activity
20202025
most citedSeMemNN: A Semantic Matrix-Based Memory Neural Network for Text Classification

18 citations · 34 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2025

What Do Humans Hear When Interacting? Experiments on Selective Listening for Evaluating ASR of Spoken Dialogue Systems

Kiyotada Mori, Seiya Kawano, Chaoran Liu +3

Spoken dialogue systems (SDSs) utilize automatic speech recognition (ASR) at the front end of their pipeline. The role of ASR in SDSs is to recognize information in user speech rel…

cs.RO2025★ 1 cited

Quadrupedal Spine Control Strategies: Exploring Correlations Between System Dynamic Responses and Human Perspectives

Nicholas Hafner, Chaoran Liu, Carlos Ishi +1

Unlike their biological cousins, the majority of existing quadrupedal robots are constructed with rigid chassis. This results in motion that is either beetle-like or distinctly rob…

eess.AS2023★ 1 cited

Using joint training speaker encoder with consistency loss to achieve cross-lingual voice conversion and expressive voice conversion

Houjian Guo, Chaoran Liu, Carlos Toshinori Ishi +1

Voice conversion systems have made significant advancements in terms of naturalness and similarity in common voice conversion tasks. However, their performance in more complex task…

cs.SD2023★ 6 cited

QuickVC: Any-to-many Voice Conversion Using Inverse Short-time Fourier Transform for Faster Conversion

Houjian Guo, Chaoran Liu, Carlos Toshinori Ishi +1

With the development of automatic speech recognition (ASR) and text-to-speech (TTS) technology, high-quality voice conversion (VC) can be achieved by extracting source content info…

cs.SD2021★ 8 cited

CycleTransGAN-EVC: A CycleGAN-based Emotional Voice Conversion Model with Transformer

Changzeng Fu, Chaoran Liu, Carlos Toshinori Ishi +1

In this study, we explore the transformer's ability to capture intra-relations among frames by augmenting the receptive field of models. Concretely, we propose a CycleGAN-based mod…

cs.CL2020★ 18 cited

SeMemNN: A Semantic Matrix-Based Memory Neural Network for Text Classification

Changzeng Fu, Chaoran Liu, Carlos Toshinori Ishi +2

Text categorization is the task of assigning labels to documents written in a natural language, and it has numerous real-world applications including sentiment analysis as well as…