25 citations · 61 across the 15 of their papers we have counts for
9 papers · 1 filter
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…
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…
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…
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…
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…