Analysis of Different Keying Modes and Brain Sound Image Establishment Mode in Piano Playing
The piano is known as the king of musical instruments for its rich expressiveness. Pianists get rich emotion with tone control. Touch key mode is the primary method of tone control. The purpose of this paper is to conduct research and analysis on different keying modes and brain-sound image establis...
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| Veröffentlicht in: | Wireless communications and mobile computing 2022-04, Vol.2022, p.1-8 |
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| description | The piano is known as the king of musical instruments for its rich expressiveness. Pianists get rich emotion with tone control. Touch key mode is the primary method of tone control. The purpose of this paper is to conduct research and analysis on different keying modes and brain-sound image establishment modes in piano performance. In this paper, we first propose a fuzzy mathematical proximity comparison method and an audio feature extraction method. Most of the audio features are derived from speech recognition tasks. They can reduce the original waveform sampling signal, thereby accelerating the machine’s understanding of the semantic meaning of audio. Using comparative analysis method, fuzzy mathematical proximity comparison method, and audio feature extraction as research methods, a model analysis research model based on different key touch methods in piano playing was established, and the relationship between piano key touch and brain sound image was studied. The experimental results of this paper show that after using the research method in this paper, the error rate of the data is controlled within 5%. Compared with previous research methods, the error rate is lower and has certain practical value. |
| doi_str_mv | 10.1155/2022/6713468 |
| format | Article |
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Pianists get rich emotion with tone control. Touch key mode is the primary method of tone control. The purpose of this paper is to conduct research and analysis on different keying modes and brain-sound image establishment modes in piano performance. In this paper, we first propose a fuzzy mathematical proximity comparison method and an audio feature extraction method. Most of the audio features are derived from speech recognition tasks. They can reduce the original waveform sampling signal, thereby accelerating the machine’s understanding of the semantic meaning of audio. Using comparative analysis method, fuzzy mathematical proximity comparison method, and audio feature extraction as research methods, a model analysis research model based on different key touch methods in piano playing was established, and the relationship between piano key touch and brain sound image was studied. The experimental results of this paper show that after using the research method in this paper, the error rate of the data is controlled within 5%. Compared with previous research methods, the error rate is lower and has certain practical value.</description><identifier>ISSN: 1530-8669</identifier><identifier>EISSN: 1530-8677</identifier><identifier>DOI: 10.1155/2022/6713468</identifier><language>eng</language><publisher>Oxford: Hindawi</publisher><subject>Acoustics ; Brain ; Brain research ; Control equipment ; Feature extraction ; Fuzzy sets ; Keying ; Mathematical analysis ; Melody ; Musical instruments ; Musical performances ; Musicians & conductors ; Piano music ; Pianos ; Sound ; Speech recognition ; Waveforms</subject><ispartof>Wireless communications and mobile computing, 2022-04, Vol.2022, p.1-8</ispartof><rights>Copyright © 2022 Jingle Huang.</rights><rights>Copyright © 2022 Jingle Huang. 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Pianists get rich emotion with tone control. Touch key mode is the primary method of tone control. The purpose of this paper is to conduct research and analysis on different keying modes and brain-sound image establishment modes in piano performance. In this paper, we first propose a fuzzy mathematical proximity comparison method and an audio feature extraction method. Most of the audio features are derived from speech recognition tasks. They can reduce the original waveform sampling signal, thereby accelerating the machine’s understanding of the semantic meaning of audio. Using comparative analysis method, fuzzy mathematical proximity comparison method, and audio feature extraction as research methods, a model analysis research model based on different key touch methods in piano playing was established, and the relationship between piano key touch and brain sound image was studied. The experimental results of this paper show that after using the research method in this paper, the error rate of the data is controlled within 5%. 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Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Huang, Jingle</au><au>A Saeed, Rashid</au><au>Rashid A Saeed</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of Different Keying Modes and Brain Sound Image Establishment Mode in Piano Playing</atitle><jtitle>Wireless communications and mobile computing</jtitle><date>2022-04-11</date><risdate>2022</risdate><volume>2022</volume><spage>1</spage><epage>8</epage><pages>1-8</pages><issn>1530-8669</issn><eissn>1530-8677</eissn><abstract>The piano is known as the king of musical instruments for its rich expressiveness. Pianists get rich emotion with tone control. Touch key mode is the primary method of tone control. The purpose of this paper is to conduct research and analysis on different keying modes and brain-sound image establishment modes in piano performance. In this paper, we first propose a fuzzy mathematical proximity comparison method and an audio feature extraction method. Most of the audio features are derived from speech recognition tasks. They can reduce the original waveform sampling signal, thereby accelerating the machine’s understanding of the semantic meaning of audio. Using comparative analysis method, fuzzy mathematical proximity comparison method, and audio feature extraction as research methods, a model analysis research model based on different key touch methods in piano playing was established, and the relationship between piano key touch and brain sound image was studied. 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| subjects | Acoustics Brain Brain research Control equipment Feature extraction Fuzzy sets Keying Mathematical analysis Melody Musical instruments Musical performances Musicians & conductors Piano music Pianos Sound Speech recognition Waveforms |
| title | Analysis of Different Keying Modes and Brain Sound Image Establishment Mode in Piano Playing |
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