Chord-Interval, Direct-Familiarization, Musical Instrument Digital Interface, Circle of Fifths, and Functions as Basic Piano Accompaniment Transposition Techniques

Tabuena, Almighty C.

doi:10.47119/ijrp1006611220201595

Cited by 21 publications

(17 citation statements)

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“…Serra [16] classifies text, audio, and video features through a fusion model and has achieved good results in the experimental results. Tabuena [17] based on the mapping technology spatially mapped and classified multimodal data, which effectively proves the accuracy of multimodal fusion. Tomašević [18] uses the BOW model to generate file-level lyrics, which are then fused with the extracted audio and video features, and performs semantic classification.…”

Section: Related Workmentioning

confidence: 72%

Innovative Construction of Reinforcement Learning Model for Information Fusion in Music Education

Zhang

2022

Security and Communication Networks

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In order to improve the effect of modern music education, this paper applies the digital information technology of music resources to the construction of the music teaching system and derives two new types of semi-decision-making process reinforcement learning algorithms based on the Bellman optimality equation base on discrete time. Moreover, this paper uses the comparative research methods to obtain the Q-value learning curve of the incremental value iterative reinforcement learning algorithm based on the semi-Markov decision process and the incremental value iterative reinforcement learning algorithm based on the dichotomy to improve the fusion effect of music teaching resources. Finally, this paper combines the actual needs of modern music education to construct an intelligent music teaching model.

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Section: Related Workmentioning

confidence: 72%

Innovative Construction of Reinforcement Learning Model for Information Fusion in Music Education

Zhang

2022

Security and Communication Networks

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“…In multi-track music generation, the commonly used music structured symbols are represented as musical instrument digital interface (MIDI) [ 13 ]. As a communication standard between musical instruments and computers, MIDI has been widely used since it was proposed, which is a protocol for recording the connection mode and information between musical instruments and computers [ 14 ].…”

Section: Methodsmentioning

confidence: 99%

The Psychological Education Strategy of Music Generation and Creation by Generative Confrontation Network under Deep Learning

Ge²,

Wang

2022

Computational Intelligence and Neuroscience

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In order to study the role of generative adversarial network (GAN) in music generation, this article creates a convolutional GAN-based Midinet as a baseline model through the music generation process and creative psychological education and GAN principle. Additionally, it proposes a music generation model based on music theory rules and a chord-constrained GAN dual-track music generation model. Based on this model, a deep chord gated recurrent neural generative adversarial network (DCG_GAN) is proposed. The generated melodies are evaluated in both subjective and objective directions. The results show that the three evaluation indicators of DCG_GAN have the highest scores in the subjective evaluation. The average score given by ordinary listeners reaches 3.76 points, and the professional score reaches 3.58 points, which are 0.69 and 1.31 points higher than the baseline model, respectively. In the objective evaluation, DCG_GAN is improved by 8.075% in empty bars rate (EBR). The UPC (num_chroma_used) evaluation index value of the DCG_GAN model is improved by 0.52 compared with the baseline model. The qualified note ratio (QNR) evaluation index value is improved by up to 4.46% among the five audio tracks. The proposed overall style-based music generation model has superior performance in music generation. Both subjective and objective evaluations show that the generated music is more favored by the audience, indicating that the combination of deep learning and GAN has a great effect on music generation.

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“…Literature [12] proposed some algorithms for pattern discovery in music. Literature [13] studies music abstracts from the perspective of extracting key phrases. Literature [14] further proposes an algorithm for extracting music abstracts and chorus segments (chorus) using the results of structural analysis by analyzing the hierarchical structure of music signals.…”

Section: Related Workmentioning

confidence: 99%

Digital Music Waveform Analysis and Retrieval Based on Feature Extraction Algorithm

Jiao

2021

Advances in Multimedia

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In order to improve the feature extraction effect of digital music and improve the efficiency of music retrieval, this paper combines digital technology to analyze music waveforms, extract music features, and realize digital processing of music features. Taking the extraction of waveform music file features as the starting point, this paper combines the digital music feature extraction algorithm to build a music feature extraction model and conducts an in-depth analysis of the digital music waveform extraction process. In addition, by setting the threshold, the linear difference between the sampling points on both sides of the threshold on the leading edge of the waveform is used to obtain the overthreshold time. From the experimental research results, it can be seen that the music feature extraction model based on digital music waveform analysis proposed in this paper has good results.

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Chord-Interval, Direct-Familiarization, Musical Instrument Digital Interface, Circle of Fifths, and Functions as Basic Piano Accompaniment Transposition Techniques

Cited by 21 publications

References 0 publications

Innovative Construction of Reinforcement Learning Model for Information Fusion in Music Education

Innovative Construction of Reinforcement Learning Model for Information Fusion in Music Education

The Psychological Education Strategy of Music Generation and Creation by Generative Confrontation Network under Deep Learning

Digital Music Waveform Analysis and Retrieval Based on Feature Extraction Algorithm

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