CN109326175B - A vocal music training assistance system - Google Patents

Abstract

The invention relates to the technical field of vocal music assistance, in particular to a vocal music training assistance system, comprising a server, a vocal music training database, a training playback module, a sound signal transceiver module, a pronunciation school team module, a data analysis module and a vocal music recommendation module. Pronunciation, take the training music as the reference object to conduct school team, when the tone in the pronunciation is different from the tone in the corresponding music, an error statistics are carried out, and it is obtained that the trainer has trained the pronunciation of the same music for many times. Based on the analysis results of the error frequency tendency, the trainers are recommended to train with music with different degrees of difficulty according to the analysis results. According to the strength level of the trainer, this program recommends music suitable for the trainer's training, which has a certain guiding effect for the beginner trainer.

Description

A vocal music training assistance system

technical field

The invention relates to the technical field of vocal music assistance, in particular to a vocal music training assistance system.

Background technique

Vocal music refers to the form of music that is sung in life. Vocal music is mainly based on the human vocal cords, and cooperates with the oral cavity, tongue and nasal cavity to produce pleasant, continuous and rhythmic sounds. According to the difference in the range and timbre, it can be divided into For soprano, mezzo-soprano, alto, tenor, baritone and bass. Vocal music is the combination of artistic language and scientific vocal image to create a vivid and pleasant singing voice.

Excellent vocal music requires the trainer to perform many times of training, but for a beginner trainer, the trainer not only needs the teacher's guidance, but also needs to practice repeatedly after class, but after-class training is no better than the teacher's on-the-spot training. Guidance progresses rapidly. Since there is no outsider's guidance for after-class training, the effect of the trainer's after-class practice is not good. In addition, when the trainer trains in private, when the trainer does not know his own strength level, he cannot choose the music suitable for the current training. For example, it is difficult to choose the music that needs to be trained, which is not conducive to the progress of the trainer. , and may also damage the enthusiasm or confidence of the trainer due to more mistakes.

SUMMARY OF THE INVENTION

The present invention aims to provide a vocal music training auxiliary system, which recommends music suitable for the trainer's training according to the trainer's strength level, and has a certain guiding effect for the beginner trainer.

For solving the above problems, the technical scheme of the present invention is as follows:

A vocal music training assistance system, comprising a server, a vocal music training database, a training playback module, a sound signal transceiver module, a pronunciation school team module, a data analysis module and a vocal music recommendation module;

The server is used to coordinate the work of the modules in the entire vocal training system;

The vocal music training database is used to pre-store the music required for vocal music training;

The training playback module is used for the trainer to retrieve music from the vocal training database, and then play the retrieved music;

The sound signal transceiver module is used to collect the trainer's pronunciation and transmit the collected pronunciation to the pronunciation school team module;

Pronunciation school team module is used for school teaming the received pronunciation with the trained music as the reference object. When the pitch in the proofreading is different from the pitch in the corresponding music, an error statistics will be carried out. After pronouncing the school team, send the error statistics to the data analysis module;

The data analysis module is used to compare and analyze the error statistical results generated by the multiple pronunciations of the same music training, and obtain the analysis results of the error frequency trend formed by the trainer training the pronunciation of the same music multiple times. The result is sent to the vocal recommendation module;

The vocal music recommendation module is used to classify the music in the vocal music training database into difficulty levels, and is also used to push music with different degrees of difficulty to the trainer for training according to the analysis results.

Further, also include a matching and fetching module, and the pronunciation school team module is also used to send the wrong statistical number of times of each tone in the multiple pronunciations of the same music training to the matching and fetching module;

The matching and retrieving module is used to select the tones with the most number of error statistics from the number of error statistics received for all the tones, and then match the music with the same tone with the most frequent occurrences from the vocal music recommendation module according to the selected tones;

The vocal music recommendation module is also used for recommending to the trainer according to the degree of easy to difficult from the music matched by the matching retrieval module.

Further, the vocal music training database is also used for pre-storing video tutorials required for vocal music training, and the video tutorials include facial expression demonstration tutorials required for training pronunciation; the training playback module is also used to retrieve from the vocal music training database. video tutorial, and then play the recalled video tutorial;

It also includes a video signal transceiver module, a matching comparison module and a storage module;

The video signal transceiver module is used to record the facial expression changes generated when the trainer pronounces, generate a training video after recording, and then send the training video to the matching and comparison module;

The matching and comparison module is used to match the video tutorials referenced by the recorded training videos from the vocal music training database, and then package the training videos and video tutorials together and send them to the storage module;

The pronunciation school team module is also used to package and send the pronunciation, the music trained by pronunciation and the generated error statistics to the storage module after the pronunciation school team is completed.

The storage module is used to store the packaged data sent by the matching comparison module and the pronunciation school team module;

The training and playback module is also used for the trainer to retrieve the packaged data in the storage module for decompression and playback.

Further, it also includes an exchange platform, the exchange platform is connected to the Internet through a server, and the exchange platform includes a man-machine operation interface, an account registration module, an upload module and an evaluation message module;

Human-machine interface for inputting and displaying information and coordinating the work of each module on the communication platform;

The account registration module is used for the user to register the account;

The uploading module is used to retrieve the packaged data in the storage module through the server and upload it to the man-machine interface, so that users of the communication platform can view or listen to it;

The evaluation message module is used for users of the exchange platform to comment on the uploaded packaged data.

Further, the communication platform also includes a request sending module and a video docking module;

The request sending module is used for users on the communication platform to send video requests;

The video docking module is used to make a video call between users after the video request is connected.

Further, a training limitation module is also included for presetting basic training rules. Before the trainer starts to train pronunciation, he must complete the basic training rules before proceeding with subsequent pronunciation training.

Compared with the prior art, the beneficial effects of the present invention are as follows:

1. Through the pronunciation school team module, the trainer's pronunciation is counted incorrectly. When the school team arrives at a different pitch in the pronunciation and the corresponding pitch in the music being trained, an error count is performed. According to the statistical trend of errors formed by the pronunciation of the same piece of music trained by the trainer for many times, the strength level of the trainer is judged, and then according to the strength level, the trainer is automatically recommended to the trainer for training with suitable difficulty level. When a person performs vocal music training, he should know the trainer's pronunciation ability in time, and the beginner trainer generally does not know which music to start training from. Pronunciation strength recommends music, has a certain guiding and planning role.

2. The pronunciation school team module also specifically counts the number of errors of each tone, and selects the music with the most frequent tones for the tones with many errors, and then selects the difficulty from the selected music according to the strength of the trainer. The music of the appropriate level enables the trainer to perform targeted training according to the wrong pitch, and effectively correct the error.

3. The present invention is provided with a video recording function, which combines the recorded training video with the video tutorial. On the one hand, the facial expressions of the video tutorial can be imitated when training vocalizations. On the other hand, the trainer can view the training video and the video tutorial afterwards. Comparing the trainers' own facial expressions which are not in place and correcting them. When the trainer's facial expressions are in place, it not only helps the pronunciation to be more accurate, but also fully expresses the emotional voice to achieve the artistic sense of vocal music.

4. By establishing a communication platform, it is solved that when the trainer is training alone, he cannot accurately correct the pitch error and needs to seek help from outsiders. Users on the communication platform can provide opinions and video guidance to the trainer, which can be realized remotely. Communication can bring up the mistakes and deficiencies of the trainers on the spot, so that the trainers can correct them in time.

Description of drawings

FIG. 1 is a logical block diagram of an embodiment of a vocal music training assistance system according to the present invention.

Detailed ways

The following is further described in detail by specific embodiments:

The embodiment is basically as shown in accompanying drawing 1: a vocal music training assistance system, including a server, a vocal music training database, a training playback module, a sound signal transceiver module, a pronunciation school team module, a data analysis module and a vocal music recommendation module;

The server is used to coordinate the work of the modules in the entire vocal training system;

The vocal music training database is used to pre-store the music required for vocal music training;

The training playing module is used for the trainer to fetch music from the vocal training database, and then play the fetched music; specifically, the training playing module includes a touch screen, which is used for the trainer to click on the touch screen, so that the training playing module plays the clicked information.

The sound signal transceiver module is used to collect the trainer's pronunciation and transmit the collected pronunciation to the pronunciation school team module;

Pronunciation school team module is used for school teaming the received pronunciation with the trained music as the reference object. When the pitch in the proofreading is different from the pitch in the corresponding music, an error statistics will be carried out. After pronouncing the school team, send the error statistics to the data analysis module;

The data analysis module is used to compare and analyze the error statistical results generated by the multiple pronunciations of the same music training, and obtain the analysis results of the error frequency trend formed by the trainer training the pronunciation of the same music multiple times. The result is sent to the vocal recommendation module;

The vocal music recommendation module is used to classify the music in the vocal music training database into difficulty levels, and is also used to push music with different degrees of difficulty to the trainer for training according to the analysis results.

Also include a matching and fetching module, and the pronunciation school team module is also used to send the error statistics number of times of each tone in the multiple pronunciations of the same music training to the matching and fetching module;

The matching and retrieving module is used to select the tones with the most number of error statistics from the number of error statistics received for all the tones, and then match the music with the same tone with the most frequent occurrences from the vocal music recommendation module according to the selected tones;

The vocal music recommendation module is also used for recommending to the trainer according to the degree of easy to difficult from the music matched by the matching retrieval module.

The vocal music training database is also used to pre-store video tutorials required for vocal music training, and the video tutorials include facial expression demonstration tutorials required for training pronunciation; the training playback module is also used to retrieve video tutorials from the vocal music training database. , and then play the recalled video tutorial;

It also includes a video signal transceiver module, a matching comparison module and a storage module;

The video signal transceiver module is used to record the facial expression changes generated when the trainer pronounces, generate a training video after recording, and then send the training video to the matching and comparison module;

The matching and comparison module is used to match the video tutorials referenced by the recorded training videos from the vocal music training database, and then package the training videos and video tutorials together and send them to the storage module;

The pronunciation school team module is also used to package and send the pronunciation, the music trained by pronunciation and the generated error statistics to the storage module after the pronunciation school team is completed.

The storage module is used to store the packaged data sent by the matching comparison module and the pronunciation school team module;

The training and playback module is also used for the trainer to retrieve the packaged data in the storage module for decompression and playback.

Also includes an exchange platform, the exchange platform is connected to the Internet through a server, and the exchange platform includes a man-machine interface, an account registration module, an upload module and an evaluation message module;

Human-machine interface for inputting and displaying information and coordinating the work of each module on the communication platform;

The account registration module is used for the user to register the account;

The uploading module is used to retrieve the packaged data in the storage module through the server and upload it to the man-machine interface, so that users of the communication platform can view or listen to it;

The evaluation message module is used for users of the exchange platform to comment on the uploaded packaged data.

The communication platform also includes a request sending module and a video docking module;

The request sending module is used for users on the communication platform to send video requests;

The video docking module is used to make a video call between users after the video request is connected.

It also includes a training limitation module for presetting basic training rules. Before the trainer starts to train pronunciation, he must complete the basic training rules before proceeding with subsequent pronunciation training.

The specific implementation process is as follows:

One, the trainer's music recommendation

When the trainer starts vocal music training, the trainer selects the music to be practiced from the vocal music training database through the training playing module and plays it. The trainer starts pronunciation training according to the played music, and the sound signal transceiver module collects the trainer's pronunciation. When the trainer completes the pronunciation training of a piece of music, the sound signal transceiver module sends a complete pronunciation to the pronunciation school team module. .

The pronunciation school team module uses the received pronunciation as a reference object to make a school team. When the same pitch in the pronunciation is inconsistent with the pitch in the music, an error count is performed. For example, if there are 20 inconsistent tones in a complete pronunciation, 20 errors are counted, and then the pronunciation school team module sends the 20 error statistics to the data analysis module.

When the trainer performs 10 pronunciation training for the same piece of music, the tones of the 10 pronunciations will be separately counted incorrectly, that is, the data analysis module will receive 10 incorrect statistical results. The data analysis module can compare and analyze the error statistics results of these 10 times, and obtain the analysis results of the error frequency trend of the same music training. The analysis results are roughly three states of increasing trend, decreasing trend or stable trend. For example, the trainer's pitch errors in these 10 pronunciation trainings are 3, 4, 4, 5, 6, 7, 8, 8, 10, and 11, which is an increasing trend; the pitches in these 10 pronunciation trainings are The error statistics are 15, 12, 11, 10, 8, 6, 4, 2, 0, 0, which belong to a decreasing trend; the pitch error statistics of these 10 pronunciation trainings are 5, 6, 4, 6, 5, 3 , 4, 7, 5, and 5 belong to a stable trend.

The data analysis module sends the obtained analysis results to the vocal music recommendation module, and the vocal music recommendation module recommends music with different degrees of difficulty according to the analysis results of three different states. When the vocal music recommendation module receives an analysis result showing an increasing trend, it indicates that the music for training may be difficult, or the trainer may not be in a good state when training the pronunciation of the music, resulting in a worse effect with practice, then The vocal music recommendation module recommends some simple music to start training. On the one hand, the training progresses from easy to difficult according to the actual level of the trainer, which is convenient for the trainer to master. On the other hand, it can also stabilize the trainer's mentality to avoid too many mistakes. , undermined the trainer's confidence. When the vocal music recommendation module receives an analysis result that shows a decreasing trend, it means that the trainer has gradually mastered the pronunciation of this music, and can try to recommend music of a higher level than this music, and enter the music training of the next difficulty. stage, which helps to improve the trainer's ability in time. When the vocal music recommendation module receives an analysis result that shows a steady trend, it means that the trainer still needs to strengthen the music of the same difficulty level. Through the statistics of the pronunciation errors of the trainers, especially for the beginners, when a person performs vocal music training, they can know the pronunciation strength of the trainers in time, and the beginners generally do not know which music to start training from. It is not easy to choose music that is suitable for one's own training, so recommending music according to the trainer's pronunciation strength has certain guiding and planning functions.

In order to further understand the details of the trainer's pronunciation errors, the pronunciation school team module also counts the number of error statistics of each pitch separately when counting the pitch errors in pronunciation. For example, the pitch error count in one pronunciation is 5, in this 5 There are a total of 2 tones in the secondary error statistics, including the tone A and the tone B. The number of errors counted for the tone A is 3, and the number of errors for the tone B is 2. When the pronunciation school team module has counted 10 pronunciations, among the 10 pronunciations, the total number of errors of tone A is 15, the total number of errors of tone B is 5, and the number of errors of other tones is no more than 15 times. The vocal music recommendation module selects music that contains more tones A, for example, select from: music Q contains 8 tones A, music W contains 9 tones A, and music E also contains 9 tones A. Then, according to the difficulty of music Q, music W and music E, the vocal music recommendation module selects music that matches the trainer's strength, and has achieved the trainer's targeted training.

2. Video assistance for trainers

When the trainer performs vocal music training, the trainer generally requires the trainer's facial expressions to be in place. On the one hand, it helps the pronunciation to be more accurate, and on the other hand, it can fully express the emotional sound, so as to achieve the artistic sense of vocal music. When practicing pronunciation, also pay attention to whether your facial expressions are in place.

When the trainer starts training, the video tutorial corresponding to the training music can be opened through the training playback module, and the trainer can start training by imitating the video tutorial. When the video signal transceiver module finishes recording a piece of music, a training video is generated, which is the facial expression video of the trainer during pronunciation training. Then select the video tutorial referenced by the training video from the vocal music training database, and package the training video and video tutorial for storage. When the trainer needs to check whether his facial expression is in place, he can retrieve the stored training video and video. Tutorial, the training playback module can set two playback windows, and play the training video and video tutorial at the same time, and the trainer can compare and observe whether their facial expressions are in place.

In order for the trainer to know which pitch errors in his voice, so as to correct them in a targeted manner, after the pronunciation school team is completed, the pitch error statistics in the pronunciation and the error statistics of each pitch are counted, and then the The pronunciation, the music it was trained on, the error statistics, and the error statistics for each pitch are packaged and stored. When the trainer wants to know the error of his own voice, he can retrieve the packaged data. The trainer can correct the error more clearly and pertinently by listening to his own pronunciation and the corresponding music, as well as combining the relevant pitch error statistics. The place.

Third, the interaction of the exchange platform

After registering a personal account on the exchange platform, trainers can publish their own stored videos and pronunciations on the personal account. Users on the exchange platform can make suggestions or comments to the trainers after viewing the videos or listening to the pronunciations. The communication platform also provides video interaction. When the trainer is training alone, he cannot accurately correct the pitch error and needs to seek help from outsiders. The trainer and other users have a video call. The mistakes and deficiencies of the trainers are raised on the spot, so that the trainers can correct them in time.

The limitations of basic training

For the basic introduction of vocal music, trainers also need to perform some basic training before starting vocal music training, such as breathing, vocalization, and singing language exercises, which will help the trainer's subsequent vocalization training. In this embodiment, the trainer can preset 10 basic training sessions before vocalization training according to the training limitation module. Only after the trainer has completed 10 basic training sessions, the unlocking function is achieved, so that the trainer can Music can be selected for vocal training, so that trainers can be urged to perform basic training before vocal music training to ensure that trainers achieve solid basic skills.

The above are only the embodiments of the present invention, and the common knowledge such as the well-known specific structures and characteristics in the scheme has not been described too much here. Those of ordinary skill in the art know that the invention belongs to the technical field before the filing date or the priority date. Technical knowledge, can know all the prior art in this field, and have the ability to apply conventional experimental means before the date, those of ordinary skill in the art can improve and implement this scheme in combination with their own ability under the enlightenment given in this application, Some typical well-known structures or well-known methods should not be an obstacle to those skilled in the art from practicing the present application. It should be pointed out that for those skilled in the art, on the premise of not departing from the structure of the present invention, several modifications and improvements can also be made, which should also be regarded as the protection scope of the present invention, and these will not affect the implementation of the present invention. Effectiveness and utility of patents. The scope of protection claimed in this application should be based on the content of the claims, and the descriptions of the specific implementation manners in the description can be used to interpret the content of the claims.

Claims (5)

1. A vocal music training auxiliary system is characterized in that: the system comprises a server, a vocal music training database, a training playing module, a voice signal transceiving module, a pronunciation team module, a data analysis module and a vocal music recommendation module;

the server is used for coordinating modules in the whole vocal music training system to work;

the vocal music training database is used for pre-storing music required by vocal music training;

the training playing module is used for a trainer to call music from the vocal music training database and then play the called music;

the voice signal transceiving module is used for collecting the pronunciation of the trainer and transmitting the collected pronunciation to the pronunciation team module;

the pronunciation team correcting module is used for correcting the received pronunciation by taking the trained music as a reference object, performing error statistics once when the difference between the pitch in the pronunciation and the pitch in the corresponding music is corrected, and sending the error statistics result to the data analysis module after the whole pronunciation team is finished;

the data analysis module is used for comparing and analyzing error statistical results generated by multiple pronunciations of the same music training to obtain an analysis result of error frequency trend formed by multiple pronunciations of the same music training of a trainer, and sending the analysis result to the vocal music recommendation module;

the vocal music recommendation module is used for classifying the music in the vocal music training database into difficulty levels and pushing music with different difficulty degrees to a trainer for training according to an analysis result;

the pronunciation team module is also used for sending the error statistics times of each tone in multiple pronunciations of the same music training to the matching and calling module;

the matching and calling module is used for selecting the tones with more error statistics times from the error statistics times of all the received tones, and then matching the music with more occurrence times of the same tone from the vocal music recommending module according to the selected tones;

the vocal music recommending module is also used for recommending music matched by the matching and calling module to a trainer according to the degree of easy difficulty.

2. The vocal music training assistance system according to claim 1, wherein: the vocal music training database is also used for storing a video course required by vocal music training in advance, and the video course comprises a facial expression demonstration course required by pronunciation training; the training playing module is also used for calling a video course from the vocal music training database and then playing the called video course;

the device also comprises a video signal transceiving module, a matching comparison module and a storage module;

the video signal transceiving module is used for recording facial expression changes generated when a trainer pronounces, generating a training video after recording, and then sending the training video to the matching comparison module;

the matching comparison module is used for matching a video course referred by the recorded training video from the vocal music training database, and then packaging and sending the training video and the video course to the storage module;

the pronunciation team module is also used for packaging and sending the pronunciation, the music trained by pronunciation and the generated error statistics to the storage module after the pronunciation team finishes

The storage module is used for storing the packed data sent by the matching comparison module and the pronunciation queue module;

and the training playing module is also used for the trainer to call the packed data in the storage module for decompression playing.

3. The vocal music training assistance system according to claim 2, wherein: the system comprises a man-machine operation interface, an account registration module, an uploading module and an evaluation message module, and is characterized by further comprising an exchange platform, wherein the exchange platform is connected with the Internet through a server and comprises a man-machine operation interface, an account registration module, an uploading module and an evaluation message module;

the human-computer operation interface is used for inputting and displaying information and coordinating the work of each module on the communication platform;

the account registration module is used for registering the account of the user;

the uploading module is used for calling the packed data in the storage module through the server and uploading the packed data to the man-machine operation interface, so that a user of the communication platform can check or listen to the packed data;

and the evaluation message leaving module is used for evaluating and leaving messages for the uploaded packed data by the user of the communication platform.

4. A vocal training aid according to claim 3, wherein: the communication platform also comprises a request sending module and a video docking module;

the request sending module is used for sending a video request by a user on the communication platform;

and the video docking module is used for carrying out video call between users after the video request is connected.

5. The vocal music training assistance system according to claim 1, wherein: the pronunciation training system further comprises a training limiting module used for presetting basic training rules, and when a trainer needs to finish the basic training rules before beginning to train pronunciation, subsequent pronunciation training can be carried out.

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