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20212026
most citedSelf-Supervised Representation Learning for Speech Using Visual Grounding and Masked Language Modeling

19 citations · 53 across the 45 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

eess.AS2023★ 1 cited

AV-SUPERB: A Multi-Task Evaluation Benchmark for Audio-Visual Representation Models

Yuan Tseng, Layne Berry, Yi-Ting Chen +16

Audio-visual representation learning aims to develop systems with human-like perception by utilizing correlation between auditory and visual information. However, current models of…

cs.CL2023

Style-transfer based Speech and Audio-visual Scene Understanding for Robot Action Sequence Acquisition from Videos

Chiori Hori, Puyuan Peng, David Harwath +7

To realize human-robot collaboration, robots need to execute actions for new tasks according to human instructions given finite prior knowledge. Human experts can share their knowl…

cs.CL2023

When to Use Efficient Self Attention? Profiling Text, Speech and Image Transformer Variants

Anuj Diwan, Eunsol Choi, David Harwath

We present the first unified study of the efficiency of self-attention-based Transformer variants spanning text, speech and vision. We identify input length thresholds (tipping poi…

cs.CL2023★ 2 cited

Textless Speech-to-Speech Translation With Limited Parallel Data

Anuj Diwan, Anirudh Srinivasan, David Harwath +1

Existing speech-to-speech translation (S2ST) models fall into two camps: they either leverage text as an intermediate step or require hundreds of hours of parallel speech data. Bot…

eess.AS2023★ 1 cited

Syllable Discovery and Cross-Lingual Generalization in a Visually Grounded, Self-Supervised Speech Model

Puyuan Peng, Shang-Wen Li, Okko Räsänen +2

In this paper, we show that representations capturing syllabic units emerge when training a self-supervised speech model with a visually-grounded training objective. We demonstrate…

eess.AS2023

Prompting the Hidden Talent of Web-Scale Speech Models for Zero-Shot Task Generalization

Puyuan Peng, Brian Yan, Shinji Watanabe +1

We investigate the emergent abilities of the recently proposed web-scale speech model Whisper, by adapting it to unseen tasks with prompt engineering. We selected three tasks: audi…