Software engineering fourth time job--team work

Software engineering fourth time job--team work

This homework use team work way, my teammates are my classmates, they are: (captain) Kianjiang, Jamo, Shuai, Huang Sharp. The overall task of our team is to make a "score recognition and performance" software, take a picture of the score, it will use optical recognition to convert to music.

In this team work I have to do the task is mainly to do demand research, for this I first summed up the common needs of the advantages and disadvantages of research methods, and then combined with the actual situation of our team to choose the most suitable for our research methods.

Research methods	Advantages	Disadvantages
Field Observation method	Investigators gain direct, true, and reliable firsthand information on the ground through observation.	There is a certain contingency, and subject to the subjective influence of the respondents
Interview Survey method	The problem that applies to the investigation is more thorough, the object of investigation is very different, the sample of investigation is small	The result is difficult to carry on the quantitative research, and the interview process is long, the cost is high, the concealment sex is poor
Conference Survey Law	Simple, efficient and quick to learn more detailed and reliable social information	The results of the survey are difficult to fully reflect the objective reality, and limited by the time constraints, difficult to do in-depth and detailed conversation
Questionnaire Survey Method	Break through the limitations of time and space, in a broad range, the investigation of many subjects at the same time	Can only obtain written social information, but not to understand the vivid, specific social situation
Sampling method	Save manpower, material and financial resources, can obtain relatively accurate investigation result in a short time, have strong timeliness	limitations, which can affect the accuracy of survey results when the results are insufficient
Literature Survey Method	Break through the limitations of time and space, conduct a wide range of investigations, survey data easy to summarize and analysis	Generally only as the forerunner of the investigation, but not as the realistic basis of the investigation conclusion

Combined with the above several research methods, our team finally decided to take the meeting survey law, convened the students of each class we know, began a detailed discussion, in the process of mutual communication between students, we get a lot of useful information, the following is the summary of the Meeting survey

Summary of the Meeting survey

With the rapid development of Internet of things technology, music and digital technology has become an indispensable part of human being, and with the popularization of music network teaching, music digitization and other technologies have been widely used. But it is regrettable that, as the core content of music-score, in the current vast range of music teaching system, are static images as a display, so "music recognition software" can meet the teaching of dynamic score of the strong demand, At the same time, it can promote the application of music digital technology in the field of music teaching nowadays. In this meeting, we have made a lively discussion on the merits and demerits of the realization of "music recognition software", and I have made the following summary.

Advantages:1. It provides an effective way for the digital management of many existing paper score resources. With the vigorous development of digital library, digital music library has also arisen quietly. The digitization of paper score resources has become a top priority in the construction of digital music library. Music library in the possession of thousands of scores, such a vast digital engineering, relying solely on the traditional manual input, will be a long and heavy work, both time-consuming and expensive. The music is recognized and processed, the result has small storage space, flexible expression, visual score graphics display, auditory music real-time playback, so it has other data forms incomparable advantages.

2. Digital music education. From the examination-oriented education to the quality education transition and the development of today, multimedia computer music into the classroom has become the development of the Times and music education needs. Usually, the music teacher writes on the blackboard The spectrum example in the student heart difficulty to form the sound Auditory Association, but the piano pops up the sound to be fleeting, with the help of the music recognition software, the teacher can in the classroom immediately in the textbook sample generation "The digital score", uses its very direct music display function as well as the real-time sex. Dynamic characteristics, the spectrum example and practice of audio synchronization in front of students, and can quickly re-play or play any part of the score, so that students ' auditory and visual image into one, so as to stimulate students interest in learning.

3. Digital Entertainment. So that ordinary people can quickly "identify" the score, and auditory impact, so as to experience the beauty of music.

Cons:1. form Complex. Text documents are usually composed only of characters, and the score is a combination of line graphics, block graphics, symbols, text and other morphological elements, which is very difficult to identify.

2. Dense intersection, more adhesion. Because the various interlaced shapes in the score are embedded in the spectral lines, they intersect with the spectral lines. Adhesion everywhere.

3. Polymorphism. There is no strict standard for writing the notation, so music of the same meaning can be described in different forms, which increases the difficulty of implementation.

4. fuzziness. The same rule or constraint does not apply to different kinds of scores in the score, not even to different sections of the same score. For example, the value of the note value in the score section must be consistent with the beat, but the constraint is valid only for the single-part score, and is not valid for multi-part scores or notes across the bar.

Development history

with the development of high-performance scanning equipment and the popularization of the computer music technology, From the traditional paper score to the digital music expression form the need for more and more obvious and attention, thus the study into a substantial stage of development. According to the specific research situation, the research of this period should be aimed at the research of primitive layer recognition method, such as the segmentation of music score, drawing symbol extraction and so on, and achieved many achievements.

In the late period of the year, the study of music recognition showed the trend of accelerating development. In the research content, the recognition accuracy, reliability and adaptability of the original language layer are put forward higher requirements, while the syntactic, semantic layer of theoretical research has been paid attention to. A considerable part of the research work put forward a complete, systematic system of score recognition system and algorithm, and designed to implement the experimental system.

At present, the music recognition technology is entering the initial application period, some research achievements have been popularized, for example, to solve the problem of digital music library's music score resource input. Some of the commercial music recognition software has been introduced, such as the German Capella Company's Capella-scan, France Myriad Company's Optical Music Reader (Omer) , the United Kingdom Neuratron Company's Photoscore and so on.

The significance of the study of music score recognition

The conversion of paper score to digital score is the only way to exchange information between human music activities and computer music processing. Optical score recognition is the process of computer digital expression of music score, which is processed, identified, analyzed and finally obtained by inputting the paper score into a computer. Optical score recognition technology has broken through the manual music score digital Bottleneck, which provides an intelligent, efficient and fast new way for the score digitization, and has important research significance and application value.

Analysis of Baidu translation software

Baidu translation 7 months, Baidu machine translation team to build Baidu translation officially launched, is a free online translator service, providing high-quality Chinese, English, Japanese, Korean, Spanish, Thai, French, Arabic, Translation services in Portuguese, Russian, German, Italian, Dutch, Greek, Cantonese, classical Chinese and other languages are dedicated to helping users to cross language barriers and provide simple and reliable services.

2 months, officially launched Baidu translation mobile phone client. Baidu translation app is a set of translation, dictionaries, a large amount of examples in a mobile application, original physical translation, smear translation, voice translation, classical Chinese translation and other functions, leading the translation industry trend, can anytime and anywhere, convenient to meet the needs of the user's translation, is people living, travel , the best helper to learn.

Baidu Translation also has the choice of American English and British English pronunciation, users can set the corresponding pronunciation according to their own preferences. But before the great popularity of travel enthusiasts welcome the practical oral section to further optimize the user experience, new copy, collection, amplification, sharing four functions, so that the product more humane. In addition, if the user wants to have a deeper understanding of the meaning of a word, the added central interpretation and the English-English interpretation of the new version of Baidu translation can help you learn more about the extensibility of the term.

In addition to expanding the direction of translation, Baidu translation in the accuracy of the grasp is also very strict. Baidu related Technical personnel introduction, "Baidu translation in the user's greatest demand in the Chinese and English translation accuracy rate far beyond the market of similar products." For the popular tourist translation function, the accuracy of translation has also increased to 90%, almost perfect communication borderless state. ”

It is learnt that in the near future, Baidu translation team will continue to explore and broaden the product ideas, try a more forward-looking technology exploration, to maximize the solution of user life may encounter language problems as the goal, with "human language mode and thinking logic" to break the communication barriers between different languages.

Software engineering fourth time job--team work