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09/14/2023
AV2Wav: Diffusion-Based Re-synthesis from Continuous Self-supervised Features for Audio-Visual Speech Enhancement
Speech enhancement systems are typically trained using pairs of clean an...
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09/02/2023
Self-Supervised Video Transformers for Isolated Sign Language Recognition
This paper presents an in-depth analysis of various self-supervision met...
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06/30/2023
What do self-supervised speech models know about words?
Many self-supervised speech models (S3Ms) have been introduced over the ...
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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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12/16/2022
Context-aware Fine-tuning of Self-supervised Speech Models
Self-supervised pre-trained transformers have improved the state of the ...
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11/08/2022
Comparative layer-wise analysis of self-supervised speech models
Many self-supervised speech models, varying in their pre-training object...
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05/25/2022
Open-Domain Sign Language Translation Learned from Online Video
Existing work on sign language translation–that is, translation from sig...
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05/21/2022
Self-Supervised Speech Representation Learning: A Review
Although supervised deep learning has revolutionized speech and audio pr...
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03/24/2022
Searching for fingerspelled content in American Sign Language
Natural language processing for sign language video - including tasks li...
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12/14/2021
On the Use of External Data for Spoken Named Entity Recognition
Spoken language understanding (SLU) tasks involve mapping from speech au...
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11/19/2021
SLUE: New Benchmark Tasks for Spoken Language Understanding Evaluation on Natural Speech
Progress in speech processing has been facilitated by shared datasets an...
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10/16/2021
Substructure Distribution Projection for Zero-Shot Cross-Lingual Dependency Parsing
We present substructure distribution projection (SubDP), a technique tha...
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09/20/2021
On Generalization in Coreference Resolution
While coreference resolution is defined independently of dataset domain,...
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07/10/2021
Layer-wise Analysis of a Self-supervised Speech Representation Model
Recently proposed self-supervised learning approaches have been successf...
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04/03/2021
Fingerspelling Detection in American Sign Language
Fingerspelling, in which words are signed letter by letter, is an import...
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02/26/2021
Learning Chess Blindfolded: Evaluating Language Models on State Tracking
Transformer language models have made tremendous strides in natural lang...
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01/02/2021
Substructure Substitution: Structured Data Augmentation for NLP
We study a family of data augmentation methods, substructure substitutio...
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12/03/2020
A Correspondence Variational Autoencoder for Unsupervised Acoustic Word Embeddings
We propose a new unsupervised model for mapping a variable-duration spee...
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11/24/2020
Acoustic span embeddings for multilingual query-by-example search
Query-by-example (QbE) speech search is the task of matching spoken quer...
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10/06/2020
Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks
Long document coreference resolution remains a challenging task due to t...
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10/06/2020
On the Role of Supervision in Unsupervised Constituency Parsing
We analyze several recent unsupervised constituency parsing models, whic...
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07/01/2020
Whole-Word Segmental Speech Recognition with Acoustic Word Embeddings
Segmental models are sequence prediction models in which scores of hypot...
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06/24/2020
Multilingual Jointly Trained Acoustic and Written Word Embeddings
Acoustic word embeddings (AWEs) are vector representations of spoken wor...
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06/11/2020
Discrete Latent Variable Representations for Low-Resource Text Classification
While much work on deep latent variable models of text uses continuous l...
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06/06/2020
A Cross-Task Analysis of Text Span Representations
Many natural language processing (NLP) tasks involve reasoning with text...
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05/06/2020
PeTra: A Sparsely Supervised Memory Model for People Tracking
We propose PeTra, a memory-augmented neural network designed to track en...
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01/28/2020
Unsupervised Pre-training of Bidirectional Speech Encoders via Masked Reconstruction
We propose an approach for pre-training speech representations via a mas...
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08/28/2019
Fingerspelling recognition in the wild with iterative visual attention
Sign language recognition is a challenging gesture sequence recognition ...
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06/23/2019
Variational Sequential Labelers for Semi-Supervised Learning
We introduce a family of multitask variational methods for semi-supervis...
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06/07/2019
Visually Grounded Neural Syntax Acquisition
We present the Visually Grounded Neural Syntax Learner (VG-NSL), an appr...
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04/24/2019
On the Contributions of Visual and Textual Supervision in Low-resource Semantic Speech Retrieval
Recent work has shown that speech paired with images can be used to lear...
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04/15/2019
Semantic query-by-example speech search using visual grounding
A number of recent studies have started to investigate how speech system...
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03/29/2019
Acoustically Grounded Word Embeddings for Improved Acoustics-to-Word Speech Recognition
Direct acoustics-to-word (A2W) systems for end-to-end automatic speech r...
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10/26/2018
American Sign Language fingerspelling recognition in the wild
We address the problem of American Sign Language fingerspelling recognit...
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09/05/2018
Pre-training on high-resource speech recognition improves low-resource speech-to-text translation
We present a simple approach to improve direct speech-to-text translatio...
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07/27/2018
A Comparison of Techniques for Language Model Integration in Encoder-Decoder Speech Recognition
Attention-based recurrent neural encoder-decoder models present an elega...
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07/17/2018
Hierarchical Multitask Learning for CTC-based Speech Recognition
Previous work has shown that neural encoder-decoder speech recognition c...
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03/24/2018
Low-Resource Speech-to-Text Translation
Speech-to-text translation has many potential applications for low-resou...
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03/19/2018
Acoustic feature learning using cross-domain articulatory measurements
Previous work has shown that it is possible to improve speech recognitio...
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03/19/2018
Acoustic feature learning cross-domain articulatory measurements
Previous work has shown that it is possible to improve speech recognitio...
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10/28/2017
A Study of All-Convolutional Encoders for Connectionist Temporal Classification
Connectionist temporal classification (CTC) is a popular sequence predic...
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10/09/2017
Multitask training with unlabeled data for end-to-end sign language fingerspelling recognition
We address the problem of automatic American Sign Language fingerspellin...
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10/05/2017
Semantic keyword spotting by learning from images and speech
We consider the problem of representing semantic concepts in speech by l...
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08/11/2017
Acoustic Feature Learning via Deep Variational Canonical Correlation Analysis
We study the problem of acoustic feature learning in the setting where w...
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08/01/2017
End-to-End Neural Segmental Models for Speech Recognition
Segmental models are an alternative to frame-based models for sequence p...
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06/12/2017
Query-by-Example Search with Discriminative Neural Acoustic Word Embeddings
Query-by-example search often uses dynamic time warping (DTW) for compar...
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06/09/2017
Learning to Embed Words in Context for Syntactic Tasks
We present models for embedding words in the context of surrounding word...
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04/24/2017
Joint Modeling of Text and Acoustic-Prosodic Cues for Neural Parsing
In conversational speech, the acoustic signal provides cues that help li...
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04/05/2017
Multitask Learning with Low-Level Auxiliary Tasks for Encoder-Decoder Based Speech Recognition
End-to-end training of deep learning-based models allows for implicit le...
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03/23/2017
