Research On Mobile Music Player System Design And Audio Processing Algorithm

In order to solve the problems of traditional mobile music player,such as lack of music content recognition function,slow audio codec speed and poor interaction of playing interface,this paper studies the design of mobile music player and audio processing algorithm,so that users canget better music quality experience and more smooth and convenient operation.In view of the lack of music recognition function and poor interface interaction of music player,based on the summary and analysis of the current research and development status of music player under Android system,the software engineering language is used to analyze the function and performance requirements of the music player to be developed;for the needs of music player,the overall design of its system architecture is given According to the design idea,the detailed design of the modules including Player UI,menu,playlist,basic playing function,online music search and backstage service is completed;SQLite is used as the player database to complete the logical design and physical model of the music player database.In the aspect of music content-based recognition,an improved audio fingerprint recognition algorithm based on time chroma image is proposed.Experiments show that the recognition rate can be more than 90% and can be effectively applied to music retrieval and recognition in mobile terminals.Aiming at the problem of slow encoding and decoding speed,the improved MDCT / IMDCT algorithm is adopted.The experimental results show that under the guarantee of certain sound quality,the encoding and decoding algorithm can be used effectively.The algorithm can meet the requirements of real-time playback,improve the authenticity of sound quality and audio processing speed.Based on the above music player system design and related audio processing algorithm,the software coding and system test of the player system are completed.The test results show that the designed and developed music player meets the performance requirements and functional requirements given in the demand analysis,and realizes content-based audio recognition.The player has the characteristics of occupying less resources,playing sound quality,good operation interface and stable playing.