Ryu Takeda

发表

Sound imaging of nocturnal animal calls in their natural habitat

Kazuyuki Aihara, Takuma Otsuka, Hiroshi G. Okuno, 2011, Journal of Comparative Physiology A.

INTERSPEECH 2006-ICSLP imultaneous Speech Signals by ssing Feature Mask Generation

T. Ogata, Kazunori Komatani, Ryu Takeda, 2006 .

Musical Beat-Tracking for Robots and Its Application to A Music Robot

Hiroshi G. Okuno, Kazuhiro Nakadai, Yuji Hasegawa, 2011 .

Spatial Normalization to Reduce Positional Complexity in Direction-aided Supervised Binaural Sound Source Separation

K. Nakadai, Ryu Takeda, K. Komatani, 2021, 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Elastic spectral distortion for low resource speech recognition with deep neural networks

Naoyuki Kanda, Yasunari Obuchi, Ryu Takeda, 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.

Complex and transitive synchronization in a frustrated system of calling frogs.

Kazuyuki Aihara, Takuma Otsuka, Toru Takahashi, 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

Using rhythmic features for Japanese spoken term detection

Naoyuki Kanda, Yasunari Obuchi, Ryu Takeda, 2012, 2012 IEEE Spoken Language Technology Workshop (SLT).

A robot uses its own microphone to synchronize its steps to musical beats while scatting and singing

Kazuyoshi Yoshii, Hiroshi G. Okuno, Kazuhiro Nakadai, 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Evaluation of Spoken Dialogue System that uses Utterance Timing to Interpret User Utterances

Hiroshi G. Okuno, Tetsuya Ogata, Kazunori Komatani, 2011, IWSDS.

Node Pruning Based on Entropy of Weights and Node Activity for Small-Footprint Acoustic Model Based on Deep Neural Networks

Kazuhiro Nakadai, Kazunori Komatani, Ryu Takeda, 2017, INTERSPEECH.

Investigation of Node Pruning Criteria for Neural Networks Model Compression with Non-Linear Function and Non-Uniform Network Topology

Kazuhiro Nakadai, Ryu Takeda, Yosuke Fukumoto, 2021, 2021 IEEE Spoken Language Technology Workshop (SLT).

Joint Separation and Localization of Moving Sound Sources Based on Neural Full-Rank Spatial Covariance Analysis

Yoshiaki Bando, Ryu Takeda, Masaki Onishi, 2023, IEEE Signal Processing Letters.

Discriminative multiple sound source localization based on deep neural networks using independent location model

Kazunori Komatani, Ryu Takeda, Kazunori Komatani, 2016, 2016 IEEE Spoken Language Technology Workshop (SLT).

Design and implementation of selectable sound separation on the Texai telepresence system using HARK

Hiroshi G. Okuno, Kazuhiro Nakadai, Takuma Otsuka, 2011, 2011 IEEE International Conference on Robotics and Automation.

Multi-timescale Feature-extraction Architecture of Deep Neural Networks for Acoustic Model Training from Raw Speech Signal

Kazuhiro Nakadai, Kazunori Komatani, Ryu Takeda, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Age Estimation with Speech-Age Model for Heterogeneous Speech Datasets

Ryu Takeda, Kazunori Komatani, Ryu Takeda, 2021, Interspeech.

Frame-Wise Online Unsupervised Adaptation of DNN-HMM Acoustic Model from Perspective of Robust Adaptive Filtering

Kazunori Komatani, Ryu Takeda, Kazunori Komatani, 2020, INTERSPEECH.

Size Effect on Call Properties of Japanese Tree Frogs Revealed by Audio-Processing Technique

Hiroshi G. Okuno, Takuma Otsuka, Ikkyu Aihara, 2017, J. Robotics Mechatronics.

Optimized Speech Dereverberation From Probabilistic Perspective for Time Varying Acoustic Transfer Function

Masahito Togami, Yohei Kawaguchi, Yasunari Obuchi, 2013, IEEE Transactions on Audio, Speech, and Language Processing.

Sound source localization based on deep neural networks with directional activate function exploiting phase information

Kazunori Komatani, Ryu Takeda, Kazunori Komatani, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Sound imaging of nocturnal animal calls in their natural habitat

K. Aihara, Takeshi Mizumoto, Takuma Otsuka, 2011, Journal of Comparative Physiology A.

Flexible Evidence Model to Reduce Uncertainty Mismatch Between Speech Enhancement and ASR Based on Encoder-Decoder Architecture

Ryu Takeda, Kazunori Komatani, Yui Sudo, 2023, 2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Empirical Sampling from Latent Utterance-wise Evidence Model for Missing Data ASR based on Neural Encoder-Decoder Model

K. Nakadai, Ryu Takeda, Kazunori Komatani, 2022, INTERSPEECH.