JP2006047652A - Musical piece data generation and distribution method, and musical piece data distribution system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To generate and distribute tones comfortable and favorable to the person himself or herself and surrounding people. <P>SOLUTION: The method for generation of musical piece data includes: a music selection step; an arrangement step; a step of playing, singing and recording musical pieces at a tempo slower than that of the original music; a step of generating standard musical piece data by mixing; and a step of regulating the standard musical piece data for every model group of portable telephone sets. Further, the musical piece data distribution system stores the musical piece data of every model group, acquires the model information of the portable telephone sets being accessed, decides to which of the model groups the musical piece data belongs, and downloads the musical piece data corresponding to the model group. The musical piece data which is comfortable to the person himself or herself and can be calmly responded with is generated and the musical pieces optimized for every model can be distributed. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to a method for generating music data such as so-called singing songs and a method and apparatus for distributing the generated music data, and in particular, a method for generating music data and a method for distributing music data suitable for the characteristics of various mobile phones. , Relating to the device.

  2. Description of the Related Art Conventionally, a ring tone of a mobile phone is shifted from a mere tone of an electronic buzzer to a ringtone that generates a musical tone signal based on MIDI (score) data, and desired music data can be downloaded. Furthermore, in recent years, the storage capacity of mobile phones has increased, and a so-called singing function for downloading compressed digital musical tone data and using it as a ringtone is installed.

For example, Patent Literature 1 below discloses a ringtone service method that allows a user to easily edit a favorite part of a music source recorded on a medium brought by a customer as a ring tone and perform it on a mobile phone. .
Japanese Patent Laid-Open No. 2002-204789

  In the conventional song receiving function described above, as song data downloaded from the site, for example, the upper song in the hit chart is selected, and the song data is created using the original data of the song's CD. There are problems such as difficulty in hearing melodies, distortion of sound, too fast tempo, and high-pitched ears when pronounced on a mobile phone. There was a point. SUMMARY OF THE INVENTION An object of the present invention is to solve the above-mentioned problems, and to create and distribute a sound that is pleasant and preferable for the person and those around him and that is compatible with the model of the mobile phone.

  The music data generation method of the present invention includes a step of selecting music, a step of arranging the selected music, a step of recording the arranged music at a tempo slower than the original music, and recording. The main features include the steps of mixing data to generate standard music data and adjusting the standard music data for each mobile phone model group to generate music data for each model group And

  The music data distribution apparatus according to the present invention is based on database means for storing music data for each model group, model information acquisition means for acquiring model information of the mobile phone that has been accessed, and the model information obtained. Group determining means for determining which model group the mobile phone belongs to, and download means for downloading music data corresponding to the model group to which the mobile phone belongs based on a download request for specific music from the mobile phone The main feature is that

  The music data generation method and music data distribution apparatus according to the present invention can generate music data that is comfortable for the person and can respond calmly and is not unpleasant for the surrounding people, and is optimized for each model. So that even if it is pronounced as a ringtone on various mobile phones, it is clearly pronounced without distortion, and the ringtone is comfortable and pleasant not only for the user but also for the people around. There is an effect of becoming.

  Embodiments will be described below with reference to the drawings. In this embodiment, instead of generating music data from the original CD of the song, the song is played and sung exclusively for the song, and the song data is generated by recording and adjusted to correspond to the model. It is downloaded from a server to a mobile phone and used as a ringtone.

  FIG. 1 is a flowchart showing the song data generation process of the present invention. In S10, first, music selection is performed. As a reference, a song that is at the top of the hit chart, a song that is likely to be of interest to the user of the mobile phone, and a song that is likely to match the acoustic characteristics of the mobile phone is selected.

In S11, a concept is determined, and arrangement and arrangement are performed. In a mobile phone, since the speaker is small and the housing is also small, bass sounds are considerably attenuated or distorted, but middle and high sounds tend to be pronounced clearly. Therefore, in the arrangement, first, a tone color that is suitable for the mid-high range and is comfortable to listen to is selected. As a result of various trials, the inventor has found that a piano or a cappella (human voice) is suitable as a timbre.

  Next, since the song data has a small storage capacity of the mobile phone, it needs to be about several hundred kilobytes and should be arranged in about 30 seconds at the longest. Therefore, for example, the most characteristic rust portion of the music is extracted and arranged shortly. Also, since the tempo of the original song is generally too fast for an incoming song, the tempo is made slower than the original song. By slowing down the tempo, you can hear the melody more clearly and feel calm and reduce discomfort.

  When the melody (main melody) is determined, the accompaniment sound (harmonies) is added to the main melody based on the music theory. If there are too many sounds and utterances at the same time, it will be difficult to hear each sound.

  In S12, a musician or a singer is asked to perform with a piano, digital piano or other musical instrument or sing with a cappella, and digitally record in multitrack. In S13, it is determined whether or not it is satisfactory by trial listening. If not, the process returns to S12 or returns to S11 and starts again.

  In S14, the multitrack data is mixed into a digital stereo signal in accordance with the electroacoustic characteristics of a standard mobile phone. The reason for the stereo signal is that the current song data is monaural, but may be made stereo in the future. In mixing, the bass part is scraped and a lot of echoes are applied. By the above operation, standard song data as a base is generated. This standard song data is stored for a new model addition process to be described later.

  The processes after S15 are processes for adapting to the characteristics of each mobile phone model. Cellular phones have different data formats (codes), circuits (LSI chips), and speakers for each model, and the housing shape is also different. Etc. are different. However, mobile phones using the same LSI or speaker have similar acoustic characteristics even if the models are different.

  Therefore, models having similar acoustic characteristics are grouped into model groups, and the level and sound quality of standard singing data are adjusted for each model group, and converted into a code that can be reproduced on a mobile phone, that is, compressed.

  In S15, one unprocessed model group is selected from a plurality of model groups. In S16, adjustment and encoding processing are performed in accordance with the characteristics of the group. Specifically, for example, adjustment parameters such as average level, relative level for each frequency band (frequency characteristics), compressor level for each frequency band, limiter level, etc. are set according to the acoustic characteristics of the mobile phone of the model group. Then, the above-mentioned standard song data is digitally processed and further encoded to generate song data corresponding to the model group.

  In S17, it is determined whether or not it is satisfactory by trial listening. If not, the process returns to S16 to correct the adjustment parameter and repeat the process. In S18, it is determined whether or not the processing has been completed for all the model groups. If there is an unprocessed one, the process returns to S15. In S19, the created singing data for each model group is associated with each model group and registered in the server DB described later.

  FIG. 2 is a block diagram showing the configuration of the entire system including the song data distribution device of the present invention. A server 10 which is a song data distribution device includes a database 11 in which song data for each model group is registered, and is connected to the Internet 12. The server 10 has a Web server function.

  A mobile phone network A13, a mobile phone network B14, and a mobile phone network C15 operated by each communication carrier are also connected to the Internet 12 via a gateway server (not shown), and the mobile phone 20 that is a terminal of each mobile phone network is respectively Can be connected to the server 10 via the mobile phone network and the Internet 12. The mobile phone 20 includes a web browser, and can download desired song data from the server 10 and store it in a memory. Such communication networks and mobile phones are well known.

  FIG. 3 is a flowchart showing the processing contents of the server. In S20, it waits until there is access, and in S21, it is determined whether or not the accessing user is a registered user. If it is an official site, user identification information can be obtained from the mobile phone network. Authentication may be performed based on an ID and password registered in advance.

  In S22, it is determined whether or not it is a download request (for a specific music piece). If the determination result is negative, the process proceeds to S23, but if the determination is affirmative, the process proceeds to S24. In S23, other service processing is performed.

  In S24, model information is acquired from the terminal. A terminal ID code for identifying a terminal is fixedly stored in the mobile phone, and a predetermined digit above the code is a model code. Therefore, the terminal model is found by acquiring the terminal ID code from the terminal.

  In S25, the model group to which the terminal belongs is determined. For this purpose, a model / model group correspondence table is created in advance in the database, and this table is referenced using the model code as a key.

  In S26, the singing data of the specific music corresponding to the model group determined in S25 is read and downloaded to the mobile phone. Through the processing as described above, the user of the mobile phone can download the received song data suitable for the model of his / her mobile phone.

  FIG. 4 is a flowchart showing the contents of the new model addition process. The flowchart in FIG. 1 is a process for creating new song song data corresponding to the current model group, but when a new model of mobile phone is released, a large number of existing song data is quickly It is necessary to support new models.

  In S30, for example, a sample is received from the manufacturer before the new model is released, and the specifications, circuit characteristics, acoustic characteristics, etc. of the new model of the mobile phone are investigated and measured. In S31, it is determined whether or not it matches or resembles the characteristics of the existing model group. If the determination result is negative, the process proceeds to S32, but if the determination is affirmative, the process proceeds to S38. In S38, since it is not necessary to newly generate the song data, the model is additionally registered in the existing model group, and the process ends.

  When the characteristics of the new model are different from those of the existing model, it is necessary to generate the song data for the new model. Therefore, in S32, the level and frequency characteristics for processing the above-mentioned standard song data, etc. Determine the adjustment parameters. In S33, unprocessed standard song data is read.

  In S34, the standard song data is adjusted according to the parameters determined in S32, and the encoding process is performed on the code suitable for the model. In S35, it is determined whether or not the processing has been completed for all the model groups. If the determination result is negative, the process proceeds to S33, but if the determination is affirmative, the process proceeds to S36.

  In S36, the model group and model are additionally registered in the database. In S37, all the encoded data generated corresponding to the model group is registered. Through the processing as described above, the song data corresponding to the new model can be automatically generated.

  Although the first embodiment has been described above, the following modifications may be considered in the present invention. In the embodiment, the surround function is not supported. However, when the mobile phone is made stereo, it is possible to perform surround adjustment in accordance with the characteristics of the mobile phone.

It is a flowchart which shows the song data generation process of this invention. It is a block diagram which shows the structure of the whole system containing the arrival song data delivery apparatus of this invention. It is a flowchart which shows the processing content of a server. It is a flowchart which shows the content of a new model addition process.

Explanation of symbols

DESCRIPTION OF SYMBOLS 10 ... Server 11 ... Database 12 ... Internet 13, 14, 15 ... Mobile phone network 20 ... Mobile phone

Claims (6)

A step of selecting a song;
Arranging the selected music, and
Recording or arranging the arranged music at a slower tempo than the original music,
Mixing the recording data to generate standard music data;
A method of generating music data for a mobile phone, comprising: adjusting music data as a standard for each model group of the mobile phone to generate music data for each model group.   2. The music data according to claim 1, wherein in the arranging step, the music is arranged in a short length, the number of simultaneous pronunciations is set to a predetermined number or less, and the timbre matches the acoustic characteristics of the mobile phone. Generation method.   2. The music data generation method according to claim 1, wherein, in the arranging step, the number of simultaneous pronunciations is set to 4 or less and the tone color is determined to be either piano or a cappella. Measuring the characteristics of a new mobile phone,
If there is a group that matches the characteristics of the existing model group, adding a new model to the model group,
Comparing the characteristics of the existing model group, and if there is no matching group, determining a parameter for adjusting the music data;
Adjusting existing standard music data according to the parameters to generate music data compatible with the model;
A method for generating music data for a mobile phone, comprising the step of newly establishing a model group and registering a model and corresponding music data. In the music data distribution device, obtaining model information of the mobile phone that has been accessed;
Determining which model group the mobile phone belongs to based on the earned model information;
Downloading music data generated by the method of claim 1 corresponding to a model group to which the mobile phone belongs based on a download request for specific music from the mobile phone. Delivery method. Database means for storing music data for each model group;
Model information acquisition means for acquiring model information of the mobile phone that has been accessed,
Group determination means for determining which model group the mobile phone belongs to based on the earned model information;
A music data distribution apparatus comprising: download means for downloading music data corresponding to a model group to which the mobile phone belongs based on a download request for specific music from the mobile phone.

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