activity
20192023
most citedOverview of Dialogue Robot Competition 2022

2 citations · 6 across the 9 of their papers we have counts for

collaborators

9 papers

cs.SD2023★ 1 cited

Pretraining Conformer with ASR or ASV for Anti-Spoofing Countermeasure

Yikang Wang, Hiromitsu Nishizaki, Ming Li

Finding synthetic artifacts of spoofing data will help the anti-spoofing countermeasures (CMs) system discriminate between spoofed and real speech. The Conformer combines the best…

cs.SD2022

Low Pass Filtering and Bandwidth Extension for Robust Anti-spoofing Countermeasure Against Codec Variabilities

Yikang Wang, Xingming Wang, Hiromitsu Nishizaki +1

A reliable voice anti-spoofing countermeasure system needs to robustly protect automatic speaker verification (ASV) systems in various kinds of spoofing scenarios. However, the per…

cs.RO2022★ 1 cited

Proceedings of the Dialogue Robot Competition 2022

Ryuichiro Higashinaka, Takashi Minato, Hiromitsu Nishizaki +1

The proceedings contain papers on the dialogue systems developed by the twelve teams participating in DRC2022, as well as an overview paper summarizing the competition.

cs.RO2022★ 2 cited

Overview of Dialogue Robot Competition 2022

Takashi Minato, Ryuichiro Higashinaka, Kurima Sakai +3

Although many competitions have been held on dialogue systems in the past, no competition has been organized specifically for dialogue with humanoid robots. As the first such attem…

eess.AS2022

Frequency-Directional Attention Model for Multilingual Automatic Speech Recognition

Akihiro Dobashi, Chee Siang Leow, Hiromitsu Nishizaki

This paper proposes a model for transforming speech features using the frequency-directional attention model for End-to-End (E2E) automatic speech recognition. The idea is based on…

cs.SD2022★ 1 cited

Combination of Time-domain, Frequency-domain, and Cepstral-domain Acoustic Features for Speech Commands Classification

Yikang Wang, Hiromitsu Nishizaki

In speech-related classification tasks, frequency-domain acoustic features such as logarithmic Mel-filter bank coefficients (FBANK) and cepstral-domain acoustic features such as Me…

eess.AS2021

Peer Collaborative Learning for Polyphonic Sound Event Detection

Hayato Endo, Hiromitsu Nishizaki

This paper describes that semi-supervised learning called peer collaborative learning (PCL) can be applied to the polyphonic sound event detection (PSED) task, which is one of the…

eess.AS2021

ExKaldi-RT: A Real-Time Automatic Speech Recognition Extension Toolkit of Kaldi

Yu Wang, Chee Siang Leow, Akio Kobayashi +2

This paper describes the ExKaldi-RT online automatic speech recognition (ASR) toolkit that is implemented based on the Kaldi ASR toolkit and Python language. ExKaldi-RT provides to…

eess.AS2019★ 1 cited

Audio Classification of Bit-Representation Waveform

Masaki Okawa, Takuya Saito, Naoki Sawada +1

This study investigated the waveform representation for audio signal classification. Recently, many studies on audio waveform classification such as acoustic event detection and mu…