CN107039044B - Voice signal processing method and mobile terminal - Google Patents
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Abstract
The embodiment of the invention provides a voice signal processing method and a mobile terminal, wherein the method comprises the following steps: analyzing a current voice signal by using a signal spectrum analyzer to obtain a high-frequency signal, a medium-frequency signal and a low-frequency signal in the current voice signal; calculating the energy ratio among the high-frequency signal, the intermediate-frequency signal and the low-frequency signal to obtain a: b: c, wherein a, b and c are integers which are all greater than 0; according to the a: b: c and a preset energy ratio A: b: c, determining the a: b: c and the A: b: mapping parameters between C; and configuring a self-adaptive filter according to the mapping parameters, and carrying out filtering processing on the current voice signal according to the configured self-adaptive filter to obtain an output signal. The embodiment of the invention can improve the definition of the voice signal in the conversation process.
Description
Technical Field
The invention relates to the technical field of communication, in particular to a voice signal processing method and a mobile terminal.
Background
In the prior art, a frequency response of voice signal processing of a mobile terminal (such as a mobile phone, a tablet computer, etc.) is fixed, and a fixed frequency response curve is obtained through a fixed standard voice test signal.
Disclosure of Invention
The embodiment of the invention provides a voice signal processing method and a mobile terminal, which can improve the definition of a voice signal in a call process.
A first aspect of an embodiment of the present invention provides a speech signal processing method, including:
analyzing a current voice signal by using a signal spectrum analyzer to obtain a high-frequency signal, a medium-frequency signal and a low-frequency signal in the current voice signal;
calculating the energy ratio among the high-frequency signal, the intermediate-frequency signal and the low-frequency signal to obtain a: b: c, wherein a, b and c are integers which are all greater than 0;
according to the a: b: c and a preset energy ratio A: b: c, determining the a: b: c and the A: b: mapping parameters between C;
and configuring a self-adaptive filter according to the mapping parameters, and carrying out filtering processing on the current voice signal according to the configured self-adaptive filter to obtain an output signal.
A second aspect of an embodiment of the present invention provides a mobile terminal, including:
the first processing unit is used for analyzing the current voice signal by using a signal spectrum analyzer to obtain a high-frequency signal, a medium-frequency signal and a low-frequency signal in the current voice signal;
a calculating unit, configured to calculate an energy ratio between the high-frequency signal, the intermediate-frequency signal, and the low-frequency signal, to obtain a: b: c, wherein a, b and c are integers which are all greater than 0;
a determining unit configured to determine, according to the a: b: c and a preset energy ratio A: b: c, determining the a: b: c and the A: b: mapping parameters between C;
and the second processing unit is used for configuring a self-adaptive filter according to the mapping parameters and carrying out filtering processing on the current voice signal according to the configured self-adaptive filter to obtain an output signal.
A third aspect of the embodiments of the present invention provides a mobile terminal, including:
a processor and a memory; wherein the processor performs some or all of the steps of the method described in the first aspect by calling code or instructions in the memory.
The embodiment of the invention has the following beneficial effects:
according to the embodiment of the invention, a signal spectrum analyzer is used for analyzing the current voice signal to obtain a high-frequency signal, an intermediate-frequency signal and a low-frequency signal in the current voice signal, the energy ratio among the high-frequency signal, the intermediate-frequency signal and the low-frequency signal is calculated to obtain a: b: c, a, b and c are all integers greater than 0, according to a: b: c and a preset energy ratio A: b: c, determining a: b: c and A: b: and C, configuring the self-adaptive filter according to the mapping parameters, and carrying out filtering processing on the current voice signal according to the configured self-adaptive filter to obtain an output signal. Therefore, the current voice signal processing approaches to an ideal signal, and the definition of the voice signal in the voice call process can be improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart illustrating a speech signal processing method according to a first embodiment of the present invention;
fig. 2 is a flowchart illustrating a speech signal processing method according to a second embodiment of the present invention;
fig. 3a is a schematic structural diagram of a mobile terminal according to a first embodiment of the present invention;
FIG. 3b is a schematic structural diagram of a computing unit of the mobile terminal depicted in FIG. 3a according to an embodiment of the present invention;
fig. 3c is a schematic structural diagram of a determining unit of the mobile terminal depicted in fig. 3a according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a mobile terminal according to a second embodiment of the present invention.
Fig. 5 is a schematic structural diagram of a mobile terminal according to a third embodiment of the present invention.
Fig. 6 is a schematic structural diagram of a mobile phone according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," "third," and "fourth," etc. in the description and claims of the invention and in the accompanying drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The mobile terminal described in the embodiment of the present invention may include a smart Phone (such as an Android Phone, an iOS Phone, a Windows Phone, etc.), a tablet computer, a palm computer, a notebook computer, a mobile internet device (MID, mobile internet Devices), or a wearable device, and the mobile terminal is merely an example, and is not exhaustive and includes but is not limited to the mobile terminal.
Fig. 1 is a flowchart illustrating a voice signal processing method according to a first embodiment of the present invention. The speech signal processing method described in this embodiment includes the steps of:
101. and analyzing the current voice signal by using a signal spectrum analyzer to obtain a high-frequency signal, a medium-frequency signal and a low-frequency signal in the current voice signal.
The voice signal can be divided into a high frequency signal, a medium frequency signal and a low frequency signal according to the frequency range of the voice signal. The audio frequency range audible to human is 20Hz-20KHz, and according to the IEC581 standard of the International electrotechnical Commission, signals with the frequency in the range of 30Hz-150Hz are divided into low-frequency signals, signals with the frequency in the range of 150Hz-5KHz are divided into intermediate-frequency signals, and signals with the frequency in the range of 5KHz-16KHz are divided into high-frequency signals. The mobile terminal can divide the current voice signal into 3 component signals of a high-frequency signal, an intermediate-frequency signal and a low-frequency signal according to the requirement of a user, wherein the frequency ranges of the high-frequency signal, the intermediate-frequency signal and the low-frequency signal are set by the user.
Optionally, the current voice signal may be an uplink voice signal, or a downlink voice signal.
In the embodiment of the invention, the mobile terminal can utilize the signal spectrum analyzer to perform spectrum analysis on the current voice signal, can convert the waveform of the current voice signal in a time domain into the spectrum of a frequency domain, and further can quantitatively explain the information of the current voice signal. For example, after performing spectrum analysis on the current speech signal, each frequency domain component and frequency distribution range may be obtained, and amplitude distribution and energy distribution of each frequency domain component are obtained, so as to obtain frequency values of the main amplitude and energy distribution. In the embodiment of the invention, in order to obtain the energy of the current voice signal in different frequency bands, the energy spectral density distribution of the voice signal, namely the energy distribution in a unit frequency band, can be obtained by performing spectrum analysis.
102. Calculating the energy ratio among the high-frequency signal, the intermediate-frequency signal and the low-frequency signal to obtain a: b: c, wherein a, b and c are integers which are all larger than 0.
In general, an energy ratio a between a high-frequency signal, an intermediate-frequency signal and a low-frequency signal in a current speech signal is obtained: b: c, a, b and c should be greater than 0, and if 0 appears in a, b or c, the subsequent steps may not be performed.
Optionally, in the step 102, calculating an energy ratio between the high frequency signal, the intermediate frequency signal and the low frequency signal may include the following steps:
21) calculating a first energy value of the high-frequency signal, a second energy value of the intermediate-frequency signal and a third energy value of the low-frequency signal;
22) and calculating an energy ratio among the high-frequency signal, the intermediate-frequency signal and the low-frequency signal according to the first energy value, the second energy value and the third energy value.
The first energy value of the high-frequency signal, the second energy value of the intermediate-frequency signal and the third energy value of the low-frequency signal can be obtained through calculation according to the energy spectral density distribution of the current voice signal. If the current voice signal is a digital signal, the summation operation of the energy density can be carried out in the frequency range corresponding to the high-frequency signal to obtain a first energy value of the high-frequency signal, the summation operation of the energy density is carried out in the frequency range corresponding to the intermediate-frequency signal to obtain a second energy value of the intermediate-frequency signal, and the summation operation of the energy density is carried out in the frequency range corresponding to the low-frequency signal to obtain a third energy value of the low-frequency signal.
Optionally, an energy ratio a: b: c between the high frequency signal, the intermediate frequency signal and the low frequency signal is obtained according to the calculated first energy value of the high frequency signal, the second energy value of the intermediate frequency signal and the third energy value of the low frequency signal, and the first energy value, the second energy value and the third energy value are simultaneously an average energy value or a total energy value.
103. According to the a: b: c and a preset energy ratio A: b: c, determining the a: b: c and the A: b: c.
In the embodiment of the present invention, the preset energy ratio may be obtained by a user through self-testing, taking a downlink voice signal of the mobile terminal as an example, the received voice signal may be tested by using test software to obtain an optimal voice signal, and an energy ratio a: B: C of a high-frequency signal, an intermediate-frequency signal, and a low-frequency signal of the optimal voice signal is taken as the preset energy ratio.
Optionally, in this embodiment of the present invention, a signal spectrum analyzer and an adaptive filter may be added to both uplink voice signal and downlink voice signal paths of the mobile terminal, so that the uplink voice signal and the downlink voice signal of the mobile terminal may be processed respectively, where a preset energy ratio a of the uplink voice signal to the downlink voice signal: b: c may be different, for example, the preset energy ratio of the uplink speech signal is: 1: 1.5: 2, the preset energy ratio of the downlink voice signal is as follows: 1: 1.6: 2.
optionally, in step 103, according to the a: b: c and a preset energy ratio A: b: c, determining the a: b: c and the A: b: the mapping parameter between C may include the following steps:
31) determining the ratio between B and B;
32) and according to the ratio, comparing the ratio of a: b: c, scaling to obtain a 1: b 1: c 1;
33) determining a first difference between the a1 and the A, and a second difference between the C1 and the C;
34) and taking the first difference value and the second difference value as the a: b: c and the A: b: c.
In practical applications, the ratio between the intermediate frequency signal B in the preset energy ratio and the intermediate frequency signal B in the current speech signal energy ratio can be calculated. For example, assume that A: b: c is 4:1:3, a: b: c is 5:2:7 and the ratio between B and B is 0.5, when for a: b: c, performing reduction processing to obtain a 1: b 1: c1 was 2.5:1:3.5, and it can be seen that a 1: b 1: c1 and A: b: compared with C, the proportion of the high-frequency signals is reduced, and the proportion of the low-frequency signals is increased. A: b: c and A: b: c, such that a: b: c, after being processed by the mapping parameters, the mapping parameters can reach or approach A: b: C.
104. and configuring a self-adaptive filter according to the mapping parameters, and carrying out filtering processing on the current voice signal according to the configured self-adaptive filter to obtain an output signal.
Optionally, before step 101, the mapping relationship between the mapping parameters and the configuration parameters of the adaptive filter may be as follows:
(M1，M2，…，Mn)＝f(x1，x2)
wherein x1 and x2 are the first parameters, the second parameters, and f represents the mapping relationship between the mapping parameters and the configuration parameters of the adaptive filter, where M1, M2, …, Mn are the configuration parameters of the adaptive filter, n represents the number of the configuration parameters, and n is a positive integer.
After the adaptive filter is configured according to the mapping parameters, the filter performs filtering processing on the current voice signal to obtain an output signal, so that the output signal is close to the optimal voice signal corresponding to the preset energy ratio, and the definition of the output signal is better compared with the current voice signal before processing.
Optionally, when the adaptive filter is configured according to the obtained mapping parameter, the configuration parameter of the adaptive filter may be determined by an upper limit parameter and a mapping parameter that are preset in the adaptive filter, and the adaptive filter may be configured according to the configuration parameter. Because in practical applications, the current speech signal may be of too poor quality, so that the energy ratio a of the high-frequency signal, the intermediate-frequency signal and the low-frequency signal of the current speech signal is: b: c and a preset energy ratio A: b: c deviation is too large, in order for a: b: c reaches or approaches the preset energy ratio a: b: c, directly by a: b: c and A: b: and C, filtering after the adaptive filter is configured by the mapping parameters, which may cause the adaptive filter to filter a large amount of low-frequency signals or intermediate-frequency signals or high-frequency signals during filtering processing, so that the strength of output signals is greatly reduced compared with the strength of current voice signals, thereby affecting the final call quality. For example, the preset value may be eighty percent of the current voice signal strength, that is, the strength of the output signal cannot be lower than eighty percent of the current voice signal strength, so that the quality of the voice signal can be ensured.
According to the embodiment of the invention, a signal spectrum analyzer is used for analyzing the current voice signal to obtain a high-frequency signal, a medium-frequency signal and a low-frequency signal in the current voice signal; calculating the energy ratio among the high-frequency signal, the intermediate-frequency signal and the low-frequency signal to obtain a: b: c, a, b and c are all integers greater than 0; according to a: b: c and a preset energy ratio A: b: c, determining a: b: c and A: b: mapping parameters between C; and configuring the self-adaptive filter according to the mapping parameters, and carrying out filtering processing on the current voice signal according to the configured self-adaptive filter to obtain an output signal. Thus, the definition of the voice signal can be improved in the voice call process.
In accordance with the above, please refer to fig. 2, which is a flowchart illustrating a speech signal processing method according to a second embodiment of the present invention. The speech signal processing method described in this embodiment includes the steps of:
201. and analyzing the current voice signal by using a signal spectrum analyzer to obtain a high-frequency signal, a medium-frequency signal and a low-frequency signal in the current voice signal.
202. Calculating the energy ratio among the high-frequency signal, the intermediate-frequency signal and the low-frequency signal to obtain a: b: c, wherein a, b and c are integers which are all larger than 0.
Wherein, steps 201 to 202 may refer to steps 101 to 102 of the speech signal processing method described with reference to fig. 1.
203. And judging whether the a, the b and the c are in a preset range.
The preset range can be set by the user, and is usually an empirical value. After the energy ratio a: b: c of the high-frequency signal, the intermediate-frequency signal and the low-frequency signal in the current voice signal is obtained, whether a: b: c is within a preset range or not is judged, and if not, the current voice signal can be judged to be possibly noise, so that the method described in the embodiment of the invention is not adopted to carry out any signal processing on the current voice signal.
Alternatively, a: b: c may be adjusted to A: b: c, and meanwhile, the loss of the signal is not too large.
204. When the a, b and c are within a preset range, according to the a: b: c and a preset energy ratio A: b: c, determining the a: b: c and the A: b: c.
Wherein if a, b, c are within a preset range, executing the following steps according to a: b: c and a preset energy ratio A: b: c, determining a: b: c and the A: b: c.
205. And configuring a self-adaptive filter according to the mapping parameters, and carrying out filtering processing on the current voice signal according to the configured self-adaptive filter to obtain an output signal.
Step 205 may refer to step 105 of the speech signal processing method described with reference to fig. 1.
According to the embodiment of the invention, a signal spectrum analyzer is used for analyzing the current voice signal to obtain a high-frequency signal, a medium-frequency signal and a low-frequency signal in the current voice signal; calculating the energy ratio among the high-frequency signal, the intermediate-frequency signal and the low-frequency signal to obtain a: b: c, a, b and c are all integers greater than 0; judging whether a, b and c are within a preset range; when a, b and c are within a preset range, according to a: b: c and a preset energy ratio A: b: c, determining a: b: c and A: b: mapping parameters between C; and configuring the self-adaptive filter according to the mapping parameters, and carrying out filtering processing on the current voice signal according to the configured self-adaptive filter to obtain an output signal. Thus, the definition of the voice signal can be improved in the voice call process.
In accordance with the foregoing, the following is a device for implementing the speech signal processing method according to the foregoing embodiment of the present invention, and specifically includes:
please refer to fig. 3a, which is a schematic structural diagram of a mobile terminal according to a first embodiment of the present invention. The mobile terminal described in this embodiment includes: the first processing unit 301, the calculating unit 302, the determining unit 303 and the second processing unit 304 are as follows:
a first processing unit 301, configured to analyze a current voice signal by using a signal spectrum analyzer, so as to obtain a high-frequency signal, an intermediate-frequency signal, and a low-frequency signal in the current voice signal;
a calculating unit 302, configured to calculate an energy ratio between the high frequency signal, the intermediate frequency signal, and the low frequency signal, to obtain a: b: c, wherein a, b and c are integers which are all greater than 0;
a determining unit 303, configured to determine, according to the a: b: c and a preset energy ratio A: b: c, determining the a: b: c and the A: b: mapping parameters between C;
a second processing unit 304, configured to configure an adaptive filter according to the mapping parameter, and perform filtering processing on the current speech signal according to the configured adaptive filter to obtain an output signal.
Optionally, as shown in fig. 3b, fig. 3b is a detailed structure of the computing unit 302 described in fig. 3a, and the computing unit 302 may include: the first computing module 3021 and the second computing module 3022 are specifically as follows:
a first calculating module 3021 for calculating a first energy value of the high frequency signal, a second energy value of the intermediate frequency signal, and a third energy value of the low frequency signal;
a second calculating module 3022, configured to calculate an energy ratio between the high frequency signal, the intermediate frequency signal and the low frequency signal according to the first energy value, the second energy value and the third energy value.
Optionally, as shown in fig. 3c, fig. 3c is a detailed structure of the determining unit 303 depicted in fig. 3a, and the determining unit 303 may include: the first determining module 3031, the first processing module 3032, the second determining module 3033 and the second processing module 3034 are as follows:
a first determination module 3031, configured to determine a ratio between B and B;
a first processing module 3032, configured to compare the a: b: c, scaling to obtain a 1: b 1: c 1;
a second determining module 3033, configured to determine a first difference between a1 and a second difference between C1 and C;
a second processing module 3034, configured to take the first difference and the second difference as the a: b: c and the A: b: c.
Optionally, the specific implementation manner of configuring the adaptive filter by the second processing unit 304 according to the mapping parameter is as follows:
and determining a configuration parameter according to the mapping parameter and a preset upper limit parameter of the adaptive filter, and configuring the adaptive filter according to the configuration parameter.
By the mobile terminal described in the embodiment of the invention, the current voice signal can be analyzed by using the signal spectrum analyzer to obtain a high-frequency signal, an intermediate-frequency signal and a low-frequency signal in the current voice signal; calculating the energy ratio among the high-frequency signal, the intermediate-frequency signal and the low-frequency signal to obtain a: b: c, a, b and c are all integers greater than 0; according to a: b: c and a preset energy ratio A: b: c, determining a: b: c and A: b: mapping parameters between C; and configuring the self-adaptive filter according to the mapping parameters, and carrying out filtering processing on the current voice signal according to the configured self-adaptive filter to obtain an output signal. Thus, the definition of the voice signal can be improved in the voice call process.
Fig. 4 is a schematic structural diagram of a mobile terminal according to a second embodiment of the present invention. The mobile terminal described in this embodiment includes: the first processing unit 401, the calculating unit 402, the judging unit 403, the determining unit 404 and the second processing unit 405 are as follows:
a first processing unit 401, configured to analyze a current voice signal by using a signal spectrum analyzer, so as to obtain a high-frequency signal, an intermediate-frequency signal, and a low-frequency signal in the current voice signal;
a calculating unit 402, configured to calculate an energy ratio between the high frequency signal, the intermediate frequency signal, and the low frequency signal, and obtain a: b: c, wherein a, b and c are integers which are all greater than 0;
a judging unit 403, configured to judge whether a, b, and c are within a preset range;
a determining unit 404, configured to determine, when the a: b: c and a preset energy ratio A: b: c, determining the a: b: c and the A: b: mapping parameters between C;
a second processing unit 405, configured to configure an adaptive filter according to the mapping parameter, and perform filtering processing on the current speech signal according to the configured adaptive filter to obtain an output signal.
By the mobile terminal described in the embodiment of the invention, the current voice signal can be analyzed by using the signal spectrum analyzer to obtain a high-frequency signal, an intermediate-frequency signal and a low-frequency signal in the current voice signal; calculating the energy ratio among the high-frequency signal, the intermediate-frequency signal and the low-frequency signal to obtain a: b: c, a, b and c are all integers greater than 0; judging whether a, b and c are within a preset range; when a, b and c are within a preset range, according to a: b: c and a preset energy ratio A: b: c, determining a: b: c and A: b: mapping parameters between C; and configuring the self-adaptive filter according to the mapping parameters, and carrying out filtering processing on the current voice signal according to the configured self-adaptive filter to obtain an output signal. Thus, the definition of the voice signal can be improved in the voice call process.
Fig. 5 is a schematic structural diagram of a mobile terminal according to a third embodiment of the present invention. The mobile terminal described in this embodiment includes: at least one input device 1000; at least one output device 2000; at least one processor 3000, e.g., a CPU; and a memory 4000, the input device 1000, the output device 2000, the processor 3000, and the memory 4000 being connected by a bus 5000.
The input device 1000 may be a touch panel, a physical button, or a mouse.
The output device 2000 may be a display screen.
The memory 4000 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 4000 is used for storing a set of program codes, and the input device 1000, the output device 2000 and the processor 3000 are used for calling the program codes stored in the memory 4000 to execute the following operations:
the processor 3000 is configured to:
analyzing a current voice signal by using a signal spectrum analyzer to obtain a high-frequency signal, a medium-frequency signal and a low-frequency signal in the current voice signal;
calculating the energy ratio among the high-frequency signal, the intermediate-frequency signal and the low-frequency signal to obtain a: b: c, wherein a, b and c are integers which are all greater than 0;
according to the a: b: c and a preset energy ratio A: b: c, determining the a: b: c and the A: b: mapping parameters between C;
and configuring a self-adaptive filter according to the mapping parameters, and carrying out filtering processing on the current voice signal according to the configured self-adaptive filter to obtain an output signal.
Optionally, the processor 3000 calculates an energy ratio among the high frequency signal, the intermediate frequency signal, and the low frequency signal, and includes:
calculating a first energy value of the high frequency signal, a second energy value of the intermediate frequency signal, and a third energy value of the low frequency signal;
calculating an energy ratio between the high frequency signal, the intermediate frequency signal, and the low frequency signal according to the first energy value, the second energy value, and the third energy value.
Optionally, the processor 3000 is configured to: b: c and a preset energy ratio A: b: c, determining the a: b: c and the A: b: c, mapping parameters including:
determining a ratio between said B and said B;
according to the ratio, the ratio of a: b: c, scaling to obtain a 1: b 1: c 1;
determining a first difference between the a1 and the A, and a second difference between the C1 and the C;
taking the first difference and the second difference as the a: b: c and the A: b: c.
Optionally, the processor 3000 configures an adaptive filter according to the mapping parameter, and includes:
and determining a configuration parameter according to the mapping parameter and a preset upper limit parameter of the adaptive filter, and configuring the adaptive filter according to the configuration parameter.
Optionally, the processor 3000 calculates an energy ratio among the high frequency signal, the intermediate frequency signal, and the low frequency signal to obtain a: b: c, and said step of: b: c and a preset energy ratio A: b: c, determining the a: b: c and the A: b: before mapping parameters between C, the method further includes:
judging whether the a, the b and the c are in a preset range or not;
when the a, b and c are in a preset range, executing the following steps according to the a: b: c and a preset energy ratio A: b: c, determining the a: b: c and the A: b: c.
Fig. 6 is a block diagram illustrating a partial structure of a mobile phone related to a mobile terminal according to an embodiment of the present invention. Referring to fig. 6, the handset includes: radio Frequency (RF) circuitry 610, memory 620, input unit 630, display unit 640, sensor 650, audio circuitry 660, WiFi module 670, processor 680, and power supply 690. Those skilled in the art will appreciate that the handset configuration shown in fig. 6 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
The following describes each component of the mobile phone in detail with reference to fig. 6:
the RF circuit 610 may be used for receiving and transmitting signals during information transmission and reception or during a call, and in particular, receives downlink information of a base station and then processes the received downlink information to the processor 680; in addition, the data for designing uplink is transmitted to the base station. In general, the RF circuit 610 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a Low Noise Amplifier (LNA), a duplexer, and the like. In addition, the RF circuitry 610 may also communicate with networks and other devices via wireless communications. The wireless communication may use any communication standard or protocol, including but not limited to global system for Mobile communications (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (LTE), email, Short Messaging Service (SMS), and the like.
The memory 620 may be used to store software programs and modules, and the processor 680 may execute various functional applications and data processing of the mobile phone by operating the software programs and modules stored in the memory 620. The memory 620 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 620 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
The input unit 630 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the cellular phone. Specifically, the input unit 630 may include a touch panel 631 and other input devices 632. The touch panel 631, also referred to as a touch screen, may collect touch operations of a user (e.g., operations of the user on the touch panel 631 or near the touch panel 631 by using any suitable object or accessory such as a finger or a stylus) thereon or nearby, and drive the corresponding connection device according to a preset program. Alternatively, the touch panel 631 may include two parts of a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 680, and can receive and execute commands sent by the processor 680. In addition, the touch panel 631 may be implemented using various types, such as resistive, capacitive, infrared, and surface acoustic wave. The input unit 630 may include other input devices 632 in addition to the touch panel 631. In particular, other input devices 632 may include, but are not limited to, one or more of a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like.
The display unit 640 may be used to display information input by the user or information provided to the user and various menus of the mobile phone. The display unit 640 may include a display panel 641, and optionally, the display panel 641 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like. Further, the touch panel 631 can cover the display panel 641, and when the touch panel 631 detects a touch operation thereon or nearby, the touch panel is transmitted to the processor 680 to determine the type of the touch event, and then the processor 680 provides a corresponding visual output on the display panel 641 according to the type of the touch event. Although in fig. 6, the touch panel 631 and the display panel 641 are two independent components to implement the input and output functions of the mobile phone, in some embodiments, the touch panel 631 and the display panel 641 may be integrated to implement the input and output functions of the mobile phone.
The handset may also include at least one sensor 650, such as a light sensor, motion sensor, and other sensors. Specifically, the light sensor may include an ambient light sensor that adjusts the brightness of the display panel 641 according to the brightness of ambient light, and a proximity sensor that turns off the display panel 641 and/or the backlight when the mobile phone is moved to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when stationary, and can be used for applications of recognizing the posture of a mobile phone (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer and tapping), and the like; as for other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which can be configured on the mobile phone, further description is omitted here.
WiFi belongs to short-distance wireless transmission technology, and the mobile phone can help a user to receive and send e-mails, browse webpages, access streaming media and the like through the WiFi module 670, and provides wireless broadband Internet access for the user. Although fig. 6 shows the WiFi module 670, it is understood that it does not belong to the essential constitution of the handset, and can be omitted entirely as needed within the scope not changing the essence of the invention.
The processor 680 is a control center of the mobile phone, and connects various parts of the entire mobile phone by using various interfaces and lines, and performs various functions of the mobile phone and processes data by operating or executing software programs and/or modules stored in the memory 620 and calling data stored in the memory 620, thereby performing overall monitoring of the mobile phone. Alternatively, processor 680 may include one or more processing units; preferably, the processor 680 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into processor 680.
The handset also includes a power supply 690 (e.g., a battery) for powering the various components, which may preferably be logically connected to the processor 680 via a power management system, such that the power management system may be used to manage charging, discharging, and power consumption.
Although not shown, the mobile phone may further include a camera, a bluetooth module, etc., which are not described herein.
In the foregoing embodiment, the method flows of the steps may be implemented based on the structure of the mobile terminal. Wherein the sensor 670 may comprise a proximity sensor and a humidity sensor, and the touch panel 631 may be used as a fingerprint recognition module.
An embodiment of the present invention further provides a computer storage medium, where the computer storage medium may store a program, and the program includes some or all of the steps of any one of the voice signal processing methods described in the above method embodiments when executed.
While the invention has been described in connection with various embodiments, other variations to the disclosed embodiments can be understood and effected by those skilled in the art in practicing the claimed invention, from a review of the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other elements or steps, and the word "a" or "an" does not exclude a plurality. A single processor or other unit may fulfill the functions of several items recited in the claims. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus (device), or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein. A computer program stored/distributed on a suitable medium supplied together with or as part of other hardware, may also take other distributed forms, such as via the Internet or other wired or wireless telecommunication systems.
The present invention has been described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (devices) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While the invention has been described in conjunction with specific features and embodiments thereof, it will be evident that various modifications and combinations can be made thereto without departing from the spirit and scope of the invention. Accordingly, the specification and figures are merely exemplary of the invention as defined in the appended claims and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the invention. It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (9)
1. A speech signal processing method, comprising:
analyzing a current voice signal by using a signal spectrum analyzer to obtain a high-frequency signal, a medium-frequency signal and a low-frequency signal in the current voice signal;
calculating the energy ratio among the high-frequency signal, the intermediate-frequency signal and the low-frequency signal to obtain a: b: c, wherein a, b and c are integers which are all greater than 0;
according to the a: b: c and a preset energy ratio A: b: c, determining the a: b: c and the A: b: c, mapping parameters including:
determining a ratio between said B and said B;
according to the ratio, the ratio of a: b: c, scaling to obtain a 1: b 1: c 1;
determining a first difference between the a1 and the A, and a second difference between the C1 and the C;
taking the first difference and the second difference as the a: b: c and the A: b: mapping parameters between C;
configuring a self-adaptive filter according to the mapping parameters, and filtering the current voice signal according to the configured self-adaptive filter to obtain an output signal, wherein a signal with the frequency within the range of 5KHZ-16KHZ is the high-frequency signal; the signal with the frequency in the range of 150HZ-5KHZ is the intermediate frequency signal; the signal with the frequency in the range of 30HZ-150HZ is the low-frequency signal.
2. The method of claim 1, wherein the calculating an energy ratio between the high frequency signal, the intermediate frequency signal, and the low frequency signal comprises:
calculating a first energy value of the high frequency signal, a second energy value of the intermediate frequency signal, and a third energy value of the low frequency signal;
calculating an energy ratio between the high frequency signal, the intermediate frequency signal, and the low frequency signal according to the first energy value, the second energy value, and the third energy value.
3. The method of any of claims 1 or 2, wherein said configuring an adaptive filter according to said mapping parameters comprises:
and determining the configuration parameters of the adaptive filter by the mapping parameters and the preset upper limit parameters of the adaptive filter, and reconfiguring the adaptive filter according to the configuration parameters.
4. The method according to any of claims 1 or 2, wherein in said calculating an energy ratio between said high frequency signal, said intermediate frequency signal and said low frequency signal, a: b: c, and said step of: b: c and a preset energy ratio A: b: c, determining the a: b: c and the A: b: before mapping parameters between C, the method further includes:
judging whether the a, the b and the c are in a preset range or not;
when the a, b and c are in a preset range, executing the following steps according to the a: b: c and a preset energy ratio A: b: c, determining the a: b: c and the A: b: c.
5. A mobile terminal, comprising:
the first processing unit is used for analyzing the current voice signal by using a signal spectrum analyzer to obtain a high-frequency signal, a medium-frequency signal and a low-frequency signal in the current voice signal;
a calculating unit, configured to calculate an energy ratio between the high-frequency signal, the intermediate-frequency signal, and the low-frequency signal, to obtain a: b: c, wherein a, b and c are integers which are all greater than 0;
a determining unit configured to determine, according to the a: b: c and a preset energy ratio A: b: c, determining the a: b: c and the A: b: c, wherein the determining unit comprises:
a first determining module for determining a ratio between B and B;
a first processing module, configured to compare the a: b: c, scaling to obtain a 1: b 1: c 1;
a second determining module for determining a first difference between the a1 and the A and a second difference between the C1 and the C;
a second processing module, configured to use the first difference and the second difference as the a: b: c and the A: b: mapping parameters between C;
the second processing unit is used for configuring a self-adaptive filter according to the mapping parameters and filtering the current voice signal according to the configured self-adaptive filter to obtain an output signal, wherein the signal with the frequency within the range of 5KHZ-16KHZ is the high-frequency signal; the signal with the frequency in the range of 150HZ-5KHZ is the intermediate frequency signal; the signal with the frequency in the range of 30HZ-150HZ is the low-frequency signal.
6. The mobile terminal according to claim 5, wherein the calculating unit comprises:
a first calculating module, configured to calculate a first energy value of the high-frequency signal, a second energy value of the intermediate-frequency signal, and a third energy value of the low-frequency signal;
a second calculating module, configured to calculate an energy ratio between the high-frequency signal, the intermediate-frequency signal, and the low-frequency signal according to the first energy value, the second energy value, and the third energy value.
7. The mobile terminal according to any of claims 5 or 6, wherein the specific implementation manner of the second processing unit configuring the adaptive filter according to the mapping parameter is as follows:
and determining the configuration parameters of the adaptive filter by the mapping parameters and the preset upper limit parameters of the adaptive filter, and reconfiguring the adaptive filter according to the configuration parameters.
8. The mobile terminal according to any of claims 5 or 6, wherein the mobile terminal further comprises:
a judging unit, configured to calculate, at the calculating unit, an energy ratio among the high-frequency signal, the intermediate-frequency signal, and the low-frequency signal, and obtain a: b: c, judging whether the a, b and c are in a preset range, and when the judgment result of the judging unit is that the a, b and c are in the preset range, the determining unit judges whether the a, b and c are in the preset range according to the following conditions: b: c and a preset energy ratio A: b: c, determining the a: b: c and the A: b: c.
9. A mobile terminal, comprising:
a processor and a memory; wherein the processor performs the method of any one of claims 1 to 4 by calling code or instructions in the memory.
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