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09/19/2023
Semi-Autoregressive Streaming ASR With Label Context
Non-autoregressive (NAR) modeling has gained significant interest in spe...
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09/18/2023
Dynamic-SUPERB: Towards A Dynamic, Collaborative, and Comprehensive Instruction-Tuning Benchmark for Speech
Text language models have shown remarkable zero-shot capability in gener...
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09/16/2023
Decoder-only Architecture for Speech Recognition with CTC Prompts and Text Data Augmentation
Collecting audio-text pairs is expensive; however, it is much easier to ...
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07/24/2023
Integration of Frame- and Label-synchronous Beam Search for Streaming Encoder-decoder Speech Recognition
Although frame-based models, such as CTC and transducers, have an affini...
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07/20/2023
Integrating Pretrained ASR and LM to Perform Sequence Generation for Spoken Language Understanding
There has been an increased interest in the integration of pretrained sp...
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07/17/2023
BASS: Block-wise Adaptation for Speech Summarization
End-to-end speech summarization has been shown to improve performance ov...
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05/18/2023
A Comparative Study on E-Branchformer vs Conformer in Speech Recognition, Translation, and Understanding Tasks
Conformer, a convolution-augmented Transformer variant, has become the d...
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05/02/2023
A Study on the Integration of Pipeline and E2E SLU systems for Spoken Semantic Parsing toward STOP Quality Challenge
Recently there have been efforts to introduce new benchmark tasks for sp...
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05/02/2023
The Pipeline System of ASR and NLU with MLM-based Data Augmentation toward STOP Low-resource Challenge
This paper describes our system for the low-resource domain adaptation t...
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05/01/2023
Joint Modelling of Spoken Language Understanding Tasks with Integrated Dialog History
Most human interactions occur in the form of spoken conversations where ...
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12/20/2022
SLUE Phase-2: A Benchmark Suite of Diverse Spoken Language Understanding Tasks
Spoken language understanding (SLU) tasks have been studied for many dec...
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11/16/2022
Streaming Joint Speech Recognition and Disfluency Detection
Disfluency detection has mainly been solved in a pipeline approach, as p...
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11/10/2022
A Study on the Integration of Pre-trained SSL, ASR, LM and SLU Models for Spoken Language Understanding
Collecting sufficient labeled data for spoken language understanding (SL...
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10/29/2022
BERT Meets CTC: New Formulation of End-to-End Speech Recognition with Pre-trained Masked Language Model
This paper presents BERT-CTC, a novel formulation of end-to-end speech r...
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10/27/2022
Token-level Sequence Labeling for Spoken Language Understanding using Compositional End-to-End Models
End-to-end spoken language understanding (SLU) systems are gaining popul...
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07/14/2022
Two-Pass Low Latency End-to-End Spoken Language Understanding
End-to-end (E2E) models are becoming increasingly popular for spoken lan...
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06/28/2022
Creation and Analysis of an International Corpus of Privacy Laws
The landscape of privacy laws and regulations around the world is comple...
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04/19/2022
Blockwise Streaming Transformer for Spoken Language Understanding and Simultaneous Speech Translation
Although Transformers have gained success in several speech processing t...
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12/17/2021
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations
In attempts to "explain" predictions of machine learning models, researc...
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11/29/2021
ESPnet-SLU: Advancing Spoken Language Understanding through ESPnet
As Automatic Speech Processing (ASR) systems are getting better, there i...
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06/29/2021
Rethinking End-to-End Evaluation of Decomposable Tasks: A Case Study on Spoken Language Understanding
Decomposable tasks are complex and comprise of a hierarchy of sub-tasks....
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04/30/2021
BERT Meets Relational DB: Contextual Representations of Relational Databases
In this paper, we address the problem of learning low dimension represen...
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07/24/2020
A Survey on Graph Neural Networks for Knowledge Graph Completion
Knowledge Graphs are increasingly becoming popular for a variety of down...
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06/03/2020
IterefinE: Iterative KG Refinement Embeddings using Symbolic Knowledge
Knowledge Graphs (KGs) extracted from text sources are often noisy and l...
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05/13/2020
On Embeddings in Relational Databases
We address the problem of learning a distributed representation of entit...
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04/11/2019