model Adaptation for Speech Recognition
Language modeling (LM) for automatic speech recognition (ASR) does not u...
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05/14/2021
Listen with Intent: Improving Speech Recognition with Audio-to-Intent Front-End
Comprehending the overall intent of an utterance helps a listener recogn...
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03/09/2021
Wav2vec-C: A Self-supervised Model for Speech Representation Learning
Wav2vec-C introduces a novel representation learning technique combining...
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02/15/2021
Personalization Strategies for End-to-End Speech Recognition Systems
The recognition of personalized content, such as contact names, remains ...
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02/12/2021
Do as I mean, not as I say: Sequence Loss Training for Spoken Language Understanding
Spoken language understanding (SLU) systems extract transcriptions, as w...
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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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01/05/2021
Domain-aware Neural Language Models for Speech Recognition
As voice assistants become more ubiquitous, they are increasingly expect...
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12/14/2020
REDAT: Accent-Invariant Representation for End-to-End ASR by Domain Adversarial Training with Relabeling
Accents mismatching is a critical problem for end-to-end ASR. This paper...
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11/30/2020
Improving accuracy of rare words for RNN-Transducer through unigram shallow fusion
End-to-end automatic speech recognition (ASR) systems, such as recurrent...
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08/14/2020
Speech To Semantics: Improve ASR and NLU Jointly via All-Neural Interfaces
We consider the problem of spoken language understanding (SLU) of extrac...
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07/17/2020
Streaming ResLSTM with Causal Mean Aggregation for Device-Directed Utterance Detection
In this paper, we propose a streaming model to distinguish voice queries...
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07/10/2020
Neural Composition: Learning to Generate from Multiple Models
Decomposing models into multiple components is critically important in m...
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07/08/2020
Streaming End-to-End Bilingual ASR Systems with Joint Language Identification
Multilingual ASR technology simplifies model training and deployment, bu...
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06/25/2020
Neural Machine Translation for Multilingual Grapheme-to-Phoneme Conversion
Grapheme-to-phoneme (G2P) models are a key component in Automatic Speech...
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06/01/2020
Streaming Language Identification using Combination of Acoustic Representations and ASR Hypotheses
This paper presents our modeling and architecture approaches for buildin...
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12/06/2019
Audio-attention discriminative language model for ASR rescoring
End-to-end approaches for automatic speech recognition (ASR) benefit fro...
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07/02/2019
Scalable Multi Corpora Neural Language Models for ASR
Neural language models (NLM) have been shown to outperform conventional ...
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12/11/2018
Scalable language model adaptation for spoken dialogue systems
Language models (LM) for interactive speech recognition systems are trai...
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09/20/2018
LSTM-based Whisper Detection
This article presents a whisper speech detector in the far-field domain....
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08/07/2018
Device-directed Utterance Detection
In this work, we propose a classifier for distinguishing device-directed...
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06/26/2018
Contextual Language Model Adaptation for Conversational Agents
Statistical language models (LM) play a key role in Automatic Speech Rec...
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06/26/2018
