IEICE Trans

Tomohiro NAKATANI

Feature Based Domain Adaptation for Neural Network Language Models with Factorised Hidden Layers Michael HENTSCHEL Marc DELCROIX Atsunori OGAWA Tomoharu IWATA Tomohiro NAKATANI
Publication: Publication Date: 2019/03/01 Vol. E102-D No. 3 pp. 598-608 Type of Manuscript: PAPER Category: Speech and Hearing Keyword: language model, LSTM, domain adaptation, unsupervised, latent Dirichlet allocation,
	Summary \| Full Text:PDF(1.7MB)

Integration of Spatial Cue-Based Noise Reduction and Speech Model-Based Source Restoration for Real Time Speech Enhancement Tomoko KAWASE Kenta NIWA Masakiyo FUJIMOTO Kazunori KOBAYASHI Shoko ARAKI Tomohiro NAKATANI
Publication: Publication Date: 2017/05/01 Vol. E100-A No. 5 pp. 1127-1136 Type of Manuscript: PAPER Category: Digital Signal Processing Keyword: microphone array, beamforming (BF), power spectral density (PSD) estimation, Gaussian mixture model, Wiener filtering,
	Summary \| Full Text:PDF(2.1MB)

Acoustic Event Detection in Speech Overlapping Scenarios Based on High-Resolution Spectral Input and Deep Learning Miquel ESPI Masakiyo FUJIMOTO Tomohiro NAKATANI
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2015/10/01 Vol. E98-D No. 10 pp. 1799-1807 Type of Manuscript: PAPER Category: Speech and Hearing Keyword: acoustic event detection/recognition, high-resolution feature, spectrogram patch, communication scene understanding,
	Summary \| Full Text:PDF(1.5MB)

Harmonicity Based Dereverberation for Improving Automatic Speech Recognition Performance and Speech Intelligibility Keisuke KINOSHITA Tomohiro NAKATANI Masato MIYOSHI
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2005/07/01 Vol. E88-A No. 7 pp. 1724-1731 Type of Manuscript: Special Section PAPER (Special Section on Multi-channel Acoustic Signal Processing) Category: Speech Enhancement Keyword: dereverberation, speech harmonicity, automatic speech recognition, speech intelligibility,
	Summary \| Full Text:PDF(559.2KB)