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The NAIST ASR system for the 2015 Multi-Genre Broadcast challenge: On combination of deep learning systems using a rank-score function.

, , , , , and . ASRU, page 654-659. IEEE, (2015)

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Structured Adaptive Regularization of Weight Vectors for a Robust Grapheme-to-Phoneme Conversion Model., , , , and . IEICE Trans. Inf. Syst., 97-D (6): 1468-1476 (2014)Daily Activity Recognition with Large-Scaled Real-Life Recording Datasets Based on Deep Neural Network Using Multi-Modal Signals., , , , and . IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 101-A (1): 199-210 (2018)A Statistical Sample-Based Approach to GMM-Based Voice Conversion Using Tied-Covariance Acoustic Models., , , , and . IEICE Trans. Inf. Syst., 99-D (10): 2490-2498 (2016)The HTS-2008 System: Yet Another Evaluation of the Speaker-Adaptive HMM-based Speech Synthesis System in The 2008 Blizzard Challenge, , , , and . Proceedings of the Blizzard Challenge Workshop, Brisbane, Australia, (September 2008)A Comparative Study of Self-supervised Speech Representation Based Voice Conversion., , , and . CoRR, (2022)Sound Field Interpolation with Unsupervised Calibration for Freely Spaced Circular Microphone Array in Rotation-Robust Beamforming., , and . EUSIPCO, page 21-25. IEEE, (2023)Statistical approach to voice quality control in esophageal speech enhancement., , , , and . ICASSP, page 4497-4500. IEEE, (2012)An Evaluation of Deep Spectral Mappings and WaveNet Vocoder for Voice Conversion., , , , and . SLT, page 297-303. IEEE, (2018)Statistical approach to vocal tract transfer function estimation based on factor analyzed trajectory HMM., and . ICASSP, page 3925-3928. IEEE, (2008)Performance evaluation of the speaker-independent HMM-based speech synthesis system "HTS 2007" for the Blizzard Challenge 2007., , , , and . ICASSP, page 3957-3960. IEEE, (2008)