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12/22/2022
Pushing the performances of ASR models on English and Spanish accents
Speech to text models tend to be trained and evaluated against a single ...
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07/20/2022
Improving Data Driven Inverse Text Normalization using Data Augmentation
Inverse text normalization (ITN) is used to convert the spoken form outp...
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11/18/2021
Towards Measuring Fairness in Speech Recognition: Casual Conversations Dataset Transcriptions
It is well known that many machine learning systems demonstrate bias tow...
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11/17/2021
XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale
This paper presents XLS-R, a large-scale model for cross-lingual speech ...
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11/10/2021
Scaling ASR Improves Zero and Few Shot Learning
With 4.5 million hours of English speech from 10 different sources acros...
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10/14/2021
Conformer-Based Self-Supervised Learning for Non-Speech Audio Tasks
Representation learning from unlabeled data has been of major interest i...
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07/09/2021
On lattice-free boosted MMI training of HMM and CTC-based full-context ASR models
Hybrid automatic speech recognition (ASR) models are typically sequentia...
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07/08/2021
Improved Language Identification Through Cross-Lingual Self-Supervised Learning
Language identification greatly impacts the success of downstream tasks ...
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06/14/2021
Kaizen: Continuously improving teacher using Exponential Moving Average for semi-supervised speech recognition
In this paper, we introduce the Kaizen framework that uses a continuousl...
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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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02/11/2021
A Multi-View Approach To Audio-Visual Speaker Verification
Although speaker verification has conventionally been an audio-only task...
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11/09/2020
Benchmarking LF-MMI, CTC and RNN-T Criteria for Streaming ASR
In this work, to measure the accuracy and efficiency for a latency-contr...
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11/07/2020
Dual Application of Speech Enhancement for Automatic Speech Recognition
In this work, we exploit speech enhancement for improving a recurrent ne...
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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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06/04/2020
Contextual RNN-T For Open Domain ASR
End-to-end (E2E) systems for automatic speech recognition (ASR), such as...
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05/19/2020
Fast, Simpler and More Accurate Hybrid ASR Systems Using Wordpieces
In this work, we first show that on the widely used LibriSpeech benchmar...
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05/16/2020
Large scale weakly and semi-supervised learning for low-resource video ASR
Many semi- and weakly-supervised approaches have been investigated for o...
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05/15/2020
Contextualizing ASR Lattice Rescoring with Hybrid Pointer Network Language Model
Videos uploaded on social media are often accompanied with textual descr...
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10/27/2019
Training ASR models by Generation of Contextual Information
Supervised ASR models have reached unprecedented levels of accuracy, tha...
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09/14/2019
