Research on Music Emotion Intelligent Recognition and Classification Algorithm in Music Performance System

نویسندگان

چکیده

The music performance system works by identifying the emotional elements of to control lighting changes. However, if there is a recognition error, good stage effect will not be able create. Therefore, this paper proposes an intelligent emotion and classification algorithm in system. first part analyze features music, including acoustic features, melody audio features. Then, three kinds are combined together form feature vector set. In latter algorithm, it divides set into training samples test samples. trained using model based on neural network. And then, testing input model, which aiming realize emotion. result shows that kappa coefficient k values calculated proposed greater than 0.75, indicates results consistent with actual results, accuracy high. So, research purpose achieved.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Classification in music research

Since some few years, classification in music research is a very broad and quickly growing field. Most important for adequate classification is the knowledge of adequate observable or deduced features on the basis of which meaningful groups or classes can be distinguished. Unsupervised classification additionally needs an adequate similarity or distance measure grouping is to be based upon. Eva...

متن کامل

CNN based music emotion classification

Music emotion recognition (MER) is usually regarded as a multi-label tagging task, and each segment of music can inspire specific emotion tags. Most researchers extract acoustic features from music and explore the relations between these features and their corresponding emotion tags. Considering the inconsistency of emotions inspired by the same music segment for human beings, seeking for the k...

متن کامل

Boosting for Multi-Modal Music Emotion Classification

With the explosive growth of music recordings, automatic classification of music emotion becomes one of the hot spots on research and engineering. Typical music emotion classification (MEC) approaches apply machine learning methods to train a classifier based on audio features. In addition to audio features, the MIDI and lyrics features of music also contain useful semantic information for pred...

متن کامل

Toward Multi-modal Music Emotion Classification

The performance of categorical music emotion classification that divides emotion into classes and uses audio features alone for emotion classification has reached a limit due to the presence of a semantic gap between the object feature level and the human cognitive level of emotion perception. Motivated by the fact that lyrics carry rich semantic information of a song, we propose a multi-modal ...

متن کامل

Multi-label classification of music by emotion

This work studies the task of automatic emotion detection in music. Music may evoke more than one different emotion at the same time. Single-label classification and regression cannot model this multiplicity. Therefore, this work focuses on multi-label classification approaches, where a piece of music may simultaneously belong to more than one class. Seven algorithms are experimentally compared...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Scientific Programming

سال: 2021

ISSN: ['1058-9244', '1875-919X']

DOI: https://doi.org/10.1155/2021/7886570