Katrin Kirchhoff

research

∙ 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...

0 Anshu Bhatia, et al. ∙

research

∙ 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 ...

0 Goeric Huybrechts, et al. ∙

research

∙ 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...

0 Nilaksh Das, et al. ∙

research

∙ 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...

0 Hritik Bansal, et al. ∙

research

∙ 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...

0 Dhanush Bekal, et al. ∙

research

∙ 10/18/2022

Personalization of CTC Speech Recognition Models

End-to-end speech recognition models trained using joint Connectionist T...

6 Saket Dingliwal, et al. ∙

research

∙ 05/21/2022

Self-Supervised Speech Representation Learning: A Review

Although supervised deep learning has revolutionized speech and audio pr...

0 Abdelrahman Mohamed, et al. ∙

research

∙ 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...

6 Saket Dingliwal, et al. ∙

research

∙ 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 ...

0 Rohit Paturi, et al. ∙

research

∙ 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...

7 Saket Dingliwal, et al. ∙

research

∙ 09/10/2021

Remember the context! ASR slot error correction through memorization

Accurate recognition of slot values such as domain specific words or nam...

0 Dhanush Bekal, et al. ∙

research

∙ 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...

4 Ashish Shenoy, et al. ∙

research

∙ 04/21/2021

Adapting Long Context NLM for ASR Rescoring in Conversational Agents

Neural Language Models (NLM), when trained and evaluated with context sp...

13 Ashish Shenoy, et al. ∙

research

∙ 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...

30 Ashish Shenoy, et al. ∙

research

∙ 02/12/2021

Neural Inverse Text Normalization

While there have been several contributions exploring state of the art t...

4 Monica Sunkara, et al. ∙

research

∙ 11/30/2020

Transformer-Transducers for Code-Switched Speech Recognition

We live in a world where 60 languages fluently. Members of these communi...

0 Siddharth Dalmia, et al. ∙

research

∙ 10/24/2020

Align-Refine: Non-Autoregressive Speech Recognition via Iterative Realignment

Non-autoregressive models greatly improve decoding speed over typical se...

0 Ethan A. Chi, et al. ∙

research

∙ 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 ...

0 Monica Sunkara, et al. ∙

research

∙ 07/04/2020

Robust Prediction of Punctuation and Truecasing for Medical ASR

Automatic speech recognition (ASR) systems in the medical domain that fo...

0 Monica Sunkara, et al. ∙

research

∙ 07/04/2020

Robust Prediction of Punctuation and Truecasingfor Medical ASR

Automatic speech recognition (ASR) systems in the medical domain that fo...

0 Monica Sunkara, et al. ∙

research

∙ 12/03/2019

Deep Contextualized Acoustic Representations For Semi-Supervised Speech Recognition

We propose a novel approach to semi-supervised automatic speech recognit...

0 Shaoshi Ling, et al. ∙

research

∙ 10/31/2019

Pseudolikelihood Reranking with Masked Language Models

We rerank with scores from pretrained masked language models like BERT t...

15 Julian Salazar, et al. ∙

research

∙ 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 ...

0 Shaoshi Ling, et al. ∙

research

∙ 03/19/2019

Simple, Fast, Accurate Intent Classification and Slot Labeling

In real-time dialogue systems running at scale, there is a tradeoff betw...

0 Arshit Gupta, et al. ∙

research

∙ 01/24/2019

Multi-stream Network With Temporal Attention For Environmental Sound Classification

Environmental sound classification systems often do not perform robustly...

0 Xinyu Li, et al. ∙

research

∙ 01/22/2019

Self-Attention Networks for Connectionist Temporal Classification in Speech Recognition

Self-attention has demonstrated great success in sequence-to-sequence ta...

0 Julian Salazar, et al. ∙

research

∙ 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...

0 Angli Liu, et al. ∙

research

∙ 10/04/2017

Syntactic and Semantic Features For Code-Switching Factored Language Models

This paper presents our latest investigations on different features for ...

0 Heike Adel, et al. ∙

research

∙ 09/07/2015

Exploiting Out-of-Domain Data Sources for Dialectal Arabic Statistical Machine Translation

Statistical machine translation for dialectal Arabic is characterized by...

0 Katrin Kirchhoff, et al. ∙

Katrin Kirchhoff

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