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07/02/2023
Don't Stop Self-Supervision: Accent Adaptation of Speech Representations via Residual Adapters
Speech representations learned in a self-supervised fashion from massive...
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06/13/2023
DCTX-Conformer: Dynamic context carry-over for low latency unified streaming and non-streaming Conformer
Conformer-based end-to-end models have become ubiquitous these days and ...
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05/05/2023
Mask The Bias: Improving Domain-Adaptive Generalization of CTC-based ASR with Internal Language Model Estimation
End-to-end ASR models trained on large amount of data tend to be implici...
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12/18/2022
Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale
Language models have been shown to perform better with an increase in sc...
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11/23/2022
Device Directedness with Contextual Cues for Spoken Dialog Systems
In this work, we define barge-in verification as a supervised learning t...
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10/18/2022
Personalization of CTC Speech Recognition Models
End-to-end speech recognition models trained using joint Connectionist T...
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05/21/2022
Self-Supervised Speech Representation Learning: A Review
Although supervised deep learning has revolutionized speech and audio pr...
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12/16/2021
Domain Prompts: Towards memory and compute efficient domain adaptation of ASR systems
Automatic Speech Recognition (ASR) systems have found their use in numer...
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12/10/2021
Directed Speech Separation for Automatic Speech Recognition of Long Form Conversational Speech
Many of the recent advances in speech separation are primarily aimed at ...
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10/13/2021
Efficient domain adaptation of language models in ASR systems using Prompt-tuning
Automatic Speech Recognition (ASR) systems have found their use in numer...
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09/10/2021
Remember the context! ASR slot error correction through memorization
Accurate recognition of slot values such as domain specific words or nam...
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06/15/2021
ASR Adaptation for E-commerce Chatbots using Cross-Utterance Context and Multi-Task Language Modeling
Automatic Speech Recognition (ASR) robustness toward slot entities are c...
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04/21/2021
Adapting Long Context NLM for ASR Rescoring in Conversational Agents
Neural Language Models (NLM), when trained and evaluated with context sp...
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03/18/2021
Contextual Biasing of Language Models for Speech Recognition in Goal-Oriented Conversational Agents
Goal-oriented conversational interfaces are designed to accomplish speci...
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02/12/2021
Neural Inverse Text Normalization
While there have been several contributions exploring state of the art t...
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11/30/2020
Transformer-Transducers for Code-Switched Speech Recognition
We live in a world where 60 languages fluently. Members of these communi...
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10/24/2020
Align-Refine: Non-Autoregressive Speech Recognition via Iterative Realignment
Non-autoregressive models greatly improve decoding speed over typical se...
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08/03/2020
Multimodal Semi-supervised Learning Framework for Punctuation Prediction in Conversational Speech
In this work, we explore a multimodal semi-supervised learning approach ...
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07/04/2020
Robust Prediction of Punctuation and Truecasing for Medical ASR
Automatic speech recognition (ASR) systems in the medical domain that fo...
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07/04/2020
Robust Prediction of Punctuation and Truecasingfor Medical ASR
Automatic speech recognition (ASR) systems in the medical domain that fo...
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12/03/2019
Deep Contextualized Acoustic Representations For Semi-Supervised Speech Recognition
We propose a novel approach to semi-supervised automatic speech recognit...
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10/31/2019
Pseudolikelihood Reranking with Masked Language Models
We rerank with scores from pretrained masked language models like BERT t...
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06/30/2019
Contextual Phonetic Pretraining for End-to-end Utterance-level Language and Speaker Recognition
Pretrained contextual word representations in NLP have greatly improved ...
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03/19/2019
Simple, Fast, Accurate Intent Classification and Slot Labeling
In real-time dialogue systems running at scale, there is a tradeoff betw...
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01/24/2019
Multi-stream Network With Temporal Attention For Environmental Sound Classification
Environmental sound classification systems often do not perform robustly...
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01/22/2019
Self-Attention Networks for Connectionist Temporal Classification in Speech Recognition
Self-attention has demonstrated great success in sequence-to-sequence ta...
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01/26/2018
Context Models for OOV Word Translation in Low-Resource Languages
Out-of-vocabulary word translation is a major problem for the translatio...
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10/04/2017
Syntactic and Semantic Features For Code-Switching Factored Language Models
This paper presents our latest investigations on different features for ...
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09/07/2015