42 citations · 56 across the 23 of their papers we have counts for
8 papers · 1 filter
Average Token Delay: A Latency Metric for Simultaneous Translation
Yasumasa Kano, Katsuhito Sudoh, Satoshi Nakamura
Simultaneous translation is a task in which translation begins before the speaker has finished speaking. In its evaluation, we have to consider the latency of the translation in ad…
E2E Refined Dataset
Keisuke Toyama, Katsuhito Sudoh, Satoshi Nakamura
Although the well-known MR-to-text E2E dataset has been used by many researchers, its MR-text pairs include many deletion/insertion/substitution errors. Since such errors affect th…
Subspace Representations for Soft Set Operations and Sentence Similarities
Yoichi Ishibashi, Sho Yokoi, Katsuhito Sudoh +1
In the field of natural language processing (NLP), continuous vector representations are crucial for capturing the semantic meanings of individual words. Yet, when it comes to the…
USB: A Unified Semi-supervised Learning Benchmark for Classification
Yidong Wang, Hao Chen, Yue Fan +19
Semi-supervised learning (SSL) improves model generalization by leveraging massive unlabeled data to augment limited labeled samples. However, currently, popular SSL evaluation pro…
Improved Consistency Training for Semi-Supervised Sequence-to-Sequence ASR via Speech Chain Reconstruction and Self-Transcribing
Heli Qi, Sashi Novitasari, Sakriani Sakti +1
Consistency regularization has recently been applied to semi-supervised sequence-to-sequence (S2S) automatic speech recognition (ASR). This principle encourages an ASR model to out…
Applying Syntax$\unicode{x2013}$Prosody Mapping Hypothesis and Prosodic Well-Formedness Constraints to Neural Sequence-to-Sequence Speech Synthesis
Kei Furukawa, Takeshi Kishiyama, Satoshi Nakamura
End-to-end text-to-speech synthesis (TTS), which generates speech sounds directly from strings of texts or phonemes, has improved the quality of speech synthesis over the conventio…
Representing 'how you say' with 'what you say': English corpus of focused speech and text reflecting corresponding implications
Naoaki Suzuki, Satoshi Nakamura
In speech communication, how something is said (paralinguistic information) is as crucial as what is said (linguistic information). As a type of paralinguistic information, English…
Speech Segmentation Optimization using Segmented Bilingual Speech Corpus for End-to-end Speech Translation
Ryo Fukuda, Katsuhito Sudoh, Satoshi Nakamura
Speech segmentation, which splits long speech into short segments, is essential for speech translation (ST). Popular VAD tools like WebRTC VAD have generally relied on pause-based…