1.8k citations · 3.5k across the 130 of their papers we have counts for
9 papers · 1 filter
Outlier-Aware Training for Improving Group Accuracy Disparities
Li-Kuang Chen, Canasai Kruengkrai, Junichi Yamagishi
Methods addressing spurious correlations such as Just Train Twice (JTT, arXiv:2107.09044v2) involve reweighting a subset of the training set to maximize the worst-group accuracy. H…
The VoicePrivacy 2020 Challenge Evaluation Plan
Natalia Tomashenko, Brij Mohan Lal Srivastava, Xin Wang +8
The VoicePrivacy Challenge aims to promote the development of privacy preservation tools for speech technology by gathering a new community to define the tasks of interest and the…
The VoicePrivacy 2020 Challenge: Results and findings
Natalia Tomashenko, Xin Wang, Emmanuel Vincent +11
This paper presents the results and analyses stemming from the first VoicePrivacy 2020 Challenge which focuses on developing anonymization solutions for speech technology. We provi…
A Multi-Level Attention Model for Evidence-Based Fact Checking
Canasai Kruengkrai, Junichi Yamagishi, Xin Wang
Evidence-based fact checking aims to verify the truthfulness of a claim against evidence extracted from textual sources. Learning a representation that effectively captures relatio…
Viable Threat on News Reading: Generating Biased News Using Natural Language Models
Saurabh Gupta, Huy H. Nguyen, Junichi Yamagishi +1
Recent advancements in natural language generation has raised serious concerns. High-performance language models are widely used for language generation tasks because they are able…
An Investigation of the Relation Between Grapheme Embeddings and Pronunciation for Tacotron-based Systems
Antoine Perquin, Erica Cooper, Junichi Yamagishi
End-to-end models, particularly Tacotron-based ones, are currently a popular solution for text-to-speech synthesis. They allow the production of high-quality synthesized speech wit…
Introducing the VoicePrivacy Initiative
Natalia Tomashenko, Brij Mohan Lal Srivastava, Xin Wang +8
The VoicePrivacy initiative aims to promote the development of privacy preservation tools for speech technology by gathering a new community to define the tasks of interest and the…
Generating Sentiment-Preserving Fake Online Reviews Using Neural Language Models and Their Human- and Machine-based Detection
David Ifeoluwa Adelani, Haotian Mai, Fuming Fang +3
Advanced neural language models (NLMs) are widely used in sequence generation tasks because they are able to produce fluent and meaningful sentences. They can also be used to gener…
Identifying Computer-Translated Paragraphs using Coherence Features
Hoang-Quoc Nguyen-Son, Ngoc-Dung T. Tieu, Huy H. Nguyen +2
We have developed a method for extracting the coherence features from a paragraph by matching similar words in its sentences. We conducted an experiment with a parallel German corp…