The invention provides a media program interaction method and system and is applicable to the field of multimedia application The media program interaction method comprises the following steps: establishing an audio feature library by a server in real time; storing audio feature values and program interactive information of all media programs; recording an audio of a currently-played media program through a mobile device; extracting the audio feature values of the audio of the media program, and sending the extracted audio feature value to the server; carrying out similarity matching on the received audio feature value and the audio feature values of all the media programs in the audio feature library by the server, so as to identify the currently-played media program; and judging the type information of the currently-played media program by the server, and pushing the corresponding program interactive information to the mobile device according to the type information of the currently-played media program With the adoption of the media program interaction method and the media program interaction system provided by the invention, the media program interactive information watched by a user can be accurately and rapidly fed back to the user The media program interaction method and the media program interaction system provided by the invention have the advantages of large amount of the interactive information, various types and better user experience; and the various demands of the user can be met

Media program interaction method and system

The invention discloses a cloud computing platform server load balancing system and method, so as to overcome the defect that the current static load balancing technology cannot carry out dynamic adjustment according to the real-time condition of a load and the defect that a dynamic load balancing technology needs to additionally occupy system resources. According to the method, when a service request is received, a cloud computing platform selects a target server according to the number of requests which are processed and are being processed by each server in a cluster in recent preset unit time and the number of generated logs, and forwards the service request to the target server for processing. According to the embodiment of the invention, the load balancing can be effectively improved.

Cloud computing platform server load balancing system and method

The invention discloses a medical history transferring system based on voice recognition. The medical history transferring system based on voice recognition is composed of a voice collection unit, a cloud voice analysis and recognition unit, a medical history transferring unit and an output unit. A model is established by the cloud voice analysis and recognition unit through training conducted onvoice and a corresponding text and with the application of a tool kit of an HMM, so that a reasonable application side module is obtained; voice collected by the voice collection unit is sent into theapplication side module to be converted, a result obtained after conversion is transferred in a formatting and standardized mode through the medical history transferring unit, and finally an electronic medical history is output by the output unit. The medical history is transferred through a voice recognition system so that the work efficiency of doctors can be improved, paperless operation of medical history type-in can be achieved in a more environmentally friendly way

Medical history transferring system based on voice recognition

The invention provides a method for recommending music stars with tones similar to those of singers. The method includes the steps that pure human voice frequencies are obtained, preprocessing is conducted on the pure human voice frequencies, a voice feature coefficient set of each pure human voice frequency is extracted, and corresponding music star models are trained through the voice model algorithm; preprocessing is conducted on given user voice samples, and feature coefficient sets are extracted; the feature coefficient sets of the user voice samples are matched with all the music star models, and the music stars with the tones most similar to the tones of the singers are found out. The invention further provides a corresponding device. The method and device for recommending the music stars with the tones similar to those of the singers can be applied to KTV scenes, are used for recommending music stars with the tones similar to those of users, can increase singing pleasure, and improve the level of the users for simulating the tones of the music stars.

Method and device for recommending music stars with tones similar to those of singers

The invention provides an identification method for intelligent robots in order to accurately identify personnel identity. The identification method includes the steps of 1), establishing an identification database; 2), inputting facial images and voice information to be identified; 3), respectively calculating feature vectors of inputted facial images and voices; 4), performing identification of faces and voices; 5), outputting identification results.

Identification method for intelligent robots

The invention discloses a voice recognition method facing a specific crowd. The method comprises the following steps of: first, sampling a voice signal and converting the voice signal to a digital signal from an analogue signal; then, pre-weighting, windowing, en-framing and performing front-end processing of endpoint detection on the digital voice signal; later on, performing feature extraction on the voice signal by adopting discrete wavelet transform; and finally, performing voice recognition on the feature-extracted voice signal by adopting a discrete hidden Markov model after training a sample. In the processes of performing the front-end processing and the feature extraction on the voice signal, spectrum features and pronunciation characteristics of different target crowds are fully taken into consideration and the process of extracting voice information is optimized, so that a processing process and an information extracting process can be simplified; and therefore, recognition precision is ensured, simultaneously calculation amount and information storage capacity in the recognition process are greatly reduced, and the voice recognition on an embedded platform is realized.

Voice recognition method facing specific crowd

The invention relates to a voice recognition system and method, in particular to a voice recognition system and method based on cloud. The voice recognition system comprises an intelligent voice input terminal, a load balancing server, a voice identification server cluster and a data base server cluster, wherein the intelligent voice input terminal is connected with the load balancing server, the load balancing server is connected with the voice identification server cluster, and the voice identification server cluster is connected with the data base server cluster. Because a cloud calculation technology is introduced to voice identification application services, the structure and the method can effectively solve the problems that the prior voice identification system is low in identification rate and causes slow concurrent access responses because of being limited in storage and calculation resources and improves comparison operation time, and adaptability of the voice recognition system and method is extended.

Chen Xinna

Papers

Voice recognition method facing specific crowd

Voice recognition system and method based on cloud