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05/21/2023
Multi-Head State Space Model for Speech Recognition
State space models (SSMs) have recently shown promising results on small...
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09/13/2022
Learning ASR pathways: A sparse multilingual ASR model
Neural network pruning can be effectively applied to compress automatic ...
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07/25/2022
Learning a Dual-Mode Speech Recognition Model via Self-Pruning
There is growing interest in unifying the streaming and full-context aut...
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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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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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10/07/2021
Streaming Transformer Transducer Based Speech Recognition Using Non-Causal Convolution
This paper improves the streaming transformer transducer for speech reco...
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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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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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05/15/2020
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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10/23/2019
Deja-vu: Double Feature Presentation in Deep Transformer Networks
Deep acoustic models typically receive features in the first layer of th...
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10/22/2019
Transformer-based Acoustic Modeling for Hybrid Speech Recognition
We propose and evaluate transformer-based acoustic models (AMs) for hybr...
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09/14/2019
Multilingual ASR with Massive Data Augmentation
Towards developing high-performing ASR for low-resource languages, appro...
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12/10/2018
Low Resource Multi-modal Data Augmentation for End-to-end ASR
We explore training attention-based encoder-decoder ASR for low-resource...
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07/17/2018
Low-Resource Contextual Topic Identification on Speech
In topic identification (topic ID) on real-world unstructured audio, an ...
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02/23/2018
The JHU Speech LOREHLT 2017 System: Cross-Language Transfer for Situation-Frame Detection
We describe the system our team used during NIST's LoReHLT (Low Resource...
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03/22/2017
Topic Identification for Speech without ASR
Modern topic identification (topic ID) systems for speech use automatic ...
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02/05/2017