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2020 – today
- 2024
[i35]Min Ma, Yuma Koizumi, Shigeki Karita, Heiga Zen, Jason Riesa, Haruko Ishikawa, Michiel Bacchiani:
FLEURS-R: A Restored Multilingual Speech Corpus for Generation Tasks. CoRR abs/2408.06227 (2024)- 2023
- [c49]Yuma Koizumi, Heiga Zen
, Shigeki Karita, Yifan Ding, Kohei Yatabe, Nobuyuki Morioka, Michiel Bacchiani, Yu Zhang, Wei Han, Ankur Bapna:
LibriTTS-R: A Restored Multi-Speaker Text-to-Speech Corpus. INTERSPEECH 2023: 5496-5500 - [c48]Yuma Koizumi, Heiga Zen, Shigeki Karita, Yifan Ding, Kohei Yatabe, Nobuyuki Morioka, Yu Zhang, Wei Han, Ankur Bapna, Michiel Bacchiani:
Miipher: A Robust Speech Restoration Model Integrating Self-Supervised Speech and Text Representations. WASPAA 2023: 1-5 - [i34]Yuma Koizumi, Heiga Zen, Shigeki Karita, Yifan Ding, Kohei Yatabe, Nobuyuki Morioka, Yu Zhang, Wei Han, Ankur Bapna, Michiel Bacchiani:
Miipher: A Robust Speech Restoration Model Integrating Self-Supervised Speech and Text Representations. CoRR abs/2303.01664 (2023) - [i33]Kota Dohi, Keisuke Imoto, Noboru Harada, Daisuke Niizumi, Yuma Koizumi, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Yohei Kawaguchi:
Description and Discussion on DCASE 2023 Challenge Task 2: First-Shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring. CoRR abs/2305.07828 (2023) - [i32]Yuma Koizumi, Heiga Zen, Shigeki Karita, Yifan Ding, Kohei Yatabe, Nobuyuki Morioka, Michiel Bacchiani, Yu Zhang, Wei Han, Ankur Bapna:
LibriTTS-R: A Restored Multi-Speaker Text-to-Speech Corpus. CoRR abs/2305.18802 (2023) - 2022
- [c47]Kota Dohi, Keisuke Imoto, Noboru Harada, Daisuke Niizumi, Yuma Koizumi, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Masaaki Yamamoto, Yohei Kawaguchi:
Description and Discussion on DCASE 2022 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Applying Domain Generalization Techniques. DCASE 2022 - [c46]Yuma Koizumi, Heiga Zen, Kohei Yatabe, Nanxin Chen, Michiel Bacchiani:
SpecGrad: Diffusion Probabilistic Model based Neural Vocoder with Adaptive Noise Spectral Shaping. INTERSPEECH 2022: 803-807 - [c45]Yuma Koizumi, Shigeki Karita, Arun Narayanan, Sankaran Panchapagesan, Michiel Bacchiani:
SNRi Target Training for Joint Speech Enhancement and Recognition. INTERSPEECH 2022: 1173-1177 - [c44]Arun Narayanan, James Walker, Sankaran Panchapagesan, Nathan Howard, Yuma Koizumi:
Learning Mask Scalars for Improved Robust Automatic Speech Recognition. SLT 2022: 317-323 - [c43]Yuma Koizumi, Kohei Yatabe, Heiga Zen, Michiel Bacchiani:
Wavefit: an Iterative and Non-Autoregressive Neural Vocoder Based on Fixed-Point Iteration. SLT 2022: 884-891 - [i31]Yuma Koizumi, Heiga Zen, Kohei Yatabe, Nanxin Chen, Michiel Bacchiani:
SpecGrad: Diffusion Probabilistic Model based Neural Vocoder with Adaptive Noise Spectral Shaping. CoRR abs/2203.16749 (2022) - [i30]Arun Narayanan, James Walker, Sankaran Panchapagesan, Nathan Howard, Yuma Koizumi:
Mask scalar prediction for improving robust automatic speech recognition. CoRR abs/2204.12092 (2022) - [i29]Kota Dohi, Keisuke Imoto, Noboru Harada, Daisuke Niizumi, Yuma Koizumi, Tomoya Nishida, Harsh Purohit, Takashi Endo, Masaaki Yamamoto, Yohei Kawaguchi:
Description and Discussion on DCASE 2022 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Applying Domain Generalization Techniques. CoRR abs/2206.05876 (2022) - [i28]Yuma Koizumi, Kohei Yatabe, Heiga Zen, Michiel Bacchiani:
WaveFit: An Iterative and Non-autoregressive Neural Vocoder based on Fixed-Point Iteration. CoRR abs/2210.01029 (2022) - 2021
- [j4]Yoshiki Masuyama, Kohei Yatabe, Yuma Koizumi, Yasuhiro Oikawa, Noboru Harada:
Deep Griffin-Lim Iteration: Trainable Iterative Phase Reconstruction Using Neural Network. IEEE J. Sel. Top. Signal Process. 15(1): 37-50 (2021) - [c42]Yohei Kawaguchi, Keisuke Imoto, Yuma Koizumi, Noboru Harada, Daisuke Niizumi, Kota Dohi, Ryo Tanabe, Harsh Purohit, Takashi Endo:
Description and Discussion on DCASE 2021 Challenge Task 2: Unsupervised Anomalous Detection for Machine Condition Monitoring Under Domain Shifted Conditions. DCASE 2021: 186-190 - [c41]Koichi Saito, Tomohiko Nakamura, Kohei Yatabe, Yuma Koizumi, Hiroshi Saruwatari:
Sampling-Frequency-Independent Audio Source Separation Using Convolution Layer Based on Impulse Invariant Method. EUSIPCO 2021: 321-325 - [c40]Takuya Fujimura, Yuma Koizumi, Kohei Yatabe, Ryoichi Miyazaki:
Noisy-target Training: A Training Strategy for DNN-based Speech Enhancement without Clean Speech. EUSIPCO 2021: 436-440 - [c39]Yuma Koizumi, Shigeki Karita, Scott Wisdom, Hakan Erdogan, John R. Hershey, Llion Jones, Michiel Bacchiani:
DF-Conformer: Integrated Architecture of Conv-Tasnet and Conformer Using Linear Complexity Self-Attention for Speech Enhancement. WASPAA 2021: 161-165 - [i27]Koichi Saito, Tomohiko Nakamura, Kohei Yatabe, Yuma Koizumi, Hiroshi Saruwatari:
Sampling-Frequency-Independent Audio Source Separation Using Convolution Layer Based on Impulse Invariant Method. CoRR abs/2105.04079 (2021) - [i26]Yohei Kawaguchi, Keisuke Imoto, Yuma Koizumi, Noboru Harada, Daisuke Niizumi, Kota Dohi, Ryo Tanabe, Harsh Purohit, Takashi Endo:
Description and Discussion on DCASE 2021 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring under Domain Shifted Conditions. CoRR abs/2106.04492 (2021) - [i25]Yuma Koizumi, Shigeki Karita, Scott Wisdom, Hakan Erdogan, John R. Hershey, Llion Jones, Michiel Bacchiani:
DF-Conformer: Integrated architecture of Conv-TasNet and Conformer using linear complexity self-attention for speech enhancement. CoRR abs/2106.15813 (2021) - [i24]Yuma Koizumi, Shigeki Karita, Arun Narayanan, Sankaran Panchapagesan, Michiel Bacchiani:
SNRi Target Training for Joint Speech Enhancement and Recognition. CoRR abs/2111.00764 (2021) - 2020
- [c38]Yuma Koizumi, Yohei Kawaguchi, Keisuke Imoto, Toshiki Nakamura, Yuki Nikaido, Ryo Tanabe, Harsh Purohit, Kaori Suefusa, Takashi Endo, Masahiro Yasuda, Noboru Harada:
Description and Discussion on DCASE2020 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring. DCASE 2020: 81-85 - [c37]Daiki Takeuchi, Yuma Koizumi, Yasunori Ohishi, Noboru Harada, Kunio Kashino:
Effects of Word-Frequency Based Pre- and Post- Processings for Audio Captioning. DCASE 2020: 190-194 - [c36]Yuma Koizumi, Kohei Yatabe, Marc Delcroix, Yoshiki Masuyama, Daiki Takeuchi:
Speech Enhancement Using Self-Adaptation and Multi-Head Self-Attention. ICASSP 2020: 181-185 - [c35]Yuma Koizumi, Masahiro Yasuda, Shin Murata, Shoichiro Saito, Hisashi Uematsu, Noboru Harada:
SPIDERnet: Attention Network For One-Shot Anomaly Detection In Sounds. ICASSP 2020: 281-285 - [c34]Keisuke Imoto, Noriyuki Tonami, Yuma Koizumi, Masahiro Yasuda, Ryosuke Yamanishi, Yoichi Yamashita:
Sound Event Detection by Multitask Learning of Sound Events and Scenes with Soft Scene Labels. ICASSP 2020: 621-625 - [c33]Masahiro Yasuda, Yuma Koizumi, Shoichiro Saito, Hisashi Uematsu, Keisuke Imoto:
Sound Event Localization Based on Sound Intensity Vector Refined by Dnn-Based Denoising and Source Separation. ICASSP 2020: 651-655 - [c32]Yoshiki Masuyama, Kohei Yatabe, Yuma Koizumi, Yasuhiro Oikawa, Noboru Harada:
Phase Reconstruction Based On Recurrent Phase Unwrapping With Deep Neural Networks. ICASSP 2020: 826-830 - [c31]Daiki Takeuchi, Kohei Yatabe, Yuma Koizumi, Yasuhiro Oikawa, Noboru Harada:
Real-Time Speech Enhancement Using Equilibriated RNN. ICASSP 2020: 851-855 - [c30]Daiki Takeuchi, Kohei Yatabe, Yuma Koizumi, Yasuhiro Oikawa, Noboru Harada:
Invertible DNN-Based Nonlinear Time-Frequency Transform for Speech Enhancement. ICASSP 2020: 6644-6648 - [c29]Masaki Kawanaka, Yuma Koizumi, Ryoichi Miyazaki, Kohei Yatabe:
Stable Training of Dnn for Speech Enhancement Based on Perceptually-Motivated Black-Box Cost Function. ICASSP 2020: 7524-7528 - [c28]Tsubasa Ochiai, Marc Delcroix, Yuma Koizumi, Hiroaki Ito, Keisuke Kinoshita, Shoko Araki:
Listen to What You Want: Neural Network-Based Universal Sound Selector. INTERSPEECH 2020: 1441-1445 - [c27]Masahiro Yasuda, Yasunori Ohishi, Yuma Koizumi, Noboru Harada:
Crossmodal Sound Retrieval Based on Specific Target Co-Occurrence Denoted with Weak Labels. INTERSPEECH 2020: 1446-1450 - [c26]Yuma Koizumi, Ryo Masumura, Kyosuke Nishida, Masahiro Yasuda, Shoichiro Saito:
A Transformer-Based Audio Captioning Model with Keyword Estimation. INTERSPEECH 2020: 1977-1981 - [e1]Nobutaka Ono, Noboru Harada, Yohei Kawaguchi, Annamaria Mesaros, Keisuke Imoto, Yuma Koizumi, Tatsuya Komatsu:
Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), Tokyo, Japan (full virtual), November 2-4, 2020. 2020, ISBN 978-4-600-00566-5 [contents] - [i23]Yoshiki Masuyama, Kohei Yatabe, Yuma Koizumi, Yasuhiro Oikawa, Noboru Harada:
Phase reconstruction based on recurrent phase unwrapping with deep neural networks. CoRR abs/2002.05832 (2020) - [i22]Daiki Takeuchi, Kohei Yatabe, Yuma Koizumi, Yasuhiro Oikawa, Noboru Harada:
Real-time speech enhancement using equilibriated RNN. CoRR abs/2002.05843 (2020) - [i21]Keisuke Imoto, Noriyuki Tonami, Yuma Koizumi, Masahiro Yasuda, Ryosuke Yamanishi, Yoichi Yamashita:
Sound Event Detection by Multitask Learning of Sound Events and Scenes with Soft Scene Labels. CoRR abs/2002.05848 (2020) - [i20]Yuma Koizumi, Kohei Yatabe, Marc Delcroix, Yoshiki Masuyama, Daiki Takeuchi:
Speech Enhancement using Self-Adaptation and Multi-Head Self-Attention. CoRR abs/2002.05873 (2020) - [i19]Masaki Kawanaka, Yuma Koizumi, Ryoichi Miyazaki, Kohei Yatabe:
Stable Training of DNN for Speech Enhancement based on Perceptually-Motivated Black-Box Cost Function. CoRR abs/2002.05879 (2020) - [i18]Masahiro Yasuda, Yuma Koizumi, Shoichiro Saito, Hisashi Uematsu, Keisuke Imoto:
Sound Event Localization based on Sound Intensity Vector Refined By DNN-Based Denoising and Source Separation. CoRR abs/2002.05994 (2020) - [i17]Tsubasa Ochiai, Marc Delcroix, Yuma Koizumi, Hiroaki Ito, Keisuke Kinoshita, Shoko Araki:
Listen to What You Want: Neural Network-based Universal Sound Selector. CoRR abs/2006.05712 (2020) - [i16]Yuma Koizumi, Yohei Kawaguchi, Keisuke Imoto, Toshiki Nakamura, Yuki Nikaido, Ryo Tanabe, Harsh Purohit, Kaori Suefusa, Takashi Endo, Masahiro Yasuda, Noboru Harada:
Description and Discussion on DCASE2020 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring. CoRR abs/2006.05822 (2020) - [i15]Yuma Koizumi, Ryo Masumura, Kyosuke Nishida, Masahiro Yasuda, Shoichiro Saito:
A Transformer-based Audio Captioning Model with Keyword Estimation. CoRR abs/2007.00222 (2020) - [i14]Yuma Koizumi, Daiki Takeuchi, Yasunori Ohishi, Noboru Harada, Kunio Kashino:
The NTT DCASE2020 Challenge Task 6 system: Automated Audio Captioning with Keywords and Sentence Length Estimation. CoRR abs/2007.00225 (2020) - [i13]Daiki Takeuchi, Yuma Koizumi, Yasunori Ohishi, Noboru Harada, Kunio Kashino:
Effects of Word-frequency based Pre- and Post- Processings for Audio Captioning. CoRR abs/2009.11436 (2020) - [i12]Yuma Koizumi, Yasunori Ohishi, Daisuke Niizumi, Daiki Takeuchi, Masahiro Yasuda:
Audio Captioning using Pre-Trained Large-Scale Language Model Guided by Audio-based Similar Caption Retrieval. CoRR abs/2012.07331 (2020)
2010 – 2019
- 2019
- [j3]Yuma Koizumi, Shoichiro Saito, Hisashi Uematsu, Yuta Kawachi, Noboru Harada:
Unsupervised Detection of Anomalous Sound Based on Deep Learning and the Neyman-Pearson Lemma. IEEE ACM Trans. Audio Speech Lang. Process. 27(1): 212-224 (2019) - [c25]Luca Mazzon, Yuma Koizumi, Masahiro Yasuda, Noboru Harada:
First Order Ambisonics Domain Spatial Augmentation for DNN-based Direction of Arrival Estimation. DCASE 2019: 154-158 - [c24]Ryo Masumura, Kiyoaki Matsui, Yuma Koizumi, Takaaki Fukutomi, Takanobu Oba, Yushi Aono:
Context-Aware Neural Voice Activity Detection Using Auxiliary Networks for Phoneme Recognition, Speech Enhancement and Acoustic Scene Classification. EUSIPCO 2019: 1-5 - [c23]Yoshiki Masuyama, Kohei Yatabe, Yuma Koizumi, Yasuhiro Oikawa, Noboru Harada:
Deep Griffin-Lim Iteration. ICASSP 2019: 61-65 - [c22]Daiki Takeuchi, Kohei Yatabe, Yuma Koizumi, Yasuhiro Oikawa, Noboru Harada:
Data-driven Design of Perfect Reconstruction Filterbank for DNN-based Sound Source Enhancement. ICASSP 2019: 596-600 - [c21]Yuma Koizumi, Noboru Harada, Yoichi Haneda:
Trainable Adaptive Window Switching for Speech Enhancement. ICASSP 2019: 616-620 - [c20]Yuma Koizumi, Shin Murata, Noboru Harada, Shoichiro Saito, Hisashi Uematsu:
SNIPER: Few-shot Learning for Anomaly Detection to Minimize False-negative Rate with Ensured True-positive Rate. ICASSP 2019: 915-919 - [c19]Yuta Kawachi, Yuma Koizumi, Shin Murata, Noboru Harada:
A Two-class Hyper-spherical Autoencoder for Supervised Anomaly Detection. ICASSP 2019: 3047-3051 - [c18]Masataka Yamaguchi, Yuma Koizumi, Noboru Harada:
AdaFlow: Domain-adaptive Density Estimator with Application to Anomaly Detection and Unpaired Cross-domain Translation. ICASSP 2019: 3647-3651 - [c17]Shin Murata, Yuma Koizumi, Noboru Harada:
Finding Low-Dimensional Dynamical Structure Through Variational Auto-Encoding Dynamic Mode Decomposition. MLSP 2019: 1-6 - [c16]Yuma Koizumi, Shoichiro Saito, Masataka Yamaguchi, Shin Murata, Noboru Harada:
Batch Uniformization for Minimizing Maximum Anomaly Score of Dnn-Based Anomaly Detection in Sounds. WASPAA 2019: 6-10 - [c15]Yuma Koizumi, Shoichiro Saito, Hisashi Uematsu, Noboru Harada, Keisuke Imoto:
ToyADMOS: A Dataset of Miniature-Machine Operating Sounds for Anomalous Sound Detection. WASPAA 2019: 313-317 - [i11]Yoshiki Masuyama, Kohei Yatabe, Yuma Koizumi, Yasuhiro Oikawa, Noboru Harada:
Deep Griffin-Lim Iteration. CoRR abs/1903.03971 (2019) - [i10]Daiki Takeuchi, Kohei Yatabe, Yuma Koizumi, Yasuhiro Oikawa, Noboru Harada:
Data-driven design of perfect reconstruction filterbank for DNN-based sound source enhancement. CoRR abs/1903.08876 (2019) - [i9]Yuma Koizumi, Shoichiro Saito, Masataka Yamaguchi, Shin Murata, Noboru Harada:
Batch Uniformization for Minimizing Maximum Anomaly Score of DNN-based Anomaly Detection in Sounds. CoRR abs/1907.08338 (2019) - [i8]Yuma Koizumi, Shoichiro Saito, Hisashi Uematsu, Noboru Harada, Keisuke Imoto:
ToyADMOS: A Dataset of Miniature-Machine Operating Sounds for Anomalous Sound Detection. CoRR abs/1908.03299 (2019) - [i7]Luca Mazzon, Yuma Koizumi, Masahiro Yasuda, Noboru Harada:
First Order Ambisonics Domain Spatial Augmentation for DNN-based Direction of Arrival Estimation. CoRR abs/1910.04388 (2019) - [i6]Masahiro Yasuda, Yuma Koizumi, Luca Mazzon, Shoichiro Saito, Hisashi Uematsu:
DOA Estimation by DNN-based Denoising and Dereverberation from Sound Intensity Vector. CoRR abs/1910.04415 (2019) - [i5]Daiki Takeuchi, Kohei Yatabe, Yuma Koizumi, Yasuhiro Oikawa, Noboru Harada:
Invertible DNN-based nonlinear time-frequency transform for speech enhancement. CoRR abs/1911.10764 (2019) - 2018
- [j2]Yuma Koizumi, Kenta Niwa, Yusuke Hioka, Kazunori Kobayashi, Yoichi Haneda:
DNN-Based Source Enhancement to Increase Objective Sound Quality Assessment Score. IEEE ACM Trans. Audio Speech Lang. Process. 26(10): 1780-1792 (2018) - [c14]Yuma Koizumi, Shoichiro Saito, Suehiro Shimauchi, Kazunori Kobayashi, Noboru Harada:
Distant Noise Reduction Based on Multi-delay Noise Model Using Distributed Microphone Array. EUSIPCO 2018: 1-5 - [c13]Yuma Koizumi, Noboru Harada, Yoichi Haneda, Yusuke Hioka, Kazunori Kobayashi:
End-to-End Sound Source Enhancement Using Deep Neural Network in the Modified Discrete Cosine Transform Domain. ICASSP 2018: 706-710 - [c12]Yuta Kawachi, Yuma Koizumi, Noboru Harada:
Complementary Set Variational Autoencoder for Supervised Anomaly Detection. ICASSP 2018: 2366-2370 - [c11]Sota Nishiguchi, Yuma Koizumi, Noboru Harada, Katunobu Itou:
DNN-Based Near- and Far-Field Source Separation Using Spherical-Harmonic-Analysis-Based Acoustic Features. IWAENC 2018: 510-514 - [i4]Yuma Koizumi, Shoichiro Saito, Hisashi Uematsu, Yuta Kawachi, Noboru Harada:
Unsupervised Detection of Anomalous Sound based on Deep Learning and the Neyman-Pearson Lemma. CoRR abs/1810.09133 (2018) - [i3]Yuma Koizumi, Kenta Niwa, Yusuke Hioka, Kazunori Kobayashi, Yoichi Haneda:
DNN-based Source Enhancement to Increase Objective Sound Quality Assessment Score. CoRR abs/1810.09137 (2018) - [i2]Yuma Koizumi, Noboru Harada, Yoichi Haneda:
Trainable Adaptive Window Switching for Speech Enhancement. CoRR abs/1811.02438 (2018) - [i1]Masataka Yamaguchi, Yuma Koizumi, Noboru Harada:
AdaFlow: Domain-Adaptive Density Estimator with Application to Anomaly Detection and Unpaired Cross-Domain Translation. CoRR abs/1812.05796 (2018) - 2017
- [j1]Yuma Koizumi, Kenta Niwa, Yusuke Hioka, Kazunori Kobayashi, Hitoshi Ohmuro:
Informative Acoustic Feature Selection to Maximize Mutual Information for Collecting Target Sources. IEEE ACM Trans. Audio Speech Lang. Process. 25(4): 768-779 (2017) - [c10]Yuma Koizumi, Shoichiro Saito, Hisashi Uematsu, Noboru Harada:
Optimizing acoustic feature extractor for anomalous sound detection based on Neyman-Pearson lemma. EUSIPCO 2017: 698-702 - [c9]Yuma Koizumi, Kenta Niwa, Yusuke Hioka, Kazunori Kobayashi, Yoichi Haneda:
DNN-based source enhancement self-optimized by reinforcement learning using sound quality measurements. ICASSP 2017: 81-85 - [c8]Kenta Niwa, Yuma Koizumi, Tomoko Kawase, Kazunori Kobayashi, Yusuke Hioka:
Supervised source enhancement composed of nonnegative auto-encoders and complementarity subtraction. ICASSP 2017: 266-270 - [c7]Suehiro Shimauchi, Shinya Kudo, Yuma Koizumi, Ken'ichi Furuya:
On relationships between amplitude and phase of short-time Fourier transform. ICASSP 2017: 676-680 - 2016
- [c6]Yuma Koizumi, Kenta Niwa, Yusuke Hioka, Kazunori Kobayashi, Hitoshi Ohmuro:
Integrated approach of feature extraction and sound source enhancement based on maximization of mutual information. ICASSP 2016: 186-190 - [c5]Kenta Niwa, Yuma Koizumi, Tomoko Kawase, Kazunori Kobayashi, Yusuke Hioka:
Pinpoint extraction of distant sound source based on DNN mapping from multiple beamforming outputs to prior SNR. ICASSP 2016: 435-439 - [c4]Kenta Niwa, Yuma Koizumi, Kazunori Kobayashi, Hisashi Uematsu:
Binaural sound generation corresponding to omnidirectional video view using angular region-wise source enhancement. ICASSP 2016: 2852-2856 - 2015
- [c3]Yuma Koizumi, Yuki Ijichi, Hisaya Tanaka, Ayumi Otera, Kayoko Takahashi, Michinari Fukuda, Noriyoshi Asai:
Effective approach to character input for novice BCI users. APSITT 2015: 1-3 - [c2]Yuma Koizumi, Kenta Niwa, Yusuke Hioka, Kazunori Kobayashi, Hitoshi Ohmuro:
Informative acoustic feature selection on microphone array wiener filtering for collecting target source on sports ground. WASPAA 2015: 1-5 - 2014
- [c1]Yuma Koizumi, Katunobu Itou:
Intra-note segmentation via sticky HMM with DP emission. ICASSP 2014: 2144-2148
Coauthor Index
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