Hiromi Ishizaki

Hiromi Ishizaki
KDDI R&D Laboratories Inc.

About

15
Publications
3,802
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58
Citations
Citations since 2017
0 Research Items
28 Citations
201720182019202020212022202302468
201720182019202020212022202302468
201720182019202020212022202302468
201720182019202020212022202302468

Publications

Publications (15)
Patent
To provide a contents creating device and a contents creating method capable of distributing contents having an article arrangement with high relativity to a user as distribution destination. A contents creating device 100 to create contents to be distributed within a predetermined group, including a material evaluation unit 130 configured to evalu...
Conference Paper
Full-text available
We analyze user behavior on two music distribution websites, SoundCloud.com and Last.fm, using a computer-mediated discourse analysis approach. The broad goal is to infer patterns of use that can inform the development of system/site designs to facilitate communication among online users. The specific goal is to analyze the actions users perform th...
Conference Paper
Feature based sentiment analysis is normally conducted using review Web sites, since it is difficult to extract accurate product features from tweets. However, Twitter users express sentiment towards a large variety of products in many different languages. Besides, sentiment expressed on Twitter is more up to date and represents the sentiment of a...
Conference Paper
Full-text available
We analyze user behavior on SoundCloud.com, a web-based music distribution site, using the methodology of computer-mediated discourse analysis. The broad goal is to infer patterns of use that can inform the development of methods to facilitate communication among online users. In order to achieve this goal, we analyze SoundCloud comments and identi...
Conference Paper
Full-text available
In this paper, we propose a system which automatically generates slideshows for music, by utilizing images retrieved from photo sharing web sites, based on query words extracted from song lyrics. The proposed system consists of two major steps: (1) query extraction from song lyrics, (2) image selection from web image search results. Moreover, in or...
Conference Paper
Utilization of web images with social tags as training data has been a major trend for the development of automatic image tagging/classification systems. While the amount of information available on web sites such as Flickr is abundant, the majority of information obtained from such sites is in English, the dominant language on the web. This lingui...
Conference Paper
Automatic beat estimation is an essential technology not only for fundamental analysis of music, but also for the development of advanced music applications such as DJ mixing. In this paper, we propose an autocorrelation based beat estimation method, which, unlike existing methods, is capable of accurately detecting the position of beats, even from...
Conference Paper
Full-text available
In order to achieve highly accurate content-based music information retrieval (MIR), it is necessary to compensate the various bit rates of encoded songs which are stored in the music collection, since the bit rate differences are expected to apply a negative effect to content-based MIR results. In this paper, we examine how the bit rate difference...
Conference Paper
Full-text available
This paper proposes an automatic DJ mixing method that can automate the processes of real world DJs and describes a prototype for a fully automatic DJ mix-like playing system. Our goal is to achieve a fully automatic DJ mixing system that can preserve overall user comfort level during DJ mixing. In this paper, we assume that the difference between...
Conference Paper
Full-text available
This research presents a formal user evaluation of a typical visualization method for content-based music information retrieval (MIR) systems, and also proposes a novel interface to improve MIR usability. Numerous interfaces to visualize content-based MIR systems have been proposed, but reports on user evaluations of such proposed GUIs are scarce....
Conference Paper
Full-text available
This paper proposes content-based music information re- trieval (MIR) methods based on user preferences, which aim to improve the accuracy of MIR for users with ìdi- verseî preferences, i.e., users whose preferences range in songs with a wide variety of features. The proposed MIR method dynamically generates an optimal set of query vec- tors from t...
Conference Paper
Full-text available
This paper proposes a feature space modification method for feature extraction of music, which is effective for the development of a content-based music information retrieval (MIR) system based on user preferences. The proposed method conducts clustering of all songs in the music collection, and utilizes the resulting cluster IDs as training data f...

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