| As people’s work pressures increase,more and more people like to relax themselves by listening to music.Music gradually becomes a way of life for people.People love music while also pursuing the headset quality,comfort and convenience of headphones.In order to make the user have a better listening experience,a user-friendly headset was developed。This headset is comfortable to wear and sound clear.At the same time,users can voice-control the headset to help users get the target song.With the development of artificial intelligence and speech recognition technology,more and more intelligent voice manipulation products have emerged.However,combining artificial intelligence technology with everyday products has become a trend in the application of modern artificial intelligence technology.These products not only bring a lot of convenience to people,but also enrich people’s lives.Users can operate the product with only voice commands.When the product is in the start-up state,the user issues a voice command and gets the voice input.Convert the voice to the corresponding text for processing.Segmentation of the text by word segmentation algorithm.Makes the voice match the corresponding participle and reaches the purpose of playing the song.In order to support better use of headphones,its management system is developed.The system uses the Java Web development model,which is the most commonly used development model in the Internet.It also uses framework technologies such as Spring,Spring MVC,and My Batis to make the hierarchy clear,concise and easy for developers to maintain.The system uses service-oriented interface management data,which greatly reduces the coupling between the data layer and the business layer code.At the same time,in the design of the front-end,style-rich UI technology is used to present the user with a simple and diverse management interface.The system mainly solves two problems.One is that the music smart headset is controlled by a voice password,and there are some unrecognized voices.The voice engine module can analyze the reason why voice cannot be identified and process it.The function of exporting data is set in the module.Analyze the data to find out why the voice was not matched.According to the reason,the algorithm is optimized to make the voice match more accurate.The other is for the user to get a rich target song or song list.The music module is set in the system and organizes a rich song list for the user.This module is mainly to create play list,manage play list by tag,and match songs for play list. |
