Positive Grid LLC

Trend Micro Inc.

Yi-Song Siao

Yi-Fan Yeh

Shun-Fa Yang

Hung-Hao Cheng

Tien-Ming Wang

Jia-Sin Huang

Fang-Chien Hsiao

Mu-Chiao Chiu

Shih-Chien Kuo

The intelligent accompaniment generating system includes an input module, an analysis module, a generation module and a musical equipment. The input module is configured to receive a musical pattern signal derived from a raw signal. The analysis module is configured to analyze the musical pattern signal to extract a set of audio features, wherein the input module is configured to transmit the musical pattern signal to the analysis module. The generation module is configured to obtain a playing assistance information having an accompaniment pattern from the analysis module, wherein the accompaniment pattern has at least two parts having different onsets therebetween, and each onsets of the at least two parts is generated by an algorithm according to the set of audio features. The musical equipment includes a digital amplifier configured to output an accompaniment signal according to the accompaniment pattern.

Intelligent accompaniment generating system and method of assisting a user to play an instrument in a system

A system for modifying an audio signal comprises a computer including a first digital signal processor (DSP). The first DSP includes a first module and a second module. The first module is coupled to the interface to provide a musical instrument with a set of testing input signals and obtain a set of testing output signals from the musical instrument via the interface. The second module is configured to perform functions including: analyzing the set of testing output signals to obtain a set of parameters, constructing an acoustic transducer to model characteristics of the musical instrument based on the set of parameters, and receiving the audio signal to modify the audio signal using the acoustic transducer, wherein the first DSP module obtains the set of parameters at least by identifying occurrences when an output level state determined at least based on the set of testing output signals significantly changes.

System of modeling characteristics of a musical instrument

Scanning of files for malicious codes may be performed by calculating a first hash value of a file in a client computer and providing the first hash value of the file to a remotely located server computer. The server computer may compare the first hash value of the file to first hash values of malicious code patterns to determine if the file is possibly infected with malicious code. A malicious code pattern having a first hash value that matches that of the file may be forwarded from the server computer to the client computer. In the client computer, a second hash value of the file may be calculated and compared against a second hash value of the malicious code pattern to determine if the file is infected with the malicious code.

Scanning computer data for malicious codes using a remote server computer

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Taipei, Taiwan

Yi-Song Siao