25 citations · 61 across the 15 of their papers we have counts for
17 papers
ArtELingo: A Million Emotion Annotations of WikiArt with Emphasis on Diversity over Language and Culture
Youssef Mohamed, Mohamed Abdelfattah, Shyma Alhuwaider +4
This paper introduces ArtELingo, a new benchmark and dataset, designed to encourage work on diversity across languages and cultures. Following ArtEmis, a collection of 80k artworks…
Data-Driven Adaptive Simultaneous Machine Translation
Guangxu Xun, Mingbo Ma, Yuchen Bian +7
In simultaneous translation (SimulMT), the most widely used strategy is the wait-k policy thanks to its simplicity and effectiveness in balancing translation quality and latency. H…
Efficiently Disentangle Causal Representations
Yuanpeng Li, Joel Hestness, Mohamed Elhoseiny +2
This paper proposes an efficient approach to learning disentangled representations with causal mechanisms based on the difference of conditional probabilities in original and new d…
Exploiting a Zoo of Checkpoints for Unseen Tasks
Jiaji Huang, Qiang Qiu, Kenneth Church
There are so many models in the literature that it is difficult for practitioners to decide which combinations are likely to be effective for a new task. This paper attempts to add…
Automatic recognition of suprasegmentals in speech
Jiahong Yuan, Neville Ryant, Xingyu Cai +2
This study reports our efforts to improve automatic recognition of suprasegmentals by fine-tuning wav2vec 2.0 with CTC, a method that has been successful in automatic speech recogn…
The Role of Phonetic Units in Speech Emotion Recognition
Jiahong Yuan, Xingyu Cai, Renjie Zheng +2
We propose a method for emotion recognition through emotiondependent speech recognition using Wav2vec 2.0. Our method achieved a significant improvement over most previously report…
Decoupling recognition and transcription in Mandarin ASR
Jiahong Yuan, Xingyu Cai, Dongji Gao +3
Much of the recent literature on automatic speech recognition (ASR) is taking an end-to-end approach. Unlike English where the writing system is closely related to sound, Chinese c…
Better than BERT but Worse than Baseline
Boxiang Liu, Jiaji Huang, Xingyu Cai +1
This paper compares BERT-SQuAD and Ab3P on the Abbreviation Definition Identification (ADI) task. ADI inputs a text and outputs short forms (abbreviations/acronyms) and long forms…
The Third DIHARD Diarization Challenge
Neville Ryant, Prachi Singh, Venkat Krishnamohan +6
DIHARD III was the third in a series of speaker diarization challenges intended to improve the robustness of diarization systems to variability in recording equipment, noise condit…
Fluent and Low-latency Simultaneous Speech-to-Speech Translation with Self-adaptive Training
Renjie Zheng, Mingbo Ma, Baigong Zheng +4
Simultaneous speech-to-speech translation is widely useful but extremely challenging, since it needs to generate target-language speech concurrently with the source-language speech…
Third DIHARD Challenge Evaluation Plan
Neville Ryant, Kenneth Church, Christopher Cieri +3
This paper introduces the third DIHARD challenge, the third in a series of speaker diarization challenges intended to improve the robustness of diarization systems to variation in…
Exploring Long Tail Visual Relationship Recognition with Large Vocabulary
Sherif Abdelkarim, Aniket Agarwal, Panos Achlioptas +5
Several approaches have been proposed in recent literature to alleviate the long-tail problem, mainly in object classification tasks. In this paper, we make the first large-scale s…
Incremental Text-to-Speech Synthesis with Prefix-to-Prefix Framework
Mingbo Ma, Baigong Zheng, Kaibo Liu +5
Text-to-speech synthesis (TTS) has witnessed rapid progress in recent years, where neural methods became capable of producing audios with high naturalness. However, these efforts s…
The Second DIHARD Diarization Challenge: Dataset, task, and baselines
Neville Ryant, Kenneth Church, Christopher Cieri +4
This paper introduces the second DIHARD challenge, the second in a series of speaker diarization challenges intended to improve the robustness of diarization systems to variation i…
Language Modeling at Scale
Mostofa Patwary, Milind Chabbi, Heewoo Jun +3
We show how Zipf's Law can be used to scale up language modeling (LM) to take advantage of more training data and more GPUs. LM plays a key role in many important natural language…
Nonlinear Estimators and Tail Bounds for Dimension Reduction in Using Cauchy Random Projections
Ping Li, Trevor J. Hastie, Kenneth W. Church
For dimension reduction in , the method of {\em Cauchy random projections} multiplies the original data matrix with a random matrix $\ma…
K-vec: A New Approach for Aligning Parallel Texts
Pascale Fung, Kenneth Church
Various methods have been proposed for aligning texts in two or more languages such as the Canadian Parliamentary Debates(Hansards). Some of these methods generate a bilingual lexi…