[Retracted] Music Rhythm Detection Algorithm Based on Multipath Search and Cluster Analysis

Ma, Shuqing

doi:10.1155/2021/5627626

Cited by 7 publications

(4 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…IEEE802.16 defines two MACHeader: formats: GenericMACHeader: format and bandwidth request header. The generic MAC header is followed by the contents of the MAC layer's management message or data from the CS aggregation sublayer [18].…”

Section: Business Level Design Of English Educationmentioning

confidence: 99%

Analysis on the Sharing Method of English Mobile Education Resources Based on Wireless Broadband Connection

Chen

Wang

2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

The sharing of English educational resources has always been a research hotspot in the English industry. The traditional English educational resource sharing system has low resource sharing efficiency and no real-time contribution capability. Therefore, this paper proposes a method to analyze the characteristics of online educational resources. By comparing the main features of the IEEE802 wireless standard series, the IEEE802.16 protocol stack model is constructed by using the IEEE802.16 protocol, the business layer design and CS layer of the English education resource system are realized through the MAC layer and the CPS layer, and the mobile English education resource sharing system is analyzed. Live voting service: in order to improve the sharing speed of mobile English education resources, an NRTPS uplink bandwidth allocation mechanism is proposed, and the design of a mobile English education resource sharing system based on wireless broadband connection is realized. The experimental results show that the resource sharing efficiency of the system is high, and it plays an important role in the development of English education.

show abstract

Section: Business Level Design Of English Educationmentioning

confidence: 99%

Analysis on the Sharing Method of English Mobile Education Resources Based on Wireless Broadband Connection

Chen

Wang

2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…Hierarchical model provides an intuitive and simple interface to integrate prior knowledge and understanding of action structure. Most of the first dance action identify methods rely on artificial design features; that is, specific algorithms are used to extract motion features from videos [28]. Video is composed of many video frames, in which video frames contain the appearance information and background information of dance movements, and adjacent video frames have a progressive relationship in time.…”

Section: Methodsmentioning

confidence: 99%

A Dance Somersault Pose Recognition Model Using Multifeature Fusion Algorithm

Kang

2022

Mobile Information Systems

View full text Add to dashboard Cite

With the continuous progress of society, dance art has gradually entered the lives of ordinary people, and people’s appreciation level and artistic attention have gradually improved. How to improve the level of dance art has become an urgent problem to be resolved. In order to solve the problems encountered in dance tumbling pose recognition, this paper proposes a dance tumbling pose recognition model based on multifeature fusion algorithm. According to the characteristics of dance movements, an effective feature extraction method is studied. By combining the key information of bones, the fusion features of the relative position of human joints, the angle of joints, and the ratio of limb length are selected to classify the movements in the dance scene. Through the residual block automatic motion detection method, a multifeature fusion module is used to fuse multiple features, so as to improve the estimation of complex pose by the algorithm and finally complete the dance action identify. The test and analysis results on the data set show that the algorithm can identify the dance somersault pose and can effectively improve the accuracy of dance movement recognition, with strong recognition performance. It is convenient for people to recognize dance tumble posture in the video, thereby realizing the action correction function for dancers.

show abstract

“…It eliminates the drawback that clustering algorithms necessitate the use of digital interface tools (MIDI) to assist the input in achieving the desired result. The algorithm uses a PCM signal as an input because it is more practical [5]. Based on the fusion of visual and acoustic features, Nanni et al proposed a new and effective audio automatic classification method.…”

Section: Related Workmentioning

confidence: 99%

Music Audio Rhythm Recognition Based on Recurrent Neural Network

Chen

2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

Music rhythm detection and tracking is an important part of music understanding system and music visualization system. Based on the important position of rhythm in music expression and the wide range of multimedia applications, rhythm extraction has become an important hotspot in computer music analysis. In the field of audio recognition research, deep learning can automatically learn the features of audio and extract the rhythm of music. This paper takes music audio rhythm recognition as the main research object and carries out a series of researches with deep learning GRU neural network as the main technical support. A residual network is introduced into the GRU network model, and it is found that when the residual network is at 50 layers, the model has the highest accuracy for audio rhythm extraction. After adjusting the model parameters through experiments, this paper concludes that the average recognition accuracy of the ResNet_50-GRU model for recognizing the rhythm of the music audio in the MSD, AudioSet, and FMA data sets is 92.5%.

show abstract

[Retracted] Music Rhythm Detection Algorithm Based on Multipath Search and Cluster Analysis

Cited by 7 publications

References 25 publications

Analysis on the Sharing Method of English Mobile Education Resources Based on Wireless Broadband Connection

Analysis on the Sharing Method of English Mobile Education Resources Based on Wireless Broadband Connection

A Dance Somersault Pose Recognition Model Using Multifeature Fusion Algorithm

Music Audio Rhythm Recognition Based on Recurrent Neural Network

Contact Info

Product

Resources

About