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20212026
most citedLearning to Estimate Shapley Values with Vision Transformers

12 citations · 29 across the 20 of their papers we have counts for

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eess.AS2022

An Empirical Study on L2 Accents of Cross-lingual Text-to-Speech Systems via Vowel Space

Jihwan Lee, Jae-Sung Bae, Seongkyu Mun +4

With the recent developments in cross-lingual Text-to-Speech (TTS) systems, L2 (second-language, or foreign) accent problems arise. Moreover, running a subjective evaluation for su…

cs.LG2022★ 2 cited

Contrastive Corpus Attribution for Explaining Representations

Chris Lin, Hugh Chen, Chanwoo Kim +1

Despite the widespread use of unsupervised models, very few methods are designed to explain them. Most explanation methods explain a scalar model output. However, unsupervised mode…

cs.CV2022★ 12 cited

Learning to Estimate Shapley Values with Vision Transformers

Ian Covert, Chanwoo Kim, Su-In Lee

Transformers have become a default architecture in computer vision, but understanding what drives their predictions remains a challenging problem. Current explanation approaches re…

eess.AS2022★ 2 cited

Into-TTS : Intonation Template Based Prosody Control System

Jihwan Lee, Joun Yeop Lee, Heejin Choi +4

Intonations play an important role in delivering the intention of a speaker. However, current end-to-end TTS systems often fail to model proper intonations. To alleviate this probl…

eess.AS2022

Two-Pass End-to-End ASR Model Compression

Nauman Dawalatabad, Tushar Vatsal, Ashutosh Gupta +4

Speech recognition on smart devices is challenging owing to the small memory footprint. Hence small size ASR models are desirable. With the use of popular transducer-based models,…