Ariya Rastrow

According to our database1, Ariya Rastrow authored at least 79 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Investigating Training Strategies and Model Robustness of Low-Rank Adaptation for Language Modeling in Speech Recognition.
CoRR, 2024

Towards ASR Robust Spoken Language Understanding Through In-Context Learning With Word Confusion Networks.
CoRR, 2024

Task Oriented Dialogue as a Catalyst for Self-Supervised Automatic Speech Recognition.
CoRR, 2024

2023
Federated Representation Learning for Automatic Speech Recognition.
CoRR, 2023

Personalization for BERT-based Discriminative Speech Recognition Rescoring.
CoRR, 2023

Streaming Speech-to-Confusion Network Speech Recognition.
CoRR, 2023

Personalized Predictive ASR for Latency Reduction in Voice Assistants.
CoRR, 2023

Using External Off-Policy Speech-To-Text Mappings in Contextual End-To-End Automated Speech Recognition.
CoRR, 2023

Lookahead When It Matters: Adaptive Non-causal Transformers for Streaming Neural Transducers.
Proceedings of the International Conference on Machine Learning, 2023

Dual-Attention Neural Transducers for Efficient Wake Word Spotting in Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023

Federated Self-Learning with Weak Supervision for Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023

Procter: Pronunciation-Aware Contextual Adapter For Personalized Speech Recognition In Neural Transducers.
Proceedings of the IEEE International Conference on Acoustics, 2023

Domain Adaptation with External Off-Policy Acoustic Catalogs for Scalable Contextual End-to-End Automated Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023

Gated Contextual Adapters For Selective Contextual Biasing In Neural Transducers.
Proceedings of the IEEE International Conference on Acoustics, 2023

Low-Rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech Recognition.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

Discriminative Speech Recognition Rescoring With Pre-Trained Language Models.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

Two-Pass Endpoint Detection for Speech Recognition.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022
Accelerator-Aware Training for Transducer-Based Speech Recognition.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022

ILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production Scale.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Do You Listen with one or two Microphones? A Unified ASR Model for Single and Multi-Channel Audio.
Proceedings of the 17th International Workshop on Acoustic Signal Enhancement, 2022

Sub-8-Bit Quantization Aware Training for 8-Bit Neural Network Accelerator with On-Device Speech Recognition.
Proceedings of the Interspeech 2022, 2022

Compute Cost Amortized Transformer for Streaming ASR.
Proceedings of the Interspeech 2022, 2022

On joint training with interfaces for spoken language understanding.
Proceedings of the Interspeech 2022, 2022

RefTextLAS: Reference Text Biased Listen, Attend, and Spell Model For Accurate Reading Evaluation.
Proceedings of the Interspeech 2022, 2022

RescoreBERT: Discriminative Speech Recognition Rescoring With Bert.
Proceedings of the IEEE International Conference on Acoustics, 2022

Caching Networks: Capitalizing on Common Speech for ASR.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
End-to-End Spoken Language Understanding using RNN-Transducer ASR.
CoRR, 2021

Streaming ResLSTM with Causal Mean Aggregation for Device-Directed Utterance Detection.
Proceedings of the IEEE Spoken Language Technology Workshop, 2021

wav2vec-C: A Self-Supervised Model for Speech Representation Learning.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Listen with Intent: Improving Speech Recognition with Audio-to-Intent Front-End.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

FANS: Fusing ASR and NLU for On-Device SLU.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Amortized Neural Networks for Low-Latency Speech Recognition.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Learning a Neural Diff for Speech Models.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Sparsification via Compressed Sensing for Automatic Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2021

DO as I Mean, Not as I Say: Sequence Loss Training for Spoken Language Understanding.
Proceedings of the IEEE International Conference on Acoustics, 2021

Joint ASR and Language Identification Using RNN-T: An Efficient Approach to Dynamic Language Switching.
Proceedings of the IEEE International Conference on Acoustics, 2021

Bifocal Neural ASR: Exploiting Keyword Spotting for Inference Optimization.
Proceedings of the IEEE International Conference on Acoustics, 2021

Domain-Aware Neural Language Models for Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2021

REDAT: Accent-Invariant Representation for End-To-End ASR by Domain Adversarial Training with Relabeling.
Proceedings of the IEEE International Conference on Acoustics, 2021

Personalization Strategies for End-to-End Speech Recognition Systems.
Proceedings of the IEEE International Conference on Acoustics, 2021

Attentive Contextual Carryover for Multi-Turn End-to-End Spoken Language Understanding.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

Context-Aware Transformer Transducer for Speech Recognition.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

Attention-based Contextual Language Model Adaptation for Speech Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Improving accuracy of rare words for RNN-Transducer through unigram shallow fusion.
CoRR, 2020

Neural Composition: Learning to Generate from Multiple Models.
CoRR, 2020

Streaming End-to-End Bilingual ASR Systems with Joint Language Identification.
CoRR, 2020

Streaming Language Identification using Combination of Acoustic Representations and ASR Hypotheses.
CoRR, 2020

Rescore in a Flash: Compact, Cache Efficient Hashing Data Structures for n-Gram Language Models.
Proceedings of the Interspeech 2020, 2020

Speech to Semantics: Improve ASR and NLU Jointly via All-Neural Interfaces.
Proceedings of the Interspeech 2020, 2020

Audio-Attention Discriminative Language Model for ASR Rescoring.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Neural Machine Translation for Multilingual Grapheme-to-Phoneme Conversion.
Proceedings of the Interspeech 2019, 2019

Scalable Multi Corpora Neural Language Models for ASR.
Proceedings of the Interspeech 2019, 2019

2018
LSTM-Based Whisper Detection.
Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

Scalable Language Model Adaptation for Spoken Dialogue Systems.
Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

Contextual Language Model Adaptation for Conversational Agents.
Proceedings of the Interspeech 2018, 2018

Device-directed Utterance Detection.
Proceedings of the Interspeech 2018, 2018

Combining Acoustic Embeddings and Decoding Features for End-of-Utterance Detection in Real-Time Far-Field Speech Recognition Systems.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Domain-Specific Utterance End-Point Detection for Speech Recognition.
Proceedings of the Interspeech 2017, 2017

2016
LatticeRnn: Recurrent Neural Networks Over Lattices.
Proceedings of the Interspeech 2016, 2016

2015
Accurate endpointing with expected pause duration.
Proceedings of the INTERSPEECH 2015, 2015

2012
Acoustically discriminative language model training with pseudo-hypothesis.
Speech Commun., 2012

Revisiting the Case for Explicit Syntactic Information in Language Models.
Proceedings of the Workshop: Will We Ever Really Replace the N-gram Model? On the Future of Language Modeling for HLT, 2012

Efficient Structured Language Modeling for Speech Recognition.
Proceedings of the INTERSPEECH 2012, 2012

Fast Syntactic Analysis for Statistical Language Modeling via Substructure Sharing and Uptraining.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011
The subspace Gaussian mixture model - A structured model for speech recognition.
Comput. Speech Lang., 2011

Hill climbing on speech lattices: A new rescoring framework.
Proceedings of the IEEE International Conference on Acoustics, 2011

Adapting n-gram maximum entropy language models with conditional entropy regularization.
Proceedings of the 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 2011

Efficient discriminative training of long-span language models.
Proceedings of the 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 2011

Learning Sub-Word Units for Open Vocabulary Speech Recognition.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010
Unsupervised Model Adaptation using Information-Theoretic Criterion.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Subspace Gaussian Mixture Models for speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2010

Approaches to automatic lexicon learning with limited training examples.
Proceedings of the IEEE International Conference on Acoustics, 2010

A novel estimation of feature-space MLLR for full-covariance models.
Proceedings of the IEEE International Conference on Acoustics, 2010

Multilingual acoustic modeling for speech recognition based on subspace Gaussian Mixture Models.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Unsupervised estimation of the language model scaling factor.
Proceedings of the INTERSPEECH 2009, 2009

Towards using hybrid word and fragment units for vocabulary independent LVCSR systems.
Proceedings of the INTERSPEECH 2009, 2009

A new method for OOV detection using hybrid word/fragment system.
Proceedings of the IEEE International Conference on Acoustics, 2009

Constrained discriminative training of N-gram language models.
Proceedings of the 2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 2009

2008
Combination of strongly and weakly constrained recognizers for reliable detection of OOVS.
Proceedings of the IEEE International Conference on Acoustics, 2008


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