• Journal of the Institute of Electronics Engineers of Korea SP
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• v.48 no.2
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• pp.141-148
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• 2011

Support vector machines have been extensively studied and utilized in pattern recognition area for years. One of interesting applications of this technique is music/speech classification for a standardized codec such as 3GPP2 selectable mode vocoder. In this paper, we propose a novel approach that improves the speech/music classification of support vector machines. While conventional support vector machine optimization techniques apply during training phase, the proposed technique can be adopted in classification phase. In this regard, the proposed approach can be developed and employed in parallel with conventional optimizations, resulting in synergistic boost in classification performance. We first analyze the impact of kernel width parameter on the classifications made by support vector machines. From this analysis, we observe that we can fine-tune outputs of support vector machines with the kernel width parameter. To make the most of this capability, we identify strong correlation among neighboring input frames, and use this correlation information as a guide to adjusting kernel width parameter. According to the experimental results, the proposed algorithm is found to have potential for improving the performance of support vector machines.

• The Journal of the Acoustical Society of Korea
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• v.22 no.3E
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• pp.101-109
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• 2003

A multi-mode harmonic transform coding (MMHTC) for speech and music signals is proposed. Its structure is organized as a linear prediction model with an input of harmonic and transform-based excitation. The proposed coder also utilizes harmonic prediction and an improved quantizer of excitation signal. To efficiently quantize the excitation of music signals, the modulated lapped transform(MLT) is introduced. In other words, the coder combines both the time domain (linear prediction) and the frequency domain technique to achieve the best perceptual quality. The proposed coder showed better speech quality than that of the 8 kbps QCELP coder at a bit-rate of 4 kbps.

• Journal of information and communication convergence engineering
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• v.9 no.2
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• pp.161-165
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• 2011

Recently, According to increasing interest to original sound Karaoke instrument, MIDI type karaoke manufacturer attempt to make more cheap method instead of original recoding method. Separating technique for singing voice from music accompaniment is very useful in such equipment. We propose a system to separate singing voice from music accompaniment for stereo recordings. Our system consists of three stages. The first stage is a spectral change detector. The second stage classifies an input into vocal and non vocal portions by using GMM classifier. The last stage is a selective frequency separation stage. The results of removed by listening test from the results for computer based extraction simulation, spectrogram results show separation task successfully. Listening test with extracted MR from proposed system show vocal separating and removal task successfully.

• Advances in nano research
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• v.15 no.3
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• pp.239-251
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• 2023

In the present study, we aim to use nanotechnology sensors/actuators to capture pressure and frequency of voice singers and to send signals for improving breathing pressure. In this regard, a circular composite structure having 3 different layers are used. The core layer is nano-composite material reinforced with graphene nanoplatelets. The face sheets are piezo electric materials connected to electrical circuit capable of measuring and applying voltage to the piezoelectric layers. This sensors have extremely smaller size than conventional sensors attached to the neck of singer and, hence, minimizes the influences on the output voice of the singer. A brief theoretical framework are presented for nonlocal strain gradient theory and geometry of the sensor is described in detail. The controlling procedure along with experimental results on 20 amateur and professional singer participants are also presented. The results of the study indicate that the participants could gain benefit from the device for improving their ability in phonation and keeping their frequency at a constant level although they have difficulty in the beginning of the experiment getting used to the device.

• Journal of Music and Human Behavior
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• v.16 no.2
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• pp.79-108
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• 2019

The purpose of this study was to systematically examine the effects of music interventions on the psychological and emotional well-being of adolescents with Internet addiction. Electronic databases were searched for combinations of terms related to adolescents, Internet addiction and related disorders, music intervention, and psychological and emotional outcomes. A total of nine studies that were published between 1995 and 2018 were identified and included in the final analysis. Among the included studies, six studies targeted middle school students and included both males and females. For outcome variables, anxiety and self-control were most frequently targeted. The most frequently used genre of music was popular Korean songs. In terms of intervention effects, the studies that used songwriting as a therapeutic technique showed positive results. Only four studies reported a rationale for their interventions and linked interventions to the target goals. This study discusses how music therapy interventions for adolescents with Internet addiction should be designed to effectively address the psychological and emotional issues of this young population.

• The Journal of Society for e-Business Studies
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• v.22 no.3
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• pp.75-85
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• 2017

Personalization recommendations have already proven in many areas of the e-commerce industry. For personalization recommendations, additional work such as reclassifying items is generally necessary, which requires personal information. In this study, we propose a recommendation technique that neither exploit personal information nor reclassify items. We focus on music recommendation and performed experiments with actual music listening data. Experimental analysis shows that the proposed method may result in meaningful recommendations albeit it exploits less amount of data. We analyze the appropriate number of items and present future considerations for contextual recommendation.

• Journal of the Korea Convergence Society
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• v.11 no.11
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• pp.175-182
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• 2020

In this study, we introduced the technique of matching classical music using deep learning to design soundscape that can help the viewer appreciate painting and proposed an evaluation index to evaluate how well matching painting and music. The evaluation index was conducted with suitability evaluation through the Likeard 5-point scale and evaluation in a multimodal aspect. The suitability evaluation score of the 13 test participants for the deep learning based best match between painting and music was 3.74/5.0 and band the average cosine similarity of the multimodal evaluation of 13 participants was 0.79. We expect multimodal evaluation to be an evaluation index that can measure a new user experience. In addition, this study aims to improve the experience of multisensory artworks by proposing the interaction between visual and auditory. The proposed matching of painting and music method can be used in multisensory artwork exhibition and furthermore it will increase the accessibility of visually impaired people to appreciate artworks.

• Journal of Music and Human Behavior
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• v.7 no.2
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• pp.65-81
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• 2010

This single case study is to examine the gait parameter changes of a 12-year old patient with Cerebellar Astrocytomas using RAS in gait training program. Kinematic and temporospatial changes were analyzed using VICON 370 Motion Analysis System. A total of nine RAS gait training sessions was provided and each training program took 30 minutes. Gait analysis revealed that the patient showed improvement in cadence, velocity, stride length, and step length and improved the range of joint movements by showing gait patterns similar to normal distribution from a pathological pattern. This study showed possibilities to apply the RAS technique to the various population including clients with cerebellum damaged; however more further research should be done in this area.

• The Journal of the Korea Contents Association
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• v.13 no.11
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• pp.87-95
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• 2013

"Gone with the wind"(1939, Directed by Victor Fleming) was produced in the stylistic conventions of the classical hollywood cinema, and thus the musical employment also followed the norms of the style, such as late Romantic musical style, serving the narrative, signifier of emotion, and giving continuity and unity. But, at the same time, the statement of the classical theory that the music hides and tailors itself to support the drama - invisibility, inaudibility, narrative cuing and so on - does not seem to explain the musical employment of "Gone with the wind." On the contrary, it hires music to put itself forward, and often times it stops the narrative to show musical spectacles for which the image is tailored to fit the music. These are more of music theatre or music drama features rather than the conventional underscore of the films in that period. In this study analysed the musical employment of "Gone with the wind" to see how it took full advantage of music to lead the narrative in a more active way and to make musical spectacles, by borrowing the technique and style of music theatre, such as, overture and entr'acte, similarities with film musicals, Wagnerism influence, and the use of songs.

• The KIPS Transactions:PartD
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• v.14D no.4 s.114
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• pp.381-388
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• 2007

Consumers changed to the subject to produce a digital contents as data transmission technique is advanced and a digital machine is diffused variously. Users are interested greatly in a user creative movie (UCM) production among various online contents. The UCM production method which uses the music and picture is the method that users make the UCM more easily. However, the UCM production service has the problem that any association does not exist in the music and picture and that the picture changes according to fixed time interval without the relation at a music rhythm. To solve this problem, we propose the UCM production method which uses a music analysis and picture analysis in the paper. A music analysis finds a picture change time according to the rhythm and a picture analysis finds the association of the picture. A music analysis finds strong parts of the sound which uses Root-Mean-Square (RMS). And a picture analysis classifies the picture as a scenery picture and people picture which uses structure simplicity of the picture(SSP) and face region detection. A picture analysis got correct result of 86.4% in the experiment and we can finds the association at each picture and arranges the sequence which the picture appears. Therefore, if we use a music and picture analysis at the UCM production, users may make natural and efficient movie.