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ORCIDNaohiro Tawara
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2020 – today
- 2024
[c34]Naohiro Tawara, Marc Delcroix, Atsushi Ando, Atsunori Ogawa:
NTT Speaker Diarization System for Chime-7: Multi-Domain, Multi-Microphone end-to-end and Vector Clustering Diarization. ICASSP 2024: 11281-11285- [c33]Dominik Klement, Mireia Díez, Federico Landini, Lukás Burget, Anna Silnova, Marc Delcroix, Naohiro Tawara:
Discriminative Training of VBx Diarization. ICASSP 2024: 11871-11875 - [c32]Carlos Hernandez-Olivan, Marc Delcroix, Tsubasa Ochiai, Naohiro Tawara, Tomohiro Nakatani, Shoko Araki:
Interaural Time Difference Loss for Binaural Target Sound Extraction. IWAENC 2024: 210-214 - [i15]Atsunori Ogawa, Naoyuki Kamo, Kohei Matsuura, Takanori Ashihara, Takafumi Moriya, Takatomo Kano, Naohiro Tawara, Marc Delcroix:
Applying LLMs for Rescoring N-best ASR Hypotheses of Casual Conversations: Effects of Domain Adaptation and Context Carry-over. CoRR abs/2406.18972 (2024) - [i14]Carlos Hernandez-Olivan, Marc Delcroix, Tsubasa Ochiai, Naohiro Tawara, Tomohiro Nakatani, Shoko Araki:
Interaural time difference loss for binaural target sound extraction. CoRR abs/2408.00344 (2024) - [i13]Shota Horiguchi, Atsushi Ando, Takafumi Moriya, Takanori Ashihara, Hiroshi Sato, Naohiro Tawara, Marc Delcroix:
Recursive Attentive Pooling for Extracting Speaker Embeddings from Multi-Speaker Recordings. CoRR abs/2408.17142 (2024) - [i12]Carlos Hernandez-Olivan, Marc Delcroix, Tsubasa Ochiai, Daisuke Niizumi, Naohiro Tawara, Tomohiro Nakatani, Shoko Araki:
SoundBeam meets M2D: Target Sound Extraction with Audio Foundation Model. CoRR abs/2409.12528 (2024) - [i11]Alexis Plaquet, Naohiro Tawara, Marc Delcroix, Shota Horiguchi, Atsushi Ando, Shoko Araki:
Mamba-based Segmentation Model for Speaker Diarization. CoRR abs/2410.06459 (2024) - [i10]Shota Horiguchi, Takafumi Moriya, Atsushi Ando, Takanori Ashihara, Hiroshi Sato, Naohiro Tawara, Marc Delcroix:
Guided Speaker Embedding. CoRR abs/2410.12182 (2024) - 2023
- [c31]Yuki Kitagishi
, Hosana Kamiyama, Naohiro Tawara, Atsunori Ogawa, Noboru Miyazaki, Taichi Asami:
Coarse-Age Loss: A New Training Method Using Coarse-Age Labeled Data for Speaker Age Estimation. APSIPA ASC 2023: 2213-2220 - [c30]Yuta Ide, Naohiro Tawara, Susumu Saito, Teppei Nakano, Tetsuji Ogawa:
Voice or Content? - Exploring Impact of Speech Content on Age Estimation from Voice. EUSIPCO 2023: 221-225 - [c29]Atsunori Ogawa, Takafumi Moriya, Naoyuki Kamo, Naohiro Tawara, Marc Delcroix:
Iterative Shallow Fusion of Backward Language Model for End-To-End Speech Recognition. ICASSP 2023: 1-5 - [c28]Yuki Kitagishi, Naohiro Tawara, Atsunori Ogawa, Ryo Masumura, Taichi Asami:
What are differences? Comparing DNN and Human by Their Performance and Characteristics in Speaker Age Estimation. INTERSPEECH 2023: 1873-1877 - [c27]Marc Delcroix, Naohiro Tawara, Mireia Díez, Federico Landini, Anna Silnova, Atsunori Ogawa, Tomohiro Nakatani, Lukás Burget, Shoko Araki:
Multi-Stream Extension of Variational Bayesian HMM Clustering (MS-VBx) for Combined End-to-End and Vector Clustering-based Diarization. INTERSPEECH 2023: 3477-3481 - [c26]Hikaru Yanagida, Yusuke Ijima, Naohiro Tawara:
Influence of Personal Traits on Impressions of One's Own Voice. INTERSPEECH 2023: 5212-5216 - [i9]Marc Delcroix, Naohiro Tawara, Mireia Díez, Federico Landini, Anna Silnova, Atsunori Ogawa, Tomohiro Nakatani, Lukás Burget, Shoko Araki:
Multi-Stream Extension of Variational Bayesian HMM Clustering (MS-VBx) for Combined End-to-End and Vector Clustering-based Diarization. CoRR abs/2305.13580 (2023) - [i8]Naohiro Tawara, Marc Delcroix, Atsushi Ando, Atsunori Ogawa:
NTT speaker diarization system for CHiME-7: multi-domain, multi-microphone End-to-end and vector clustering diarization. CoRR abs/2309.12656 (2023) - [i7]Dominik Klement, Mireia Díez, Federico Landini, Lukás Burget, Anna Silnova, Marc Delcroix, Naohiro Tawara:
Discriminative Training of VBx Diarization. CoRR abs/2310.02732 (2023) - [i6]Atsunori Ogawa, Takafumi Moriya, Naoyuki Kamo, Naohiro Tawara, Marc Delcroix:
Iterative Shallow Fusion of Backward Language Model for End-to-End Speech Recognition. CoRR abs/2310.11010 (2023) - [i5]Atsunori Ogawa, Naohiro Tawara, Marc Delcroix, Shoko Araki:
Lattice Rescoring Based on Large Ensemble of Complementary Neural Language Models. CoRR abs/2312.12764 (2023) - [i4]Atsunori Ogawa, Naohiro Tawara, Takatomo Kano, Marc Delcroix:
BLSTM-Based Confidence Estimation for End-to-End Speech Recognition. CoRR abs/2312.14609 (2023) - 2022
- [j1]Naohiro Tawara, Atsunori Ogawa, Tomoharu Iwata, Hiroto Ashikawa, Tetsunori Kobayashi, Tetsuji Ogawa:
Multi-Source Domain Generalization Using Domain Attributes for Recurrent Neural Network Language Models. IEICE Trans. Inf. Syst. 105-D(1): 150-160 (2022) - [c25]Atsunori Ogawa, Naohiro Tawara, Marc Delcroix, Shoko Araki:
Lattice Rescoring Based on Large Ensemble of Complementary Neural Language Models. ICASSP 2022: 6517-6521 - 2021
- [c24]Naohiro Tawara, Atsunori Ogawa, Yuki Kitagishi, Hosana Kamiyama, Yusuke Ijima:
Robust Speech-Age Estimation Using Local Maximum Mean Discrepancy Under Mismatched Recording Conditions. ASRU 2021: 114-121 - [c23]Atsunori Ogawa, Naohiro Tawara, Takatomo Kano, Marc Delcroix:
BLSTM-Based Confidence Estimation for End-to-End Speech Recognition. ICASSP 2021: 6383-6387 - [c22]Naohiro Tawara, Atsunori Ogawa, Yuki Kitagishi, Hosana Kamiyama:
Age-VOX-Celeb: Multi-Modal Corpus for Facial and Speech Estimation. ICASSP 2021: 6963-6967 - [c21]Keisuke Kinoshita, Marc Delcroix, Naohiro Tawara:
Integrating End-to-End Neural and Clustering-Based Diarization: Getting the Best of Both Worlds. ICASSP 2021: 7198-7202 - [c20]Keisuke Kinoshita, Marc Delcroix, Naohiro Tawara:
Advances in Integration of End-to-End Neural and Clustering-Based Diarization for Real Conversational Speech. Interspeech 2021: 3565-3569 - [i3]Keisuke Kinoshita, Marc Delcroix, Naohiro Tawara:
Advances in integration of end-to-end neural and clustering-based diarization for real conversational speech. CoRR abs/2105.09040 (2021) - 2020
- [c19]Yuki Kitagishi, Hosana Kamiyama, Atsushi Ando, Naohiro Tawara, Takeshi Mori, Satoshi Kobashikawa:
Speaker Age Estimation Using Age-Dependent Insensitive Loss. APSIPA 2020: 319-324 - [c18]Yosuke Higuchi, Naohiro Tawara, Atsunori Ogawa, Tomoharu Iwata, Tetsunori Kobayashi, Tetsuji Ogawa:
Noise-robust Attention Learning for End-to-End Speech Recognition. EUSIPCO 2020: 311-315 - [c17]Marc Delcroix, Tsubasa Ochiai, Katerina Zmolíková, Keisuke Kinoshita, Naohiro Tawara, Tomohiro Nakatani, Shoko Araki:
Improving Speaker Discrimination of Target Speech Extraction With Time-Domain Speakerbeam. ICASSP 2020: 691-695 - [c16]Naohiro Tawara, Hosana Kamiyama, Satoshi Kobashikawa, Atsunori Ogawa:
Improving Speaker-Attribute Estimation by Voting Based on Speaker Cluster Information. ICASSP 2020: 6594-6598 - [c15]Naohiro Tawara, Atsunori Ogawa, Tomoharu Iwata, Marc Delcroix, Tetsuji Ogawa:
Frame-Level Phoneme-Invariant Speaker Embedding for Text-Independent Speaker Recognition on Extremely Short Utterances. ICASSP 2020: 6799-6803 - [c14]Atsunori Ogawa, Naohiro Tawara, Marc Delcroix:
Language Model Data Augmentation Based on Text Domain Transfer. INTERSPEECH 2020: 4926-4930 - [i2]Marc Delcroix, Tsubasa Ochiai, Katerina Zmolíková, Keisuke Kinoshita, Naohiro Tawara, Tomohiro Nakatani, Shoko Araki:
Improving speaker discrimination of target speech extraction with time-domain SpeakerBeam. CoRR abs/2001.08378 (2020) - [i1]Keisuke Kinoshita, Marc Delcroix, Naohiro Tawara:
Integrating end-to-end neural and clustering-based diarization: Getting the best of both worlds. CoRR abs/2010.13366 (2020)
2010 – 2019
- 2019
- [c13]Naohiro Tawara, Hikari Tanabe, Tetsunori Kobayashi, Masaru Fujieda, Kazuhiro Katagiri, Takashi Yazu, Tetsuji Ogawa:
Postfiltering Using an Adversarial Denoising Autoencoder with Noise-aware Training. ICASSP 2019: 3282-3286 - [c12]Naohiro Tawara, Tetsunori Kobayashi, Tetsuji Ogawa:
Multi-Channel Speech Enhancement Using Time-Domain Convolutional Denoising Autoencoder. INTERSPEECH 2019: 86-90 - [c11]Yosuke Higuchi, Naohiro Tawara, Tetsunori Kobayashi, Tetsuji Ogawa:
Speaker Adversarial Training of DPGMM-Based Feature Extractor for Zero-Resource Languages. INTERSPEECH 2019: 266-270 - 2018
- [c10]Naohiro Tawara, Tetsunori Kobayashi, Masaru Fujieda, Kazuhiro Katagiri, Takashi Yazu, Tetsuji Ogawa:
Adversarial autoencoder for reducing nonlinear distortion. APSIPA 2018: 1669-1673 - [c9]Taira Tsuchiya, Naohiro Tawara, Tetsuji Ogawa, Tetsunori Kobayashi:
Speaker Invariant Feature Extraction for Zero-Resource Languages with Adversarial Learning. ICASSP 2018: 2381-2385 - [c8]Tsuyoshi Morioka, Naohiro Tawara, Tetsuji Ogawa, Atsunori Ogawa, Tomoharu Iwata, Tetsunori Kobayashi:
Language Model Domain Adaptation Via Recurrent Neural Networks with Domain-Shared and Domain-Specific Representations. ICASSP 2018: 6084-6088 - [c7]Yuya Kokaki, Naohiro Tawara, Tetsunori Kobayashi, Kazuo Hashimoto, Tetsuji Ogawa:
Sequential Fish Catch Forecasting Using Bayesian State Space Models. ICPR 2018: 776-781 - 2017
- [c6]Hiroto Ashikawa, Naohiro Tawara, Atsunori Ogawa, Tomoharu Iwata, Tetsunori Kobayashi, Tetsuji Ogawa:
Exploiting end of sentences and speaker alternations in language modeling for multiparty conversations. APSIPA 2017: 1263-1267 - 2015
- [c5]Naohiro Tawara, Tetsuji Ogawa, Tetsunori Kobayashi:
A comparative study of spectral clustering for i-vector-based speaker clustering under noisy conditions. ICASSP 2015: 2041-2045 - 2013
- [c4]Naohiro Tawara, Tetsuji Ogawa, Shinji Watanabe, Atsushi Nakamura, Tetsunori Kobayashi:
Blocked Gibbs sampling based multi-scale mixture model for speaker clustering on noisy data. MLSP 2013: 1-6 - 2012
- [c3]Naohiro Tawara, Tetsuji Ogawa, Shinji Watanabe, Tetsunori Kobayashi:
Fully Bayesian inference of multi-mixture Gaussian model and its evaluation using speaker clustering. ICASSP 2012: 5253-5256 - [c2]Naohiro Tawara, Tetsuji Ogawa, Shinji Watanabe, Atsushi Nakamura, Tetsunori Kobayashi:
Fully Bayesian speaker clustering based on hierarchically structured utterance-oriented Dirichlet process mixture model. INTERSPEECH 2012: 2166-2169 - 2011
- [c1]Naohiro Tawara, Shinji Watanabe, Tetsuji Ogawa, Tetsunori Kobayashi:
Speaker Clustering Based on Utterance-Oriented Dirichlet Process Mixture Model. INTERSPEECH 2011: 2905-2908
Coauthor Index
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