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20182023
most citedScaling Speech Technology to 1,000+ Languages

116 citations · 128 across the 10 of their papers we have counts for

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cs.CL2023

EXPRESSO: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis

Tu Anh Nguyen, Wei-Ning Hsu, Antony D'Avirro +10

Recent work has shown that it is possible to resynthesize high-quality speech based, not on text, but on low bitrate discrete units that have been learned in a self-supervised fash…

cs.CL2023

Prompt to GPT-3: Step-by-Step Thinking Instructions for Humor Generation

Yuetian Chen, Bowen Shi, Mei Si

Artificial intelligence has made significant progress in natural language processing, with models like GPT-3 demonstrating impressive capabilities. However, these models still have…

cs.CL2023116 cited

Scaling Speech Technology to 1,000+ Languages

Vineel Pratap, Andros Tjandra, Bowen Shi +13

Expanding the language coverage of speech technology has the potential to improve access to information for many more people. However, current speech technology is restricted to ab…

cs.CL2020

A Cross-Task Analysis of Text Span Representations

Shubham Toshniwal, Haoyue Shi, Bowen Shi +3

Many natural language processing (NLP) tasks involve reasoning with textual spans, including question answering, entity recognition, and coreference resolution. While extensive res…

cs.CL2019

On the Contributions of Visual and Textual Supervision in Low-Resource Semantic Speech Retrieval

Ankita Pasad, Bowen Shi, Herman Kamper +1

Recent work has shown that speech paired with images can be used to learn semantically meaningful speech representations even without any textual supervision. In real-world low-res…