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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 42  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
EA 2024-05-22
14:55
Online Online Environmental sound synthesis and creation of dataset using vocal imitations
Yuki Okamoto (Ritsumeikan Univ.), Keisuke Imoto (Doshisha Univ.), Shinnosuke Takamichi (The Univ. of Tokyo/Keio Univ.), Ryotaro Nagase, Takahiro Fukumori, Yoichi Yamashita (Ritsumeikan Univ.)
 [more]
SP, IPSJ-MUS, IPSJ-SLP [detail] 2023-06-23
13:50
Tokyo
(Primary: On-site, Secondary: Online)
Speech Emotion Recognition based on Emotional Label Sequence Estimation Considering Phoneme Class Attribute
Ryotaro Nagase, Takahiro Fukumori, Yoichi Yamashita (Ritsumeikan Univ.) SP2023-9
Recently, many researchers have tackled speech emotion recognition (SER), which predicts emotion conveyed by speech. In ... [more] SP2023-9
pp.42-47
SP, IPSJ-MUS, IPSJ-SLP [detail] 2023-06-24
13:50
Tokyo
(Primary: On-site, Secondary: Online)
Environmental Sound Separation Considering Separation Distortion and Remixing Error
Kanta Shimonishi, Takahiro Fukumori, Yoichi Yamashita (Ritsumeikan Univ.) SP2023-24
This report aims to improve the performance of environmental sound separation by considering not only the separated soun... [more] SP2023-24
pp.119-124
EA, SIP, SP, IPSJ-SLP [detail] 2022-03-02
15:35
Okinawa
(Primary: On-site, Secondary: Online)
[Poster Presentation] A study of shout detection for clipped speech
Taito Ishida, Kazuhiro Matsuda, Takahiro Fukumori, Yoichi Yamashita (Ritsumeikan Univ.) EA2021-97 SIP2021-124 SP2021-82
Recently, several audio surveillance systems using shouted speech have been proposed for safety in daily life.
Although... [more]
EA2021-97 SIP2021-124 SP2021-82
pp.207-212
SP, IPSJ-SLP, IPSJ-MUS 2021-06-18
15:00
Online Online [Poster Presentation] Scream detection based on deep learning using time-sequential spectral and cepstral features
Takahiro Fukumori (Ritsumeikan Univ.) SP2021-6
Discrimination between normal speech and scream is crucial in audio surveillance and monitoring. Although deep neural ne... [more] SP2021-6
pp.31-36
NLC, IPSJ-NL, SP, IPSJ-SLP [detail] 2020-12-02
13:50
Online Online Multi-Modal Emotion Recognition by Integrating of Acoustic and Linguistic Features
Ryotaro Nagase, Takahiro Fukumori, Yoichi Yamashita (Ritsumeikan Univ.) NLC2020-14 SP2020-17
In recent years, the advanced techique of deep learning has improved the performance of Speech Emotional Recognition as ... [more] NLC2020-14 SP2020-17
pp.7-12
SIP, EA, SP, MI
(Joint) [detail]
2018-03-20
09:00
Okinawa   [Poster Presentation] A study on suitable modulation parameters for spectral peak noise reduction based on frequency modulated carrier in parametric loudspeaker
Kairi Mori, Takahiro Fukumori, Masato Nakayama, Takanobu Nishiura (Ritsumeikan Univ.) EA2017-151 SIP2017-160 SP2017-134
In the conventional modulation method using a parametric loudspeaker, a resonance frequency of an ultrasonic element is ... [more] EA2017-151 SIP2017-160 SP2017-134
pp.275-276
SIP, EA, SP, MI
(Joint) [detail]
2018-03-20
09:00
Okinawa   [Poster Presentation] Performance evaluation of unknown sound clustering for indoor-environmental sound classification based on self-generated acoustic model
Sakiko Mishima, Yukoh Wakabayashi, Takahiro Fukumori, Keisuke Imoto, Masato Nakayama, Takanobu Nishiura (Ritsumeikan Univ.) EA2017-152 SIP2017-161 SP2017-135
Indoor-environmental sound classification is useful for surveillance systems which monitor the situations in the dark an... [more] EA2017-152 SIP2017-161 SP2017-135
pp.277-280
EA, ASJ-H 2017-12-01
15:20
Overseas University of Auckland (New Zealand) Range Control of Maximum Demodulation Distance in Parametric Loudspeaker Using Flexible Acoustic-lens
Kirara Ariyoshi, Takahiro Fukumori, Masato Nakayama, Takanobu Nishiura (Ritsumeikan Univ.) EA2017-79
In this paper, we propose the control method of the maximum demodulation distance in the parametric loudspeaker using fl... [more] EA2017-79
pp.109-114
EA, ASJ-H 2017-12-01
16:00
Overseas University of Auckland (New Zealand) HRTF Personalization Based on Pinna Shape Estimation with Handy 3D Scanner
Zhuan Zuo, Takahiro Fukumori, Masato Nakayama, Takanobu Nishiura (Ritsumeikan Univ.) EA2017-81
A binaural system using only headphones with head-related transfer functions (HRTFs) has been studied for reproducing a ... [more] EA2017-81
pp.121-126
SP 2017-08-30
15:50
Kyoto Kyoto Univ. Detection of noisy-and-reverberant shouted speech using rahmonic and mel-frequency cepstrum coefficients
Takahiro Fukumori, Masato Nakayama, Takanobu Nishiura (Ritsumeikan Univ.), Hiroaki Nanjo (Kyoto Univ.) SP2017-31
This paper describes a method based on new combined features with mel-frequency cepstrum coefficients (MFCCs) and rahmon... [more] SP2017-31
pp.49-54
EA, ASJ-H 2017-08-10
14:00
Miyagi Tohoku Univ., R. I. E. C. Evaluation on Performance of Spatial Sound-image Projection on Acoustic Hologram with Multiple Parametric Loudspeakers Array
Yoshinori Ogami, Takahiro Fukumori, Masato Nakayama, Takanobu Nishiura (Ritsumeikan Univ.) EA2017-40
A parametric loudspeaker can transmit an audible sound to a particular area called "audio spot". By utilizing the parame... [more] EA2017-40
pp.79-84
EA, ASJ-H 2017-08-10
14:25
Miyagi Tohoku Univ., R. I. E. C. A Study on Sound-quality Improvement Based on Multiplexed Double Sideband Modulation in Parametric Loudspeaker
Yusei Nakano, Takahiro Fukumori, Masato Nakayama, Takanobu Nishiura (Ritsumeikan Univ.) EA2017-41
A parametric loudspeaker can reproduce an audible sound to a particular area. To reproduce an audible sound, the paramet... [more] EA2017-41
pp.85-90
SP, SIP, EA 2017-03-01
10:25
Okinawa Okinawa Industry Support Center Noisy speech reconstruction based on deep neural network with optical microphone
Tomoyuki Mizuno, Takahiro Fukumori, Masato Nakayama, Takanobu Nishiura (Ritsumeikan Univ.) EA2016-84 SIP2016-139 SP2016-79
Measuring distant-talking speech with high accuracy is important for detecting criminal activity. Various microphones su... [more] EA2016-84 SIP2016-139 SP2016-79
pp.13-18
SP, SIP, EA 2017-03-01
12:40
Okinawa Okinawa Industry Support Center [Poster Presentation] Indoor-environmental sound identification based on deep neural network with higher-dimensional features
Sakiko Mishima, Yukoh Wakabayashi, Takahiro Fukumori, Masato Nakayama, Takanobu Nishiura (Ritsumeikan Univ.) EA2016-87 SIP2016-142 SP2016-82
Surveillance systems with a video camera have been utilized for the safety of people. It is important to identify the in... [more] EA2016-87 SIP2016-142 SP2016-82
pp.31-36
SP, SIP, EA 2017-03-01
12:40
Okinawa Okinawa Industry Support Center [Poster Presentation] Reverberant speech enhancement with deep auto encoder based on harmonic structure
Rikuto Ota, Yukoh Wakabayashi, Takahiro Fukumori, Masato Nakayama, Takanobu Nishiura (Ritsumeikan Univ.) EA2016-107 SIP2016-162 SP2016-102
This paper describes reverberant speech enhancement (RSE) with deep auto encoder (DAE) based on harmonic structure. DAEs... [more] EA2016-107 SIP2016-162 SP2016-102
pp.141-146
SP, SIP, EA 2017-03-02
09:00
Okinawa Okinawa Industry Support Center [Poster Presentation] An evaluation of voice intelligibility in factory noise environment based on active noise control and auditory masking
Rumi Ito, Takahiro Fukumori, Masato Nakayama, Takanobu Nishiura (Ritsumeikan Univ.) EA2016-126 SIP2016-181 SP2016-121
In factories, factory workers exposed to loud and continual noises feel strong discomfort. We have previously proposed a... [more] EA2016-126 SIP2016-181 SP2016-121
pp.249-254
SP, SIP, EA 2017-03-02
09:00
Okinawa Okinawa Industry Support Center [Poster Presentation] Performance evaluation of noisy shouted speech detection based on acoustic model with rahmonic and mel-frequency cepstrum coefficients
Takahiro Fukumori, Masato Nakayama, Takanobu Nishiura (Ritsumeikan Univ.), Hiroaki Nanjo (Kyoto Univ.) EA2016-132 SIP2016-187 SP2016-127
This paper describes a method based on new combined features with mel-frequency cepstrum coefficients (MFCCs) and rahmon... [more] EA2016-132 SIP2016-187 SP2016-127
pp.283-286
SP, SIP, EA 2017-03-02
15:45
Okinawa Okinawa Industry Support Center Speech enhancement with phase reconstruction using phase distortion in harmonic frequency
Yukoh Wakabayashi, Takahiro Fukumori, Masato Nakayama, Takanobu Nishiura, Yoichi Yamashita (Ritsumeikan Univ.) EA2016-145 SIP2016-200 SP2016-140
Conventionally the speech enhancement in noisy environment is widely studied by modifying only the amplitude spectrum of... [more] EA2016-145 SIP2016-200 SP2016-140
pp.351-356
EA, ASJ-H 2016-08-09
14:00
Miyagi Tohoku Gakuin Univ., Tagajo Campus Phase reconstruction based on time-frequency domain harmonic structure for speech enhancement
Yukoh Wakabayashi, Takahiro Fukumori, Masato Nakayama, Takanobu Nishiura, Yoichi Yamashita (Ritsumeikan Univ.) EA2016-22
Conventional speech enhancement in noisy environment is widely studied by modifying only an amplitude spectrum of a spee... [more] EA2016-22
pp.13-18
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