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05/21/2023
Comparison of Multilingual Self-Supervised and Weakly-Supervised Speech Pre-Training for Adaptation to Unseen Languages
Recent models such as XLS-R and Whisper have made multilingual speech te...
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04/04/2023
FisHook – An Optimized Approach to Marine Specie Classification using MobileNetV2
Marine ecosystems are vital for the planet's health, but human activitie...
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03/29/2023
What, when, and where? – Self-Supervised Spatio-Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions
Spatio-temporal grounding describes the task of localizing events in spa...
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10/07/2022
C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video Retrieval
Multilingual text-video retrieval methods have improved significantly in...
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07/28/2022
Extending RNN-T-based speech recognition systems with emotion and language classification
Speech transcription, emotion recognition, and language identification a...
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04/11/2022
Tokenwise Contrastive Pretraining for Finer Speech-to-BERT Alignment in End-to-End Speech-to-Intent Systems
Recent advances in End-to-End (E2E) Spoken Language Understanding (SLU) ...
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04/11/2022
Towards End-to-End Integration of Dialog History for Improved Spoken Language Understanding
Dialog history plays an important role in spoken language understanding ...
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02/26/2022
Towards Reducing the Need for Speech Training Data To Build Spoken Language Understanding Systems
The lack of speech data annotated with labels required for spoken langua...
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02/26/2022
Integrating Text Inputs For Training and Adapting RNN Transducer ASR Models
Compared to hybrid automatic speech recognition (ASR) systems that use a...
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02/21/2022
A new data augmentation method for intent classification enhancement and its application on spoken conversation datasets
Intent classifiers are vital to the successful operation of virtual agen...
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01/28/2022
Improving End-to-End Models for Set Prediction in Spoken Language Understanding
The goal of spoken language understanding (SLU) systems is to determine ...
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12/08/2021
Everything at Once – Multi-modal Fusion Transformer for Video Retrieval
Multi-modal learning from video data has seen increased attention recent...
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12/01/2021
Routing with Self-Attention for Multimodal Capsule Networks
The task of multimodal learning has seen a growing interest recently as ...
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11/08/2021
Cascaded Multilingual Audio-Visual Learning from Videos
In this paper, we explore self-supervised audio-visual models that learn...
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08/18/2021
Integrating Dialog History into End-to-End Spoken Language Understanding Systems
End-to-end spoken language understanding (SLU) systems that process huma...
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04/26/2021
Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos
Multimodal self-supervised learning is getting more and more attention a...
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04/08/2021
RNN Transducer Models For Spoken Language Understanding
We present a comprehensive study on building and adapting RNN transducer...
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04/07/2021
Speak or Chat with Me: End-to-End Spoken Language Understanding System with Flexible Inputs
A major focus of recent research in spoken language understanding (SLU) ...
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02/19/2021
A Compiler Infrastructure for Accelerator Generators
We present Calyx, a new intermediate language (IL) for compiling high-le...
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11/16/2020
End-to-end spoken language understanding using transformer networks and self-supervised pre-trained features
Transformer networks and self-supervised pre-training have consistently ...
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10/08/2020
Leveraging Unpaired Text Data for Training End-to-End Speech-to-Intent Systems
Training an end-to-end (E2E) neural network speech-to-intent (S2I) syste...
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09/30/2020
End-to-End Spoken Language Understanding Without Full Transcripts
An essential component of spoken language understanding (SLU) is slot fi...
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06/29/2020
Learning Hamiltonian Monte Carlo in R
Hamiltonian Monte Carlo (HMC) is a powerful tool for Bayesian computatio...
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06/16/2020
AVLnet: Learning Audio-Visual Language Representations from Instructional Videos
Current methods for learning visually grounded language from videos ofte...
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04/09/2020
Predictable Accelerator Design with Time-Sensitive Affine Types
Field-programmable gate arrays (FPGAs) provide an opportunity to co-desi...
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04/30/2019
English Broadcast News Speech Recognition by Humans and Machines
With recent advances in deep learning, considerable attention has been g...
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02/19/2019
Layering Data Structures over Skip Graphs for Increased NUMA Locality
We describe an approach for blackbox concurrency based on layering user-...
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11/30/2018
Understanding Unequal Gender Classification Accuracy from Face Images
Recent work shows unequal performance of commercial face classification ...
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11/03/2018
SimplerVoice: A Key Message & Visual Description Generator System for Illiteracy
We introduce SimplerVoice: a key message and visual description generato...
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02/07/2018
Joint Modeling of Accents and Acoustics for Multi-Accent Speech Recognition
The performance of automatic speech recognition systems degrades with in...
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09/19/2017
A Recorded Debating Dataset
This paper describes an audio and textual dataset of debating speeches, ...
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03/06/2017
English Conversational Telephone Speech Recognition by Humans and Machines
One of the most difficult speech recognition tasks is accurate recogniti...
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11/27/2016
