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2020 – today
- 2024
[c28]Takuya Higuchi, Avamarie Brueggeman, Masood Delfarah, Stephen Shum:
Multichannel Voice Trigger Detection Based on Transform-Average-Concatenate. ICASSP Workshops 2024: 510-514- [i12]Jee-weon Jung, Wangyou Zhang, Jiatong Shi, Zakaria Aldeneh, Takuya Higuchi, Barry-John Theobald, Ahmed Hussen Abdelaziz, Shinji Watanabe:
ESPnet-SPK: full pipeline speaker embedding toolkit with reproducible recipes, self-supervised front-ends, and off-the-shelf models. CoRR abs/2401.17230 (2024) - [i11]Zakaria Aldeneh, Takuya Higuchi, Jee-weon Jung, Skyler Seto, Tatiana Likhomanenko, Stephen Shum, Ahmed Hussen Abdelaziz, Shinji Watanabe, Barry-John Theobald:
Can you Remove the Downstream Model for Speaker Recognition with Self-Supervised Speech Features? CoRR abs/2402.00340 (2024) - [i10]Krishna Subramani, Paris Smaragdis, Takuya Higuchi, Mehrez Souden:
Rethinking Non-Negative Matrix Factorization with Implicit Neural Representations. CoRR abs/2404.04439 (2024) - [i9]Zakaria Aldeneh, Vimal Thilak, Takuya Higuchi, Barry-John Theobald, Tatiana Likhomanenko:
Towards Automatic Assessment of Self-Supervised Speech Models using Rank. CoRR abs/2409.10787 (2024) - [i8]Li-Wei Chen, Takuya Higuchi, He Bai, Ahmed Hussen Abdelaziz, Alexander Rudnicky, Shinji Watanabe, Tatiana Likhomanenko, Barry-John Theobald, Zakaria Aldeneh:
Exploring Prediction Targets in Masked Pre-Training for Speech Foundation Models. CoRR abs/2409.10788 (2024) - [i7]Zakaria Aldeneh, Takuya Higuchi, Jee-weon Jung, Li-Wei Chen, Stephen Shum, Ahmed Hussen Abdelaziz, Shinji Watanabe, Tatiana Likhomanenko, Barry-John Theobald:
Speaker-IPL: Unsupervised Learning of Speaker Characteristics with i-Vector based Pseudo-Labels. CoRR abs/2409.10791 (2024) - 2023
- [i6]Takuya Higuchi, Avamarie Brueggeman, Masood Delfarah, Stephen Shum:
Multichannel Voice Trigger Detection Based on Transform-average-concatenate. CoRR abs/2309.16036 (2023) - [i5]Avamarie Brueggeman, Takuya Higuchi, Masood Delfarah, Stephen Shum, Vineet Garg:
Does Single-channel Speech Enhancement Improve Keyword Spotting Accuracy? A Case Study. CoRR abs/2309.16060 (2023) - 2022
- [c27]Prateeth Nayak, Takuya Higuchi, Anmol Gupta, Shivesh Ranjan, Stephen Shum, Siddharth Sigtia, Erik Marchi, Varun Lakshminarasimhan, Minsik Cho, Saurabh Adya, Chandra Dhir, Ahmed H. Tewfik:
Improving Voice Trigger Detection with Metric Learning. INTERSPEECH 2022: 1896-1900 - [i4]Prateeth Nayak, Takuya Higuchi, Anmol Gupta, Shivesh Ranjan, Stephen Shum, Siddharth Sigtia, Erik Marchi, Varun Lakshminarasimhan, Minsik Cho, Saurabh Adya, Chandra Dhir, Ahmed H. Tewfik:
Improving Voice Trigger Detection with Metric Learning. CoRR abs/2204.02455 (2022) - 2021
- [c26]Takuya Higuchi, Anmol Gupta, Chandra Dhir:
Multi-Task Learning with Cross Attention for Keyword Spotting. ASRU 2021: 571-578 - [c25]Takuya Higuchi, Shreyas Saxena, Mehrez Souden, Tien Dung Tran, Masood Delfarah, Chandra Dhir:
Dynamic Curriculum Learning via Data Parameters for Noise Robust Keyword Spotting. ICASSP 2021: 6848-6852 - [i3]Takuya Higuchi, Shreyas Saxena, Mehrez Souden, Tien Dung Tran, Masood Delfarah, Chandra Dhir:
Dynamic curriculum learning via data parameters for noise robust keyword spotting. CoRR abs/2102.09666 (2021) - [i2]Takuya Higuchi, Anmol Gupta, Chandra Dhir:
Multi-task Learning with Cross Attention for Keyword Spotting. CoRR abs/2107.07634 (2021) - 2020
- [c24]Takuya Higuchi, Mohammad Ghasemzadeh, Kisun You, Chandra Dhir:
Stacked 1D Convolutional Networks for End-to-End Small Footprint Voice Trigger Detection. INTERSPEECH 2020: 2592-2596 - [i1]Takuya Higuchi, Mohammad Ghasemzadeh, Kisun You, Chandra Dhir:
Stacked 1D convolutional networks for end-to-end small footprint voice trigger detection. CoRR abs/2008.03405 (2020)
2010 – 2019
- 2018
- [j2]Hirokazu Kameoka
, Takuya Higuchi, Mikihiro Tanaka, Li Li:
Nonnegative Matrix Factorization With Basis Clustering Using Cepstral Distance Regularization. IEEE ACM Trans. Audio Speech Lang. Process. 26(6): 1025-1036 (2018) - [c23]Takuya Higuchi, Keisuke Kinoshita, Nobutaka Ito, Shigeki Karita, Tomohiro Nakatani:
Frame-by-Frame Closed-Form Update for Mask-Based Adaptive MVDR Beamforming. ICASSP 2018: 531-535 - [c22]Lukas Drude, Takuya Higuchi, Keisuke Kinoshita, Tomohiro Nakatani, Reinhold Haeb-Umbach:
Dual Frequency- and Block-Permutation Alignment for Deep Learning Based Block-Online Blind Source Separation. ICASSP 2018: 691-695 - [c21]Katerina Zmolíková, Marc Delcroix, Keisuke Kinoshita, Takuya Higuchi, Tomohiro Nakatani, Jan Cernocký:
Optimization of Speaker-Aware Multichannel Speech Extraction with ASR Criterion. ICASSP 2018: 6702-6706 - 2017
- [j1]Takuya Higuchi, Nobutaka Ito, Shoko Araki, Takuya Yoshioka, Marc Delcroix, Tomohiro Nakatani:
Online MVDR Beamformer Based on Complex Gaussian Mixture Model With Spatial Prior for Noise Robust ASR. IEEE ACM Trans. Audio Speech Lang. Process. 25(4): 780-793 (2017) - [c20]Katerina Zmolíková, Marc Delcroix, Keisuke Kinoshita, Takuya Higuchi, Atsunori Ogawa, Tomohiro Nakatani:
Learning speaker representation for neural network based multichannel speaker extraction. ASRU 2017: 8-15 - [c19]Takuya Higuchi, Keisuke Kinoshita, Marc Delcroix, Tomohiro Nakatani:
Adversarial training for data-driven speech enhancement without parallel corpus. ASRU 2017: 40-47 - [c18]Shoko Araki, Nobutaka Ito, Marc Delcroix, Atsunori Ogawa, Keisuke Kinoshita, Takuya Higuchi, Takuya Yoshioka, Dung T. Tran, Shigeki Karita, Tomohiro Nakatani:
Online meeting recognition in noisy environments with time-frequency mask based MVDR beamforming. HSCMA 2017: 16-20 - [c17]Keisuke Kinoshita, Marc Delcroix, Atsunori Ogawa, Takuya Higuchi, Tomohiro Nakatani:
Deep mixture density network for statistical model-based feature enhancement. ICASSP 2017: 251-255 - [c16]Tomohiro Nakatani, Nobutaka Ito, Takuya Higuchi, Shoko Araki, Keisuke Kinoshita:
Integrating DNN-based and spatial clustering-based mask estimation for robust MVDR beamforming. ICASSP 2017: 286-290 - [c15]Takuya Higuchi, Takuya Yoshioka, Keisuke Kinoshita, Tomohiro Nakatani:
Unsupervised utterance-wise beamformer estimation with speech recognition-level criterion. ICASSP 2017: 5170-5174 - [c14]Takuya Higuchi, Keisuke Kinoshita, Marc Delcroix, Katerina Zmolíková, Tomohiro Nakatani:
Deep Clustering-Based Beamforming for Separation with Unknown Number of Sources. INTERSPEECH 2017: 1183-1187 - [c13]Katerina Zmolíková, Marc Delcroix, Keisuke Kinoshita, Takuya Higuchi, Atsunori Ogawa, Tomohiro Nakatani:
Speaker-Aware Neural Network Based Beamformer for Speaker Extraction in Speech Mixtures. INTERSPEECH 2017: 2655-2659 - [p1]Marc Delcroix, Takuya Yoshioka, Nobutaka Ito, Atsunori Ogawa, Keisuke Kinoshita, Masakiyo Fujimoto, Takuya Higuchi, Shoko Araki, Tomohiro Nakatani:
Multichannel Speech Enhancement Approaches to DNN-Based Far-Field Speech Recognition. New Era for Robust Speech Recognition, Exploiting Deep Learning 2017: 21-49 - 2016
- [c12]Shoko Araki, Masahiro Okada, Takuya Higuchi, Atsunori Ogawa, Tomohiro Nakatani:
Spatial correlation model based observation vector clustering and MVDR beamforming for meeting recognition. ICASSP 2016: 385-389 - [c11]Takuya Higuchi, Nobutaka Ito, Takuya Yoshioka, Tomohiro Nakatani:
Robust MVDR beamforming using time-frequency masks for online/offline ASR in noise. ICASSP 2016: 5210-5214 - [c10]Li Li, Hirokazu Kameoka, Takuya Higuchi, Hiroshi Saruwatari:
Semi-Supervised Joint Enhancement of Spectral and Cepstral Sequences of Noisy Speech. INTERSPEECH 2016: 3753-3757 - [c9]Takuya Higuchi, Takuya Yoshioka, Tomohiro Nakatani:
Optimization of Speech Enhancement Front-End with Speech Recognition-Level Criterion. INTERSPEECH 2016: 3808-3812 - [c8]Takuya Higuchi, Takuya Yoshioka, Tomohiro Nakatani:
Sparseness-based multichannel nonnegative matrix factorization for blind source separation. IWAENC 2016: 1-5 - 2015
- [c7]Takuya Yoshioka, Nobutaka Ito, Marc Delcroix, Atsunori Ogawa, Keisuke Kinoshita, Masakiyo Fujimoto, Chengzhu Yu, Wojciech J. Fabian, Miquel Espi, Takuya Higuchi, Shoko Araki, Tomohiro Nakatani:
The NTT CHiME-3 system: Advances in speech enhancement and recognition for mobile multi-microphone devices. ASRU 2015: 436-443 - [c6]Takuya Higuchi, Hirokazu Kameoka:
Unified approach for audio source separation with multichannel factorial HMM and DOA mixture model. EUSIPCO 2015: 2043-2047 - 2014
- [c5]Takuya Higuchi, Hirokazu Kameoka:
Unified approach for underdetermined BSS, VAD, dereverberation and DOA estimation with multichannel factorial HMM. GlobalSIP 2014: 562-566 - [c4]Takuya Higuchi, Norihiro Takamune, Tomohiko Nakamura, Hirokazu Kameoka:
Underdetermined blind separation and tracking of moving sources based ONDOA-HMM. ICASSP 2014: 3191-3195 - [c3]Takuya Higuchi, Hirofumi Takeda, Tomohiko Nakamura, Hirokazu Kameoka:
A unified approach for underdetermined blind signal separation and source activity detection by multichannel factorial hidden Markov models. INTERSPEECH 2014: 850-854 - [c2]Takuya Higuchi, Hirokazu Kameoka:
Joint audio source separation and dereverberation based on multichannel factorial hidden Markov model. MLSP 2014: 1-6
2000 – 2009
- 2001
- [c1]Mamoru Mitsuishi, Shin'ichi Warisawa, Taishi Tsuda, Takuya Higuchi, Norihiro Koizumi, Hiroyuki Hashizume, Kazuo Fujiwara:
Remote Ultrasound Diagnostic System. ICRA 2001: 1567-1574
Coauthor Index
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