Search Results - "Nakatani, Tomohiro"

Independent Vector Extraction for Fast Joint Blind Source Separation and Dereverberation by Ikeshita, Rintaro, Nakatani, Tomohiro

“…We address a blind source separation (BSS) problem in a noisy reverberant environment in which the number of microphones <inline-formula><tex-math…”
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Generalization of Multi-Channel Linear Prediction Methods for Blind MIMO Impulse Response Shortening by Yoshioka, T., Nakatani, T.

“…The performance of many microphone array processing techniques deteriorates in the presence of reverberation. To provide a widely applicable solution to this…”
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Robust MVDR beamforming using time-frequency masks for online/offline ASR in noise by Higuchi, Takuya, Ito, Nobutaka, Yoshioka, Takuya, Nakatani, Tomohiro

“…This paper considers acoustic beamforming for noise robust automatic speech recognition (ASR). A beamformer attenuates background noise by enhancing sound…”
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SpeakerBeam: Speaker Aware Neural Network for Target Speaker Extraction in Speech Mixtures by Zmolikova, Katerina, Delcroix, Marc, Kinoshita, Keisuke, Ochiai, Tsubasa, Nakatani, Tomohiro, Burget, Lukas, Cernocky, Jan

“…The processing of speech corrupted by interfering overlapping speakers is one of the challenging problems with regards to today's automatic speech recognition…”
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Block Coordinate Descent Algorithms for Auxiliary-Function-Based Independent Vector Extraction by Ikeshita, Rintaro, Nakatani, Tomohiro, Araki, Shoko

“…In this paper, we address the problem of extracting all super-Gaussian source signals from a linear mixture in which (i) the number of super-Gaussian sources…”
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A Multichannel MMSE-Based Framework for Speech Source Separation and Noise Reduction by Souden, Mehrez, Araki, Shoko, Kinoshita, Keisuke, Nakatani, Tomohiro, Sawada, Hiroshi

“…We propose a new framework for joint multichannel speech source separation and acoustic noise reduction. In this framework, we start by formulating the…”
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FastMNMF: Joint Diagonalization Based Accelerated Algorithms for Multichannel Nonnegative Matrix Factorization by Ito, Nobutaka, Nakatani, Tomohiro

“…A multichannel extension of nonnegative matrix factorization (NMF) for audio/music data, called multichannel NMF (MNMF), has been proposed by Sawada et al…”
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A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research by Kinoshita, Keisuke, Delcroix, Marc, Gannot, Sharon, P. Habets, Emanuël A., Haeb-Umbach, Reinhold, Kellermann, Walter, Leutnant, Volker, Maas, Roland, Nakatani, Tomohiro, Raj, Bhiksha, Sehr, Armin, Yoshioka, Takuya

“…In recent years, substantial progress has been made in the field of reverberant speech signal processing, including both single- and multichannel…”
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Beam-TasNet: Time-domain Audio Separation Network Meets Frequency-domain Beamformer by Ochiai, Tsubasa, Delcroix, Marc, Ikeshita, Rintaro, Kinoshita, Keisuke, Nakatani, Tomohiro, Araki, Shoko

“…Recent studies have shown that acoustic beamforming using a microphone array plays an important role in the construction of high-performance automatic speech…”
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A Joint Diagonalization Based Efficient Approach to Underdetermined Blind Audio Source Separation Using the Multichannel Wiener Filter by Ito, Nobutaka, Ikeshita, Rintaro, Sawada, Hiroshi, Nakatani, Tomohiro

“…Blind source separation (BSS) of audio signals aims to separate original source signals from their mixtures recorded by microphones. The applications include…”
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Jointly optimal denoising, dereverberation, and source separation by Nakatani, Tomohiro, Boeddeker, Christoph, Kinoshita, Keisuke, Ikeshita, Rintaro, Delcroix, Marc, Haeb-Umbach, Reinhold

“…This paper proposes methods that can optimize a Convolutional BeamFormer (CBF) for jointly performing denoising, dereverberation, and source separation…”
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DOA-informed switching independent vector extraction and beamforming for speech enhancement in underdetermined situations by Ueda, Tetsuya, Nakatani, Tomohiro, Ikeshita, Rintaro, Araki, Shoko, Makino, Shoji

“…This paper proposes novel methods for extracting a single Speech signal of Interest (SOI) from a multichannel observed signal in underdetermined situations,…”
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Semi-supervised End-to-end Speech Recognition Using Text-to-speech and Autoencoders by Karita, Shigeki, Watanabe, Shinji, Iwata, Tomoharu, Delcroix, Marc, Ogawa, Atsunori, Nakatani, Tomohiro

“…We introduce speech and text autoencoders that share encoders and decoders with an automatic speech recognition (ASR) model to improve ASR performance with…”
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Supervised physical therapy versus surgery for patients with lumbar spinal stenosis: a propensity score-matched analysis by Minetama, Masakazu, Kawakami, Mamoru, Teraguchi, Masatoshi, Enyo, Yoshio, Nakagawa, Masafumi, Yamamoto, Yoshio, Matsuo, Sachika, Nakatani, Tomohiro, Sakon, Nana, Nakagawa, Yukihiro

“…Background Previous studies comparing surgical with nonsurgical treatment for lumbar spinal stenosis (LSS) reported that surgery is superior to nonsurgical…”
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Location Feature Integration for Clustering-Based Speech Separation in Distributed Microphone Arrays by Souden, Mehrez, Kinoshita, Keisuke, Delcroix, Marc, Nakatani, Tomohiro

“…In distributed microphone arrays (DMAs) the source location information can be defined at the intra and inter-node levels. Indeed, while the first type of…”
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Supervised physical therapy versus unsupervised exercise for patients with lumbar spinal stenosis: 1-year follow-up of a randomized controlled trial by Minetama, Masakazu, Kawakami, Mamoru, Teraguchi, Masatoshi, Kagotani, Ryohei, Mera, Yoshimasa, Sumiya, Tadashi, Nakagawa, Masafumi, Yamamoto, Yoshio, Matsuo, Sachika, Sakon, Nana, Nakatani, Tomohiro, Kitano, Tomoko, Nakagawa, Yukihiro

“…Objective: To compare the 1-year outcomes of patients with lumbar spinal stenosis treated with supervised physical therapy or unsupervised exercise. Design: A…”
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Harmonicity-Based Blind Dereverberation for Single-Channel Speech Signals by Nakatani, T., Kinoshita, K., Miyoshi, M.

“…The distant acquisition of acoustic signals in an enclosed space often produces reverberant artifacts due to the room impulse response. Speech dereverberation…”
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Exploring multi-channel features for denoising-autoencoder-based speech enhancement by Araki, Shoko, Hayashi, Tomoki, Delcroix, Marc, Fujimoto, Masakiyo, Takeda, Kazuya, Nakatani, Tomohiro

“…This paper investigates a multi-channel denoising autoencoder (DAE)-based speech enhancement approach. In recent years, deep neural network (DNN)-based…”
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Dominance Based Integration of Spatial and Spectral Features for Speech Enhancement by Nakatani, Tomohiro, Araki, Shoko, Yoshioka, Takuya, Delcroix, Marc, Fujimoto, Masakiyo

“…This paper proposes a versatile technique for integrating two conventional speech enhancement approaches, a spatial clustering approach (SCA) and a factorial…”
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Integrating DNN-based and spatial clustering-based mask estimation for robust MVDR beamforming by Nakatani, Tomohiro, Ito, Nobutaka, Higuchi, Takuya, Araki, Shoko, Kinoshita, Keisuke

“…Recently, time-frequency mask-based beamforming has been extensively studied as the frontend of deep neural network (DNN) based automatic speech recognition…”
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