Multimedia content can be described in versatile ways as its essence is not limited to one side. For music data these multiple fields could be a song's audio features as well as its lyrics. But most recent research revolves around melody information for retrieval. Therefore, we proposed an MIR system that utilizes the user's acoustic signal from a singing voice and retrieves the music information using both lyrics and melody information. The lyrics recognition module uses a keyword spotting system based on textcontent of the lyrics by an HMM comparison engine. The melody recognition module extracts pitch and MFCC features from the user singing input and then retrieves music by a GMM comparison engine. Consequently, the proposed MIR system consists of fusing the lyrics and melody recognition module in which the melody recognition especially operates to restrict recognition candidates. Experiments show that the proposed MIR system has recognition rate of 72.72% to 83.64% when the numbers of restricted recognition candidates are from 10 to 50.
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In this paper, we propose and implement speech recognition-based mobile geo-mashup application technology. The conventional HCI-method for mobile-based geo-mashup generally uses a detachable stylus-based touch screen or key-pad. However, interaction mechanisms of the mobile devices cannot utilize all or any of their visual resources, since the activities of users are dynamic and the mobile devices have limited resource and a small touch screen. In contrast, this technology maps and displays geographical information of the relevant country, referring to 70 country names that are recognized by the embedded Vocabulary-Independent Speech Recognizer (VISR), on the mobile mixed web-map module. This issue may enable more convenient and powerful UI (User Interface) in the mobilebased geo-mashup domain for geographical distribution of various mobile-content selected from all the world's nations.
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