CN112616109A - Automatic adjustment method, server and system for broadcast noise detection volume - Google Patents
Automatic adjustment method, server and system for broadcast noise detection volume Download PDFInfo
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Abstract
The invention discloses a method, a server and a system for automatically adjusting broadcast noise detection volume, wherein the method comprises the steps of presetting a reference noise value and a gain ratio; acquiring an external selection instruction, and judging whether to perform periodic noise detection, if so, executing S3, and if not, executing S4; s3: acquiring an external time instruction, generating a noise detection trigger, wherein a noise detection interval on the noise detection trigger is a fixed value, and executing S5; s4: sentence breaking is carried out on the broadcast task through a sentence breaking module, the playing time length of each sentence breaking is obtained, a noise detection trigger is generated, the noise detection interval on the noise detection trigger is an indeterminate value, and S5 is executed; s5: and the noise detection module is driven to acquire the noise value of the environment according to the noise detection interval of the noise detection trigger and send broadcast information to the broadcasting module so as to realize that the broadcasting volume of the broadcasting module is automatically adjusted along with the change of the environmental noise.
Description
Technical Field
The invention relates to the technical field of broadcasting equipment, in particular to a method, a server and a system for automatically adjusting broadcast noise detection volume.
Background
The broadcast noise detection volume adjusting system is generally applied to broadcast environments of rail transit, enterprises and public institutions and the like, and is suitable for the situation that the volume needs to be adjusted frequently due to noise. Generally, a broadcast system mostly adopts manual volume adjustment, the working intensity is high due to the complicated operation, when the noise of the environment is increased, the broadcast volume needs to be adjusted to be high, and when the noise of the environment is reduced, the broadcast volume needs to be adjusted to be low, so that the maintenance is difficult.
The existing partial broadcasting system adopts a method for detecting noise and automatically adjusting volume, but has many defects: the noise detection algorithm is fixed at the equipment end, depends on expensive equipment and devices, has small flexibility, can be adjusted in a single and unintelligent way, often cannot distinguish the sound of the broadcast, and takes the broadcast sound as noise for calculation.
Disclosure of Invention
In order to overcome the disadvantages of the prior art, an object of the present invention is to provide an automatic volume adjustment method for detecting broadcast noise, which can solve the problem in the prior art that the broadcast sound cannot be distinguished and the broadcast sound is also used as noise for calculation.
It is another object of the present invention to provide two broadcast noise detection volume automatic adjusting servers, which can solve the problem that the prior art cannot distinguish the broadcast sound itself and calculate the broadcast sound as noise.
The third objective of the present invention is to provide two automatic volume adjusting systems for detecting broadcast noise, which can solve the problem that the prior art cannot distinguish the broadcast sound itself and calculate the broadcast sound as noise.
In order to achieve one of the above purposes, the technical scheme adopted by the invention is as follows:
a broadcast noise detection volume automatic adjusting method comprises the following steps:
s1: presetting a reference noise value and a gain ratio;
s2: acquiring an external selection instruction, and judging whether to perform periodic noise detection, if so, executing S3, and if not, executing S4;
s3: acquiring an external time instruction, storing the external time instruction into the noise detection trigger to enable a noise detection interval in the noise detection trigger to be a fixed value, and executing S5;
s4: sentence breaking is carried out on the broadcast task through the sentence breaking module, the playing time length of each sentence breaking is obtained and stored in the noise detection trigger, so that the noise detection interval in the noise detection trigger is an indeterminate value, and S5 is executed;
s5: and the noise detection module is driven to acquire the noise value of the environment according to the noise detection interval of the noise detection trigger and send broadcast information to the broadcasting module.
Preferably, the broadcast information includes one or more of an audio file, text, an audio volume control file, and an audio file playlist.
Preferably, the step S5 is specifically implemented by the following steps:
s51: the noise detection module is driven to regularly acquire the noise value of the environment according to the noise detection interval in the noise detection trigger;
s52: and calculating the target volume value by adopting a formula of Y-24 + (-36+ X-A) multiplied by B + C, wherein Y is the target volume value, X is the noise value, A is the reference noise value, B is the gain ratio, and C is the original volume value, generating the broadcast information from the target volume value, and sending the broadcast information to the broadcasting module.
Preferably, the broadcast tasks include voice playing and music playing.
Preferably, the step S4 is specifically implemented by the following steps:
s41: judging whether the broadcast task belongs to voice playing, if so, only S42 is needed; if not, go to S43;
s42: sentence breaking is carried out through the sentence breaking module according to the text played by the voice, the playing duration of each sentence breaking is stored in the noise detection trigger, and S5 is executed;
s43: and judging whether the lyric time table exists in the music playing, if so, performing sentence breaking through the sentence breaking module according to the lyric time table, storing the playing time length of each sentence breaking into the noise detection trigger, and executing S5, otherwise, storing the playing time length of each music into the noise detection trigger, and executing S5.
Preferably, the sentence-breaking module comprises a TTS speech synthesis component.
Preferably, the step S42 is specifically implemented by the following steps:
s421: performing sentence breaking on the text according to punctuation marks of the text by a TTS (text to speech) speech synthesis component, and generating a plurality of audio files;
s422: the playing time length of the audio file is stored in the noise detection trigger to form a noise value detection interval, and S5 is executed.
In order to achieve the second purpose, the technical scheme adopted by the invention is as follows:
a broadcast noise detection volume automatic adjustment server comprises a storage and a processor;
a memory for storing program instructions;
and the processor is used for operating the program instructions to execute the broadcast noise detection volume automatic adjusting method.
In order to achieve the third purpose, the technical scheme adopted by the invention is as follows:
the utility model provides a broadcast noise detection volume automatic regulating system, includes noise detection module, sentence break module, broadcast module and foretell broadcast noise detection volume automatic regulating server, noise detection module, sentence break module, broadcast module all are connected with broadcast noise detection volume automatic regulating server.
Preferably, the sentence segmentation module comprises a TTS speech synthesis component, and the TTS speech synthesis component is connected with the broadcast noise detection volume automatic adjustment server
Compared with the prior art, the invention has the beneficial effects that: presetting a reference noise value and a gain ratio, setting a noise detection mode, if the noise detection mode is to perform noise detection periodically, storing the reference noise value and the gain ratio into a noise detection trigger according to a set time to enable a noise detection interval in the noise detection trigger to be a fixed value, if the noise detection mode is to perform noise detection irregularly, performing sentence interruption on a broadcast task through a sentence interruption module to obtain a playing time length of each sentence interruption, storing the playing time length into the noise detection trigger to enable the noise detection interval in the noise detection trigger to be an indefinite value, driving a noise detection module to obtain a noise value of an environment according to the noise detection interval in the noise detection trigger, and sending broadcast information to a broadcast module, namely the detection time of the noise detection module is staggered with the broadcast time of the broadcast module to enable the broadcast sound value of the broadcast module to be distinguished in the detection process of the noise value, the playing volume of the playing module is automatically adjusted along with the change of the environmental noise.
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Fig. 1 is a flowchart of a method for automatically adjusting broadcast noise detection volume according to the present invention.
Fig. 2 is a schematic structural diagram of the broadcast noise detection volume automatic adjustment server according to the present invention.
Fig. 3 is a schematic structural diagram of the system for automatically adjusting the volume of broadcast noise detection according to the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
The invention will be further described with reference to the accompanying drawings and the detailed description below:
in the invention, the noise detection module comprises a noise detection detector for detecting the noise of the external environment, the noise detection detector is connected with a noise detection probe, the broadcasting module comprises a loudspeaker or a loudspeaker and other broadcasting equipment for broadcasting audio, the sentence interruption module comprises a TTS (text to speech) synthesis component for identifying the characters on the character text and converting the characters into an audio file or other components capable of identifying the characters on the character text and punctuation coincidence, the noise detection trigger comprises a noise detection interval for triggering the noise detection module to detect the noise value, and the noise detection trigger, the noise detection detector, the loudspeaker, the TTS speech synthesis component and the like are all connected with a server.
The first embodiment is as follows:
as shown in fig. 1, an automatic volume adjustment method for broadcast noise detection includes the following steps:
s1: presetting a reference noise value and a gain ratio;
specifically, before the broadcasting module broadcasts, the volume of the broadcast needs to be pre-adjusted according to the noise value of the current environment, that is, an audio volume control file is formed, and then the broadcast information composed of the audio file and the audio volume control file is sent to the broadcasting module, so that the broadcasting module enters a broadcasting state; preferably, the broadcast information includes one or more of an audio file, a text, an audio volume control file, and an audio file playlist; in this embodiment, the reference noise value is a noise value collected by the noise detector in a normal environment, and the value range of the reference noise value is 55dB to 90 dB; the setting of the reference noise value is completed by storing the reference noise value in the server in advance, and simultaneously, a gain ratio of the noise value to the sound volume is set in the server, wherein the gain ratio is a constant in general, and specifically, when the noise value is increased by n, the sound volume needs to be increased by a gain ratio x n (in general, the gain ratio can be set to 1/2, 1, 2, and the like (depending on factors such as broadcasting places and broadcasting time periods), and when the gain ratio is 2, the noise is increased by 3dB, the sound is increased by 6dB),
s2: acquiring an external selection instruction, and judging whether to perform periodic noise detection, if so, executing S3, and if not, executing S4;
specifically, the user is reminded through modes such as a human-computer interaction interface or voice reminding, a noise detection mode is set, wherein the noise detection mode comprises periodic checking and voice broadcasting gap detection, when the user inputs a selection instruction, S3 is executed when the user performs periodic noise detection, the periodic time is set, when the user inputs the selection instruction, S4 is executed when the user performs voice broadcasting gap detection, and the voice broadcasting gap is set.
S3: acquiring an external time instruction, storing the external time instruction into the noise detection trigger to enable a noise detection interval in the noise detection trigger to be a fixed value, and executing S5;
specifically, the user is prompted through a human-computer interface or a voice prompt, the detection time is set, for example, the user sets noise detection every 5 minutes, the server stores the instruction to the noise detection trigger so that the noise detection interval on the noise detection trigger is a fixed value (i.e., 5 minutes), and then S5 is executed to adjust the volume.
S4: sentence breaking is carried out on the broadcast task through the sentence breaking module, the playing time length of each sentence breaking is obtained, the playing time length is stored to the noise detection trigger, so that the noise detection interval in the noise detection trigger is an indeterminate value, and S5 is executed;
specifically, sentence breaking is performed on the broadcast task through the sentence breaking module, preferably, sentence breaking is performed on the broadcast task in segments according to punctuation marks or sentences on a text of the broadcast task, then the playing time of each sentence breaking is stored in the noise detection trigger, the noise value detection interval is updated, the noise value detection interval stored in the noise detection trigger is the playing time of each sentence breaking, the playing time of each sentence breaking is different, the playing time of the noise value detection interval in the noise detection trigger is different, and the noise detection module can be regarded as acquiring the noise value of the environment irregularly, namely, the noise detection module performs noise value detection between two adjacent sentences in front and back so as to realize noise value detection in voice broadcast gap detection. Preferably, the broadcast task includes a voice broadcast and a music broadcast, so that the S4 is specifically implemented by the following steps:
s41: judging whether the broadcast task belongs to voice playing, if so, only S42 is needed; if not, go to S43;
specifically, according to a specific broadcast task, it is determined that the current broadcast task belongs to voice playing or music playing, and further, the type of the broadcast task can be determined by directly inputting a broadcast task instruction by a user.
S42: sentence breaking is carried out through the sentence breaking module according to the text played by the voice, the playing duration of each sentence breaking is stored in the noise detection trigger, and S5 is executed;
specifically, when the broadcast task is voice playing, the sentence breaking module is used for carrying out sentence breaking according to punctuation marks or sentence segments on the text played by voice, and then the playing duration of each sentence breaking is stored in the noise detection trigger. Preferably, the step S42 is specifically implemented by the following steps:
s421: performing sentence breaking on the text according to punctuation marks of the text by a TTS (text to speech) speech synthesis component, and generating a plurality of audio files;
specifically, the text and punctuation marks on the text are read by the TTS speech synthesis component, then the TTS speech synthesis component converts the text between adjacent punctuation marks into an audio file according to the punctuation marks, and the audio file is sequentially arranged according to the sequence of the text segments and sent to the broadcasting module, so that the broadcasting module sequentially broadcasts the audio file.
S422: storing the playing time length of the audio file to a noise detection trigger to form a noise value detection interval, and executing S5;
specifically, after the TTS speech synthesis component converts the text of the text into an audio file, the playing duration of the text is recorded, the playing duration of the audio file is stored in the noise detection trigger, a noise value detection interval corresponding to the playing duration of the audio file is generated, so that the noise value detection interval stored in the noise detection trigger is substantially the playing duration of each audio file, and then S5 is executed.
S43: and judging whether the lyric time table exists in the music playing, if so, performing sentence breaking through the sentence breaking module according to the lyric time table, storing the playing time length of each sentence breaking into the noise detection trigger, and executing S5, otherwise, storing the playing time length of each music into the noise detection trigger, and executing S5.
Specifically, when the broadcast task is music playing, it is first determined whether the music playing belongs to pure music or music with a lyric time table, if the music playing belongs to music with a lyric time table, a sentence break module is used to break the lyrics on the lyric time table, i.e., the lyrics in the lyric time table are segmented into sentences according to punctuation marks or sentences, and then the playing duration of each sentence break is stored in a noise detection trigger to generate a noise value detection interval corresponding to the playing duration of each sentence break, and at this time, the noise value detection interval stored in the noise detection trigger is the playing duration of each sentence break, and then S5 is executed; if the pure music is played, recording the playing time length of the pure music, storing the playing time length of the audio file into the noise detection trigger, and generating a noise value detection interval corresponding to the playing time length of the pure music, so that the noise value detection interval stored in the noise detection trigger is substantially the playing time length of each audio file.
Furthermore, the broadcast module can be different from the electric signal generated when the broadcast module generates sound to the outside, the change of the electric signal of the broadcast module can be detected to judge whether the current time of the broadcast module is in the broadcast state, and when the current time of the broadcast module is not in the broadcast state, the detection of the noise value is triggered.
S5: and the noise detection module is driven to acquire the noise value of the environment according to the noise detection interval of the noise detection trigger and send broadcast information to the broadcasting module. Preferably, the broadcast information includes one or more of an audio file, text, an audio volume control file, and an audio file playlist. In this embodiment, the step S5 is specifically implemented by the following steps:
s51: the noise detection module is driven to regularly acquire the noise value of the environment according to the noise detection interval in the noise detection trigger;
specifically, a noise detection detector in a noise detection module is driven to operate according to a noise value detection interval stored in a noise detection trigger, so that the noise detection detector detects the noise of the current environment in the broadcasting interval to obtain a noise value; in this embodiment, a plurality of noise detectors are distributed and arranged in a broadcast place, and the server records the noise value currently detected by each noise detector, and then takes the middle value as the noise value of the current environment.
S52: and calculating the target volume value by adopting a formula of Y-24 + (-36+ X-A) multiplied by B + C, wherein Y is the target volume value, X is the noise value, A is the reference noise value, B is the gain ratio, and C is the original volume value, generating the broadcast information from the target volume value, and sending the broadcast information to the broadcasting module.
Specifically, the reference noise value, the gain ratio, and the noise value are substituted into a formula Y ═ 24+ (-36+ X-a) × B + C, and the magnitude of the target volume value is calculated, where Y is the target volume value, X is the noise value, a is the reference noise value, B is the gain ratio, C is the original volume value (which may be 0 or the target volume value obtained by the previous volume adjustment), and in the initial stage, the original volume value is 0, so Y ═ 24+ (-36+ X-a) × B, where Y is the target volume value in the initial state; in addition, the gain ratio is a constant, specifically, when the noise value increases by n, the volume needs to be increased by "gain ratio x n" (generally, the gain ratio can be set to 1/2, 1, 2, etc. (specifically, the gain ratio depends on factors such as broadcasting place and broadcasting time period), when the gain ratio is 2, the noise increases by 3dB, the sound increases by 6dB), so as to calculate the target volume value suitable for the current environment, and then adjust the volume of the broadcasting module, thereby realizing that the volume of the broadcasting module can be adjusted according to the real-time noise value of the environment.
Example two:
as shown in fig. 2, a broadcast noise detection volume automatic adjustment server includes a storage and a processor;
a memory for storing program instructions;
a processor for executing the program instructions to perform the broadcast noise detection volume automatic adjustment method as described in the implementation of one embodiment.
Example three:
as shown in fig. 3, an automatic volume adjustment system for broadcast noise detection includes a noise detection module, a sentence break module, a broadcast module, and a broadcast noise detection volume automatic adjustment server, where the noise detection module, the sentence break module, and the broadcast module are all connected to the broadcast noise detection volume automatic adjustment server.
Preferably, the sentence segmentation module comprises a TTS speech synthesis component, and the TTS speech synthesis component is connected with the broadcast noise detection volume automatic adjustment server.
Various other modifications and changes may be made by those skilled in the art based on the above-described technical solutions and concepts, and all such modifications and changes should fall within the scope of the claims of the present invention.
Claims (10)
1. A broadcast noise detection volume automatic regulation method is characterized in that: the method comprises the following steps:
s1: presetting a reference noise value and a gain ratio;
s2: acquiring an external selection instruction, and judging whether to perform periodic noise detection, if so, executing S3, and if not, executing S4;
s3: acquiring an external time instruction, storing the external time instruction into the noise detection trigger to enable a noise detection interval in the noise detection trigger to be a fixed value, and executing S5;
s4: sentence breaking is carried out on the broadcast task through the sentence breaking module, the playing time length of each sentence breaking is obtained, the playing time length is stored to the noise detection trigger, so that the noise detection interval in the noise detection trigger is an indeterminate value, and S5 is executed;
s5: and driving the noise detection module to acquire the noise value of the environment according to the noise detection interval in the noise detection trigger, and sending broadcast information to the broadcasting module.
2. The broadcast noise detection volume automatic adjustment method of claim 1, wherein: the broadcast information includes one or more of an audio file, text, an audio volume control file, and an audio file playlist.
3. The broadcast noise detection volume automatic adjustment method of claim 1, wherein: the S5 is specifically realized by the following steps:
s51: the noise detection module is driven to regularly acquire the noise value of the environment according to the noise detection interval in the noise detection trigger;
s52: and calculating the target volume value by adopting a formula of Y-24 + (-36+ X-A) multiplied by B + C, wherein Y is the target volume value, X is the noise value, A is the reference noise value, B is the gain ratio, and C is the original volume value, generating the broadcast information from the target volume value, and sending the broadcast information to the broadcasting module.
4. The broadcast noise detection volume automatic adjustment method of claim 1, wherein: the broadcasting tasks include voice playing and music playing.
5. The broadcast noise detection volume automatic adjustment method of claim 4, wherein: the S4 is specifically realized by the following steps:
s41: judging whether the broadcast task belongs to voice playing, if so, only S42 is needed; if not, go to S43;
s42: sentence breaking is carried out through the sentence breaking module according to the text played by the voice, the playing duration of each sentence breaking is stored in the noise detection trigger, and S5 is executed;
s43: and judging whether the lyric time table exists in the music playing, if so, performing sentence breaking through the sentence breaking module according to the lyric time table, storing the playing time length of each sentence breaking into the noise detection trigger, and executing S5, otherwise, storing the playing time length of each music into the noise detection trigger, and executing S5.
6. The broadcast noise detection volume automatic adjustment method of claim 5, wherein: the sentence-breaking module comprises a TTS speech synthesis component.
7. The broadcast noise detection volume automatic adjustment method of claim 6, wherein: the S42 is specifically realized by the following steps:
s421: performing sentence breaking on the text according to punctuation marks of the text by a TTS (text to speech) speech synthesis component, and generating a plurality of audio files;
s422: the playing time length of the audio file is stored in the noise detection trigger to form a noise value detection interval, and S5 is executed.
8. A broadcast noise detection volume automatic adjustment server is characterized in that: comprises a storage and a processor;
a memory for storing program instructions;
a processor for executing the program instructions to perform the broadcast noise detection volume automatic adjustment method of any one of claims 1 to 7.
9. A broadcast noise detection volume automatic regulating system is characterized in that: the system comprises a noise detection module, a sentence-breaking module, a broadcasting module and the automatic broadcast noise detection volume adjusting server as claimed in claim 8, wherein the noise detection module, the sentence-breaking module and the broadcasting module are all connected with the automatic broadcast noise detection volume adjusting server.
10. The broadcast noise detection volume automatic adjustment system of claim 9, wherein: the sentence-breaking module comprises a TTS voice synthesis component, and the TTS voice synthesis component is connected with the broadcast noise detection volume automatic adjustment server.
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| CN107276550A (en) * | 2017-06-20 | 2017-10-20 | 北京贝能达信息技术股份有限公司 | The power amplifier and control method controlled with noise measuring and volume |
| CN107770681A (en) * | 2017-11-23 | 2018-03-06 | 华中师范大学 | Adaptive volume controller and its method for controlling volume |
| CN108632711A (en) * | 2018-06-11 | 2018-10-09 | 广州大学 | Sound reinforcement system gain-adaptive control method |
| CN208691563U (en) * | 2018-08-16 | 2019-04-02 | 广州大学 | Sound reinforcement system gain-adaptive control system |
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