CN113257256A - Voice processing method, conference all-in-one machine, system and storage medium - Google Patents
Voice processing method, conference all-in-one machine, system and storage medium Download PDFInfo
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- CN113257256A CN113257256A CN202110793618.8A CN202110793618A CN113257256A CN 113257256 A CN113257256 A CN 113257256A CN 202110793618 A CN202110793618 A CN 202110793618A CN 113257256 A CN113257256 A CN 113257256A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L65/00—Network arrangements, protocols or services for supporting real-time applications in data packet communication
- H04L65/40—Support for services or applications
- H04L65/403—Arrangements for multi-party communication, e.g. for conferences
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L65/00—Network arrangements, protocols or services for supporting real-time applications in data packet communication
- H04L65/60—Network streaming of media packets
- H04L65/75—Media network packet handling
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L65/00—Network arrangements, protocols or services for supporting real-time applications in data packet communication
- H04L65/80—Responding to QoS
Abstract
The invention discloses a voice processing method, an intelligent conference all-in-one machine, a system and a storage medium, which comprise the following steps: step S1, connecting a plurality of conference terminals in a preset mode to obtain voice signals of the conference terminals; the voice signal is collected through a conference terminal; step S2, the voice signals are linearly and successively superposed according to the time sequence, and the latest reverberation value is obtained by each superposition; judging whether the latest reverberation value is within a preset range, and if the latest reverberation value is within the preset range, executing step S3; if the latest mixed sound value is not within the preset range, adjusting the compression weight of the voice signal until the latest mixed sound value is within the preset range, and executing step S3; and step S3, outputting the latest mixing value to the conference terminal. The invention can reduce the calculation pressure of the voice signal, improve the communication effect of the intelligent conference and meet the requirements of the intelligent conference.
Description
Technical Field
The invention relates to the technical field of voice processing, in particular to a voice processing method, a conference all-in-one machine, a conference system and a storage medium.
Background
With the development of communication technology, conference patterns of enterprises are changing. The intelligent conference with multiple functions is developed from the original face-to-face traditional mode. The intelligent conference breaks through the limitation between the fields, realizes remote communication anytime and anywhere, has strong specialty, can provide stable audio/video transmission, optimizes the information communication mode of enterprises, and improves the internal communication efficiency of staff.
The current intelligent conference is generally that one conference host communicates with the rest conference terminals. In the intelligent conference holding process, a plurality of conference terminals need to speak, a conference host and the conference terminals establish network connection, and the sound of each conference terminal is received. However, the existing conference host has a poor sound collection effect and a poor sound noise reduction effect, and meeting requirements are difficult to meet.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention aims to provide a voice processing method to improve the communication effect of an intelligent conference.
The second purpose of the present invention is to provide an intelligent conference all-in-one machine, which executes the above-mentioned voice processing method, connects with a plurality of conference terminals, and synthesizes the sound of the plurality of conference terminals, thereby improving the communication effect of the intelligent conference.
The invention also aims to provide an intelligent conference system which comprises a conference host and a plurality of conference terminals, wherein the conference host collects and synthesizes the sound of the plurality of conference terminals, so that the communication effect of the intelligent conference is improved.
It is a fourth object of the present invention to provide a computer-readable storage medium, which executes the above-mentioned voice processing method, connects with a plurality of conference terminals, and synthesizes the sound of the plurality of conference terminals, so as to improve the communication effect of the intelligent conference.
One of the purposes of the invention is realized by adopting the following technical scheme:
a voice processing method is applied to an intelligent conference all-in-one machine, and comprises the following steps:
step S1, connecting a plurality of conference terminals in a preset mode to obtain voice signals of the conference terminals; the voice signal is collected through a conference terminal;
step S2, the voice signals are linearly and successively superposed according to the time sequence, and the latest reverberation value is obtained by each superposition; judging whether the latest reverberation value is within a preset range, and if the latest reverberation value is within the preset range, executing step S3; if the latest mixed sound value is not within the preset range, adjusting the compression weight of the voice signal until the latest mixed sound value is within the preset range, and executing step S3;
step S3, outputting the latest mixing value to a conference terminal;
the adjusting the compression weight of the speech signal in the step S2 includes the steps of:
step S21, judging whether the number of the connected conference terminals exceeds a threshold value, if not, adjusting the compression weight by an average adjustment weight method; if the compression weight exceeds the threshold value, adjusting the compression weight by a mute detection energy method; the average adjusting weight method adjusts the compression weight by the following formula:
wherein M is the number of connected conference terminals, t is time, and i and j are the sequence of the voice signals;
the mixing weights of other M-1 paths except for t time,
the overall mixing weight.
Further, the step S21 indicates the compression weight by a silence detection energy method, which specifically includes:
acquiring the intensity of the voice signal, compressing the voice signal in a first intensity range in the voice signal by adopting a first compression ratio, and compressing the voice signal in a second intensity range by adopting a second compression ratio;
arranging the compressed voice signals according to the sequence of the intensity from large to small, selecting the voice signals with the first three intensities and adjusting the compression weight by an average weight adjusting method.
Further, the first intensity range is larger than the second intensity range, and the first compression ratio is larger than the second compression ratio.
Further, the step S1 further includes the following steps:
step S11, preprocessing the voice signal and judging whether the voice signal is an effective signal; if the voice signal is a valid signal, executing step S2; and if the voice signal is not a valid signal, filtering the voice signal.
Further, the preset manner in step S1 includes receiving a connection request initiated by the conference terminal or sending a connection request to the conference terminal through the two-dimensional code.
The second purpose of the invention is realized by adopting the following technical scheme:
an intelligent integrated conference machine comprises a plurality of processors, a memory and a computer program which is stored on the memory and can run on the processor, wherein the plurality of processors realize the voice processing method when executing the computer program.
The third purpose of the invention is realized by adopting the following technical scheme:
an intelligent conference system comprises the intelligent conference all-in-one machine and a plurality of conference terminals, wherein the intelligent conference all-in-one machine is connected with the conference terminals.
The fourth purpose of the invention is realized by adopting the following technical scheme:
a computer readable storage medium having stored thereon a computer program which, when executed, implements a speech processing method as claimed in any one of the preceding claims.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a voice processing method, an intelligent conference all-in-one machine, an intelligent conference system and a computer readable storage medium, wherein voice signals acquired by a conference terminal are acquired, the voice signals are linearly and successively superposed according to a time sequence, a latest mixed sound value is obtained by superposition each time, the compression weight of the voice signals is compressed until the latest mixed sound value is in a preset range, and then the voice signals are played by the conference terminal, so that the calculation pressure of the voice signals is reduced, the communication effect of the intelligent conference is improved, and the requirements of the intelligent conference are met.
Drawings
Fig. 1 is a schematic flow chart of a first embodiment of the present invention.
Detailed Description
The present invention will be further described with reference to the accompanying drawings and the detailed description, and it should be noted that any combination of the embodiments or technical features described below can be used to form a new embodiment without conflict.
Example one
As shown in fig. 1, the present application provides a speech processing method, which can effectively improve the noise reduction effect of sound in a conference process, and meet conference requirements.
Specifically, the method is applied to an intelligent conference all-in-one machine, and comprises the following steps:
step S1, connecting a plurality of conference terminals in a preset mode to obtain voice signals of the conference terminals; the voice signal is a signal collected by the conference terminal. Before the intelligent conference starts, all conference terminals needing to participate in the conference need to be connected with the intelligent conference all-in-one machine. The preset connection mode can be that the conference terminal directly searches the intelligent conference all-in-one machine and sends out a connection request, or the intelligent conference all-in-one machine generates a two-dimension code and sends the two-dimension code to the conference terminal, and the conference terminal directly scans for participation in a meeting.
During the participation process, each conference terminal can speak. When the number of the conference terminals participating in the conference is large, the intelligent conference all-in-one machine can control the speaking permission of the conference terminals so as to better manage the intelligent conference. The intelligent conference all-in-one machine acquires the voice signal of the conference terminal, and the voice signal is acquired through the voice acquisition module of the conference terminal, converted into an electric signal after being acquired, transmitted to the intelligent conference all-in-one machine through network communication, and noise generated in the acquisition process is reduced.
Step S11, preprocessing the voice signal and judging whether the voice signal is an effective signal; if the voice signal is a valid signal, executing step S2; and if the voice signal is not a valid voice signal, filtering the voice signal. The preprocessing comprises steps of noise reduction, amplification and the like, and the voice signals are preliminarily processed, so that subsequent judgment can be better carried out. And judging whether the voice signal is an effective signal or not, namely judging whether the amplitude of the voice signal is the same or not, if so, representing that the voice signal is a noise and is not an effective signal for the user to speak, and filtering the voice signal. If the amplitudes of the voice signals are different, the voice signals are valid signals, and step S2 is executed.
Step S2, the voice signals are linearly and successively superposed according to the time sequence, and the latest reverberation value is obtained by each superposition; judging whether the latest reverberation value is within a preset range, and if the latest reverberation value is within the preset range, executing step S3; if the latest mixed sound value is not within the preset range, adjusting the compression weight of the voice signal until the latest mixed sound value is within the preset range, and executing step S3;
the intelligent conference all-in-one machine is connected with the number of conference terminals with speaking authority, and along with the continuous increase of the number of the conference terminals, the probability that the latest mixing value exceeds a preset range is increased. Data overflowing the preset range exceeds the quantifiable range, characteristic parameters of voice signals are damaged, voice quality is sharply reduced, voice in the overflowing state cannot be recognized, and only noise can be heard. Therefore, it is first determined whether the latest reverberation value exceeds the predetermined range, and if not, step S3 can be directly performed. And if the audio signal compression weight exceeds the preset range, adjusting the compression weight of the audio signal until the latest audio mixing value is in the preset range.
Specifically, the adjusting the compression weight of the voice signal includes the following steps:
step S21, judging whether the number of the connected conference terminals exceeds a threshold value, if not, adjusting the compression weight by an average adjustment weight method; and if the compression weight exceeds the first threshold value, adjusting the compression weight by a mute detection energy method. Specifically, the threshold is 3. When the number of the connected conference terminals is not more than 3, the compression weight can be directly adjusted by an average weight adjusting method.
The average adjustment method is to take the latest reverberation value, and the compression weight function of the latest reverberation value is as follows:
wherein M is the number of connected conference terminals, t is time, i and j are the sequence of the voice signals,
the mixing weights of other M-1 paths except for t time,
the overall mixing weight.
And when the number of the connected conference terminals exceeds 3, adjusting the compression weight by the silence detection energy method. Firstly, the influence of volume transformer conference is reduced by a non-uniform waveform contraction algorithm. This is based on the fact that in speech signals, the probability of high-strength signals is low and the probability of medium-low strength signals is high. In the latest reverberation value, a high-intensity signal is compressed by using a larger compression ratio, a medium-low intensity signal is compressed by using a smaller compression ratio, a voice signal in a first intensity range in the voice signal is compressed by using a first compression ratio, a voice signal in a second intensity range in the voice signal is compressed by using a second compression ratio, the first intensity range is larger than the second intensity range, and the first compression ratio is larger than the second compression ratio. Therefore, the latest mixing value is within a preset range, voice signals with different strengths are ensured to have certain identifiability, and influence of volume change on a conference is avoided.
Secondly, arranging the intensity of the compressed voice signals according to a descending order, selecting the voice signals corresponding to the conference terminals with the first three intensity orders for sound mixing, adjusting the compression weight by an average adjustment weight method, and selecting mute processing for the voice signals of other conference terminals, so that the calculation pressure of the intelligent conference all-in-one machine is reduced, and the intelligent conference all-in-one machine can be applied to large-scale conferences.
And step S3, outputting the latest mixed sound value to the conference terminal, and decoding and playing by the conference terminal.
The method comprises the steps of acquiring voice signals acquired by a conference terminal, linearly and successively superposing the voice signals according to a time sequence, obtaining a latest mixed sound value after superposition each time, compressing the compression weight of the voice signals until the latest mixed sound value is within a preset range, and playing the voice signals by the conference terminal, so that the communication effect of an intelligent conference is improved, and the requirements of the intelligent conference are met.
Example two
The application also provides an intelligent conference all-in-one machine, including: the system comprises a plurality of processors, a memory and a computer program which is stored on the memory and can run on the processor, wherein the processors realize a voice processing method of the embodiment one when executing the computer program.
EXAMPLE III
The embodiment also provides an intelligent conference system, which comprises the intelligent conference all-in-one machine and a plurality of conference terminals, wherein the conference terminals are connected with the intelligent conference all-in-one machine. The conference terminal is provided with a sound acquisition module for acquiring voice signals. And the conference terminal sends the acquired voice signal to the intelligent conference all-in-one machine, and the intelligent conference all-in-one machine processes the voice signal and transmits the voice signal to the conference terminal for playing.
Example four
The embodiment of the present invention further provides a computer-readable storage medium, where the storage medium stores computer-executable instructions, and the computer-executable instructions can execute a voice processing method described in the first embodiment. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a hard disk (hard disk Drive, abbreviated as HDD), a Solid State Drive (SSD), or the like; the storage medium may also comprise a combination of memories of the kind described above.
It should be noted that the above-mentioned numbers of the embodiments of the present invention are merely for description, and do not represent the merits of the embodiments. And the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, apparatus, article, or method. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, apparatus, article, or method that comprises the element.
The device and the storage medium in this embodiment are based on two aspects of the same inventive concept, and the method implementation process has been described in detail in the foregoing, so that those skilled in the art can clearly understand the structure and implementation process of the system in this embodiment according to the foregoing description, and for the sake of brevity of the description, details are not repeated here.
The above embodiments are only preferred embodiments of the present invention, and the protection scope of the present invention is not limited thereby, and any insubstantial changes and substitutions made by those skilled in the art based on the present invention are within the protection scope of the present invention.
Claims (8)
1. A voice processing method is characterized by being applied to an intelligent conference all-in-one machine, and comprises the following steps:
step S1, connecting a plurality of conference terminals in a preset mode to obtain voice signals of the conference terminals; the voice signal is collected through a conference terminal;
step S2, the voice signals are linearly and successively superposed according to the time sequence, and the latest reverberation value is obtained by each superposition; judging whether the latest reverberation value is within a preset range, and if the latest reverberation value is within the preset range, executing step S3; if the latest mixed sound value is not within the preset range, adjusting the compression weight of the voice signal until the latest mixed sound value is within the preset range, and executing step S3;
step S3, outputting the latest mixing value to a conference terminal;
the adjusting the compression weight of the speech signal in the step S2 includes the steps of:
step S21, judging whether the number of the connected conference terminals exceeds a threshold value, if not, adjusting the compression weight by an average adjustment weight method; if the compression weight exceeds the threshold value, adjusting the compression weight by a mute detection energy method; the average adjustment weight method adjusts the compression weight by the following formula:
wherein M is the number of connected conference terminals, t is time, i and j are the sequence of the voice signals,
the mixing weights of other M-1 paths except for t time,
the overall mixing weight.
2. The speech processing method according to claim 1, wherein said step S21 of adjusting the compression weight by a silence detection energy method specifically comprises:
acquiring the intensity of the voice signal, compressing the voice signal in a first intensity range in the voice signal by adopting a first compression ratio, and compressing the voice signal in a second intensity range by adopting a second compression ratio;
arranging the compressed voice signals according to the sequence of the intensity from large to small, selecting the voice signals with the first three intensities and adjusting the compression weight by an average weight adjusting method.
3. A speech processing method according to claim 2, wherein said first intensity range is greater than said second intensity range, and said first compression ratio is greater than said second compression ratio.
4. A speech processing method according to claim 3, wherein said step S1 further comprises the steps of:
step S11, preprocessing the voice signal and judging whether the voice signal is an effective signal; if the voice signal is a valid signal, executing step S2; and if the voice signal is not a valid signal, filtering the voice signal.
5. The speech processing method according to claim 4, wherein the preset manner in step S1 includes receiving a connection request initiated by the conference terminal or sending a connection request to the conference terminal through a two-dimensional code.
6. An intelligent integrated conference machine, comprising a plurality of processors, a memory and a computer program stored in the memory and capable of running on the processors, wherein the processors implement a speech processing method according to any one of claims 1 to 5 when executing the computer program.
7. An intelligent conference system, comprising the intelligent integrated conference machine and a plurality of conference terminals as claimed in claim 6, wherein the intelligent integrated conference machine is connected with the conference terminals.
8. A computer-readable storage medium, having stored thereon a computer program which, when executed, implements a speech processing method according to any one of claims 1 to 5.
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Application publication date: 20210813 |