WO2015196695A1 - 一种采集声音信息的方法及装置 - Google Patents
一种采集声音信息的方法及装置 Download PDFInfo
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- WO2015196695A1 WO2015196695A1 PCT/CN2014/090516 CN2014090516W WO2015196695A1 WO 2015196695 A1 WO2015196695 A1 WO 2015196695A1 CN 2014090516 W CN2014090516 W CN 2014090516W WO 2015196695 A1 WO2015196695 A1 WO 2015196695A1
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- the present invention relates to the field of communications, and in particular, to a method and apparatus for collecting sound information.
- mobile communication terminals have become an indispensable necessity in people's lives because of their convenient carrying, communication and colorful applications. People use the diverse functions they provide through direct interaction with mobile terminals, but in reality mobile terminals can also perform specific functions when people are not directly manipulating, such as when the user walks, drives, or goes to sleep.
- the mobile phone can still perform data collection, data analysis, data processing and other aspects in a guarded manner. Among them, the monitoring of sleep conditions and the analysis of sleep quality is a promising application direction.
- a typical scenario is that when the user sleeps at night, the mobile terminal is also in a dormant state at this time, and the user and the mobile terminal no longer perform any interaction.
- the user does not have a sense of autonomy, if he wants to understand the sleep situation afterwards, whether there is a sleep, a snoring or even an apnea at night, it is necessary to maintain data collection and analysis during the hours of sleep. It is difficult to implement directly on a mobile terminal.
- the embodiment of the invention provides a method and a device for collecting sound information, so as to at least solve the problem that the mobile terminal cannot maintain data collection and analysis during a sleep process of several hours in the prior art, resulting in a low user experience. .
- the present invention provides a method for collecting sound information, including: collecting a sound sample in a predetermined sampling period, and determining whether a sound intensity corresponding to the sound sample reaches a preset sound intensity; In the case where the sound intensity corresponding to the sound sample reaches the preset sound intensity, the sound is continuously collected and saved to analyze the sound characteristics in the sleep state according to the saved sound.
- collecting the sound sample in a predetermined sampling period, and determining whether the sound intensity corresponding to the sound sample reaches the preset sound intensity comprises: collecting the sound sample in the predetermined sampling period, and performing the sound sample on the sound sample Fourier transform; in the sound sample after the Fourier transform, cumulative measurement of sound intensity is performed for each frequency point in the range of 60hz-1.2khz and an average value is calculated; whether the average value of the sound intensity is reached The preset sound intensity.
- the method further includes: monitoring whether the sound intensity corresponding to the sound sample is lower than the preset Sound intensity; if the sound intensity corresponding to the sound sample is lower than the preset sound intensity, monitor whether the sound intensity reaches the preset sound intensity again within a preset time period; if yes, stop at The sound intensity is monitored within the preset duration, and if not, the operation of continuously acquiring the sound sample is stopped at the end of the preset duration.
- the method further includes: restarting the operation of acquiring the sound samples after a predetermined time interval.
- the method further includes: in a case where the sound intensity corresponding to the sound sample is lower than the preset sound intensity, At the end of the predetermined sampling period, the operation of acquiring the sound sample is stopped, and after the predetermined time interval, the operation of acquiring the sound sample is restarted.
- analyzing the sound characteristics in the sleep state according to the saved sound includes: performing peak statistics and peak interval statistics of the 80-800hz frequency band on the saved sound data; and determining the current sound according to the peak statistics and the peak interval statistics. Whether it is a beep; if the current sound is a beep, monitor whether the sound intensity reaches a preset click hazard threshold; and if the sound intensity reaches the preset click hazard threshold, perform a wake-up operation.
- the present invention provides an apparatus for collecting sound information, comprising: a determining module, configured to collect a sound sample in a predetermined sampling period, and determine whether a sound intensity corresponding to the sound sample reaches a preset sound intensity; And a module, configured to continuously collect the sound and save the sound intensity corresponding to the sound sample to reach the preset sound intensity, to analyze the sound feature in the sleep state according to the saved sound.
- the determining module includes: a data processing unit configured to: collect the sound samples in the predetermined sampling period, perform Fourier transform on the sound samples; and set a data statistics unit in the In the sound sample after the transformation, the cumulative measurement of the sound intensity is performed on each frequency point in the range of 60hz-1.2khz and the average value is calculated; the determining unit is configured to determine whether the average value of the sound intensity reaches the preset Sound intensity.
- the device further includes: a monitoring module, configured to monitor whether a sound intensity corresponding to the sound sample is lower than the preset sound intensity; and further configured to: the sound intensity corresponding to the sound sample is lower than the sound intensity In the case of preset sound intensity, it is monitored whether the sound intensity reaches the preset sound intensity again within a preset time period; and is further configured to monitor the sound intensity to reach the preset sound again within the preset time length In the case of the intensity, the monitoring of the sound intensity is stopped within the preset duration; the acquisition module is further configured to monitor the preset duration When it is determined that the sound intensity does not reach the preset sound intensity again, when the preset time length ends, the operation of continuously collecting the sound samples is stopped.
- a monitoring module configured to monitor whether a sound intensity corresponding to the sound sample is lower than the preset sound intensity
- the sound intensity corresponding to the sound sample is lower than the sound intensity
- the preset sound intensity it is monitored whether the sound intensity reaches the preset sound intensity again within a preset time period
- the collecting module is further configured to restart an operation of acquiring the sound sample after a predetermined time interval, in the case that the operation of continuously collecting the sound samples is stopped at the end of the preset time length; Alternatively, in the case of an operation of stopping the acquisition of the sound sample at the end of the predetermined sampling period, the operation of acquiring the sound sample is restarted after a predetermined time interval.
- the device further includes: an analysis module, configured to perform peak statistics and peak interval statistics of the 80-800hz frequency band on the saved sound data; and determine whether the current sound is based on the peak statistics and the peak interval statistics. a sounding; if the current sound is a click, the monitoring module is triggered to monitor whether the sound intensity reaches a preset click hazard threshold; and when the sound intensity reaches the preset click hazard threshold, the wake-up operation is triggered.
- an analysis module configured to perform peak statistics and peak interval statistics of the 80-800hz frequency band on the saved sound data; and determine whether the current sound is based on the peak statistics and the peak interval statistics.
- the invention first collects sound samples, determines whether the sound samples meet the collection criteria, and if so, starts continuous collection and storage, so that the sound characteristics in the sleep state can be analyzed according to the saved sounds, and the user is provided with a more accurate method.
- the collection method is convenient for the user to understand the state of his sleep, and solves the problem that the mobile terminal cannot maintain data collection and analysis during the sleep process for several hours in the prior art, resulting in a low user experience.
- FIG. 1 is a flow chart of a method for collecting sound information in an embodiment of the present invention
- FIG. 2 is a schematic structural diagram of an apparatus for collecting sound information in an embodiment of the present invention
- FIG. 3 is a schematic structural diagram of a device determining module for collecting sound information in an embodiment of the present invention
- FIG. 4 is a schematic diagram of a preferred structure of an apparatus for collecting sound information in an embodiment of the present invention.
- FIG. 5 is a schematic structural diagram of a mobile terminal having an apparatus for collecting sound information in a preferred embodiment of the present invention
- FIG. 6 is a flow chart of a method of collecting sound information in a preferred embodiment of the present invention.
- the present invention provides a method and a device for collecting sound information, The present invention will be further described in detail below with reference to the drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
- the embodiment of the invention provides a method for collecting sound information.
- the flow of the method is as shown in FIG. 1 and includes steps S102 to S104:
- S102 Collect a sound sample in a predetermined sampling period (Pw), and determine whether the sound intensity corresponding to the sound sample reaches a preset sound intensity;
- the sound sample is first collected to determine whether the sound sample meets the collection standard. If it meets the requirements, the continuous collection and storage are started, so that the sound characteristics in the sleep state can be analyzed according to the saved sound, and the user is provided with a comparison.
- the accurate collection method is convenient for the user to understand the state of his sleep, and solves the problem that the mobile terminal cannot maintain data collection and analysis during the sleep process for several hours in the prior art, resulting in a low user experience.
- the collected sound samples need to be processed so that they can be processed and compared as data. Therefore, after the sound samples are collected in a predetermined sampling period, the sound samples are processed.
- Fourier transform in the sound sample after Fourier transform, the cumulative measurement of the sound intensity is performed on each frequency point in the range of 60hz-1.2khz and the average value is calculated to determine whether the average value of the sound intensity reaches the preset sound. strength.
- the sound intensity corresponding to the sound sample reaches the preset sound intensity, it is determined that the current sound meets the collection condition, and continuous acquisition can be performed. After the sound is continuously collected and saved, whether the sound intensity corresponding to the sound sample is lower than the preset is monitored. Sound intensity.
- the preset sound intensity If it is lower than the preset sound intensity, it indicates that the sound is weak. If it is necessary to observe whether the current sound is still necessary to continue collecting, it is necessary to monitor whether the sound intensity reaches the preset sound intensity again within the preset duration (Ps). If the preset sound intensity is reached again, indicating that the current sound is still suitable for acquisition, stop monitoring the sound intensity within the preset time period and continue to collect continuously. If the preset sound intensity is not reached again, the sound at this time is not consistent with the re-acquisition. The standard, even if it is not meaningful to collect again, stops the continuous acquisition of sound samples at the end of the preset duration.
- the operation of continuously collecting the sound samples is stopped at the end of the preset duration, after the predetermined time interval, the operation of collecting the sound samples is restarted, the sound samples are continuously collected in the predetermined sampling period, and the sound samples are determined. Whether the sound intensity reaches the preset sound intensity.
- the peak statistics of the 80-800hz band and the peak interval statistics can be performed on the saved sound data; according to the peak statistics and the peak interval The result of the statistics determines whether the current sound is a click.
- Vd preset click hazard threshold
- the sound intensity reaches the preset click hazard threshold it indicates that the user is in a dangerous state and needs the user to change to sleep.
- An embodiment of the present invention further provides an apparatus for collecting sound information.
- the structure of the apparatus is as shown in FIG. 2, and includes: a determining module 10 configured to collect a sound sample in a predetermined sampling period and determine a sound intensity corresponding to the sound sample. Whether the preset sound intensity is reached; the acquisition module 20 is coupled with the determination module 10, and is configured to continuously collect the sound and save the sound intensity corresponding to the sound sample to the preset sound intensity, to analyze the sleep state according to the saved sound. Sound characteristics.
- FIG. 3 is a schematic structural diagram of the determining module 10, and the determining module 10 includes:
- the data processing unit 101 is configured to collect sound samples in a predetermined sampling period, perform Fourier transform on the sound samples, and the data statistics unit 102 is coupled to the data processing unit 101 and configured to be in the Fourier-transformed sound samples.
- the cumulative measurement of the sound intensity is performed for each frequency point in the range of 60hz-1.2khz and the average value is calculated;
- the determining unit 103 is coupled with the data statistical unit 102, and is set to determine whether the average value of the sound intensity reaches the preset sound intensity.
- the apparatus further includes: a monitoring module 30 coupled to the acquisition module 20, configured to monitor whether a sound intensity corresponding to the sound sample is lower than a preset sound intensity; If the sound intensity corresponding to the sound sample is lower than the preset sound intensity, monitor whether the sound intensity reaches the preset sound intensity again within the preset time length; and also set to monitor the sound intensity to reach the preset sound intensity again within the preset time length. In case, the sound intensity is stopped within the preset time period; the acquisition module 20 is also set to be in advance If the monitoring sound intensity does not reach the preset sound intensity again within the time limit, the operation of continuously collecting the sound samples is stopped at the end of the preset time length.
- the collecting module is further configured to restart the operation of collecting the sound samples after the predetermined time interval in the case that the operation of continuously collecting the sound samples is stopped at the end of the preset time period; or, it is set to end at the predetermined sampling period. In the case where the operation of collecting the sound samples is stopped, the operation of collecting the sound samples is restarted after the predetermined time interval.
- the device may further include: an analysis module coupled to the monitoring module, configured to perform peak statistics and peak interval statistics of the 80-800hz frequency band on the saved sound data; and determine whether the current sound is based on the peak statistics and the peak interval statistics. It is a beep; in the case that the current sound is a beep, the trigger monitoring module monitors whether the sound intensity reaches the preset click hazard threshold; and when the sound intensity reaches the preset click hazard threshold, the wake-up operation is triggered.
- an analysis module coupled to the monitoring module, configured to perform peak statistics and peak interval statistics of the 80-800hz frequency band on the saved sound data; and determine whether the current sound is based on the peak statistics and the peak interval statistics. It is a beep; in the case that the current sound is a beep, the trigger monitoring module monitors whether the sound intensity reaches the preset click hazard threshold; and when the sound intensity reaches the preset click hazard threshold, the wake-up operation is triggered.
- the mobile terminal needs to be in a non-continuous work scenario, in order to maintain the standby power-on time of the on-board power supply without affecting the portability.
- the reason is that the main functions of the mobile terminal are borne by the application processor, including the running application, the processing and display of the multimedia content, and the centralized operation and processing of the data collected by the peripheral device and the sensor.
- the application processor can achieve lower power consumption while in the sleep state, but the power consumption in the working state is relatively high, and there are dozens of times the difference between the two. Therefore, in the conventional use scenario, the standby and the working state are alternated, and the long standby time can be maintained; however, if the video playing and the game are continuously performed, the overall standby time is significantly reduced. Therefore, on the mobile phone, continuous data acquisition and analysis and other value-keeping functions are implemented. If the above-mentioned monitoring-recording function is implemented only by software, the application condition cannot be satisfied due to power consumption.
- the MODEM chip set to implement the cellular mobile network protocol function adopts a dormancy policy that is spaced apart from the access network, that is, when the user does not have any dial-in/answer-to-call and initiates packet domain service data.
- the MODEM chip not only periodically listens to the broadcast/paging channel, but also periodically/conditionally initiates a location update request, and most of the time is in a dormant state without any processing. If the user initiates the action of the telephone dialing or data internet connection, or the periodic detection mechanism of the MODEM chip detects the paging information to the local machine, the MODEM chip enters the active working state and starts processing.
- the working mode of analyzing the sound collection-recording after sleep provided in this embodiment belongs to an intermittent, bursty, and uncertain triggering mechanism, and to some extent, the process of receiving paging with the MODEM chip. similar.
- a processing unit with low energy consumption and relatively simple function can be introduced in the implementation of the scheme to implement continuous monitoring and first-level data acquisition, recording and processing.
- the wake-up application processor CP, a general-purpose processor of the mobile terminal
- the data can be analyzed and documented by the application on the CP. It is also possible to trigger the CP to perform alarm processing when certain limit thresholds are met.
- an embodiment of the present invention provides an apparatus for collecting sound information.
- the apparatus is disposed in a mobile terminal and used in combination with a device of the mobile terminal.
- the internal architecture of the mobile terminal is as shown in FIG. 5, including : CP, general-purpose processor of mobile terminal; SS, processor operating in low-power state; SP, set to store sound samples when SS works; MIC, sound pick-up and processing device, set to detect environment when SS works Sound; MODEM, the communication processor of the mobile terminal.
- the invention provides a method for recording sleep information by a mobile terminal.
- the method is applied to the mobile terminal, and can realize complete recording of the sound information of the user during sleep by the mobile terminal under the premise of reasonable power consumption, thereby realizing the later stage.
- the summary and tracking of sleep conditions provides a convenient and reliable means for users who care about their health and sleep.
- the embodiment of the present invention can introduce a low-power processing unit for the mobile terminal, and the specific implementation can adopt a low-power device SS such as a DSP/FPGA (a processor operating in a low-power state) to implement the mobile terminal.
- a low-power device SS such as a DSP/FPGA (a processor operating in a low-power state) to implement the mobile terminal.
- the continuous monitoring and recording function of the sound signal in the low power state, the implementation method comprises the following steps:
- Start the sleep recording function the mobile terminal enters the sleep state; the SS maintains the low power consumption state, starts the MIC and other sound collection devices to monitor the external sound signal at the Pi interval, and measures the sound signal of the Pw sampling period.
- the Pi period is restarted, and the peripheral device such as the MIC stops working;
- the SS collects the sound samples in the sampling period Pw, and performs a Fourier transform on the sound samples, and performs cumulative measurement of the sound intensity at each frequency point of the range of the vocal reference sound range of 60hz-1.2khz. .
- the sound intensity of the vocal area is measured to reach Vt in the Pw period, indicating that the currently collected sound conforms to the sampling standard, then the SS stops the Pw, and the sound sample is continuously collected and saved by the SS, and the time stamp is recorded; the sample is saved to the sample pool SP (Set as the medium for storing the sound samples when the SS works); further, perform peak statistics of the 80-800hz frequency band and the interval statistics of the peaks of the collected data, determine whether the characteristics of the click sound are met, and mark them; further, For the case of reaching the hum, according to whether the loudness reaches the dangerous threshold Vd, it is determined whether to trigger the wake-up of the CP to trigger a strategy such as buzzing or vibration, and actively stimulate the user to change the posture without waking up the user through the slight stimulation of the outside world. , out of danger of apnea.
- the received sound signal falls below the recording threshold, Ps is started and the sound is sampled; in the Ps period, if the resampling to the sound signal reaches Vt again, the monitoring of the Ps period is stopped; If the Ps period is up and the external sound continues to be below the recording threshold, the SS records the time stamp, stops the sound detection of peripheral devices such as the MIC, and restarts the Pi cycle.
- the SS wakes up the CP to extract the sample pool SP. Samples are analyzed and archived to the file system.
- FIG. 6 is a schematic flow chart of an embodiment of a method according to the present invention. As shown in FIG. 6, the method for recording sleep sound in a low power consumption state of the present invention includes the following steps:
- step S1 the sleep recording mode is started, the mobile terminal works in the sleep state, and the SS works in the low power detection state.
- step S2 the MIC is turned off and the Pi is started.
- step S3 the Pi period is up, the MIC is detected to detect the ambient sound, and the Pw is started.
- step S4 it is detected that the sound reaches the threshold Vt, the Pw is stopped, and S6 is executed.
- step S5 the Pw period is up, and step S2 is performed.
- step S6 the SS continuously detects the sound sample and saves it to the SP until the detection sound is lower than the threshold Vt, and starts Ps.
- step S7 the Ps cycle is up, the recording of the sound sample is stopped, and the process proceeds to step S2.
- the method and apparatus for collecting sound information provided by the embodiments of the present invention have the following beneficial effects: facilitating the user to understand his or her sleep state, and realizing the maintenance of the sleep on the mobile terminal for several hours. Data is collected and analyzed to enhance the user experience.
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Abstract
提供了一种采集声音信息的方法及装置。该方法包括：在预定采样周期内采集声音样本，并判断声音样本对应的声音强度是否达到预设声音强度；在声音样本对应的声音强度达到预设声音强度的情况下，连续采集声音并保存，以根据保存的声音分析睡眠状态下的声音特征。该方法先采集声音样本，判断声音样本是否符合采集标准，如果符合，就开始进行连续采集和保存，以使得可以根据保存的声音分析睡眠状态下的声音特性，给用户提供了一种较为准确的采集方法，方便用户了解自己睡眠时的状态，解决了现有技术中，移动终端无法在长达数小时的睡眠过程中保持数据采集、分析，导致用户体验较低的问题。
Description
本发明涉及通讯领域，特别是涉及一种采集声音信息的方法及装置。
时至今日，移动通信终端以其方便携带、随时沟通以及丰富多彩应用的特点，成为了人们生活中不可或缺的必备品。人们通过与移动终端进行直接的交互来使用其提供的多样化的功能，但实际上移动终端在人们不直接操控时，同样能够完成特定的功能，例如在用户行走、驾驶，或者进入睡眠状态时，手机仍然能够以值守的方式进行数据采集、数据分析、数据处理等方面的工作。其中，对于睡眠情况的监控及睡眠质量的分析，是一个很有前途的应用方向。
典型的场景是，当用户夜间睡眠时，此时移动终端也处于休眠态，用户和移动终端不再进行任何交互。但是用户在无自主意识的情况下，如果希望事后了解睡眠情况如何，夜间是否出现了梦话、呼噜，甚至呼吸暂停的情况，需要在长达数小时的睡眠过程中保持数据采集、分析，目前在移动终端上很难直接实现。
发明内容
本发明实施例提供了一种采集声音信息的方法及装置，以至少解决现有技术中，移动终端上无法在长达数小时的睡眠过程中保持数据采集、分析，导致用户体验较低的问题。
为解决上述技术问题，一方面，本发明提供一种采集声音信息的方法，包括：在预定采样周期内采集声音样本，并判断所述声音样本对应的声音强度是否达到预设声音强度；在所述声音样本对应的声音强度达到所述预设声音强度的情况下，连续采集声音并保存，以根据保存的声音分析睡眠状态下的声音特征。
可选地，在预定采样周期内采集声音样本，并判断所述声音样本对应的声音强度是否达到预设声音强度包括：在所述预定采样周期内采集所述声音样本，对所述声音样本进行傅里叶变换；在所述傅里叶变换后的声音样本中，对60hz-1.2khz范围内的各个频点进行声音强度的累计测量并计算平均值；判断所述声音强度的平均值是否达到所述预设声音强度。
可选地，在所述声音样本对应的声音强度达到所述预设声音强度的情况下，连续采集声音并保存之后，还包括：监测所述声音样本对应的声音强度是否低于所述预设声音强度；在所述声音样本对应的声音强度低于所述预设声音强度的情况下，在预设时长内监测所述声音强度是否再次达到所述预设声音强度；如果是，则停止在所述预设时长内监测声音强度，如果否，则在所述预设时长结束时，停止连续采集所述声音样本的操作。
可选地，在所述预设时长结束时，停止连续采集所述声音样本的操作之后，还包括：在预定时间间隔后，重新启动采集所述声音样本的操作。
可选地，监测所述声音样本对应的声音强度是否低于所述预设声音强度之后，还包括：在所述声音样本对应的声音强度低于所述预设声音强度的情况下，在所述预定采样周期结束时，停止采集所述声音样本的操作，并在预定时间间隔后，重新启动采集所述声音样本的操作。
可选地，根据保存的声音分析睡眠状态下的声音特征包括：对已保存的声音数据进行80-800hz频段的峰值统计和尖峰的间隔统计；根据峰值统计和尖峰的间隔统计的结果判断当前声音是否为鼾声；在所述当前声音为鼾声的情况下，监测声音强度是否达到预设鼾声危险门限；在所述声音强度达到所述预设鼾声危险门限的情况下，执行唤醒操作。
另一方面，本发明还提供一种采集声音信息的装置，包括：判断模块，设置为在预定采样周期内采集声音样本，并判断所述声音样本对应的声音强度是否达到预设声音强度；采集模块，设置为在所述声音样本对应的声音强度达到所述预设声音强度的情况下，连续采集声音并保存，以根据保存的声音分析睡眠状态下的声音特征。
可选地，所述判断模块包括：数据处理单元，设置为在所述预定采样周期内采集所述声音样本，对所述声音样本进行傅里叶变换；数据统计单元，设置为在所述傅里叶变换后的声音样本中，对60hz-1.2khz范围内的各个频点进行声音强度的累计测量并计算平均值；判断单元，设置为判断所述声音强度的平均值是否达到所述预设声音强度。
可选地，所述装置还包括：监测模块，设置为监测所述声音样本对应的声音强度是否低于所述预设声音强度；还设置为在所述声音样本对应的声音强度低于所述预设声音强度的情况下，在预设时长内监测所述声音强度是否再次达到所述预设声音强度；还设置为在所述预设时长内监测所述声音强度再次达到所述预设声音强度的情况下，停止在所述预设时长内监测声音强度；所述采集模块，还设置为在所述预设时长内监
测所述声音强度没有再次达到所述预设声音强度的情况下，在所述预设时长结束时，停止连续采集所述声音样本的操作。
可选地，所述采集模块，还设置为在所述预设时长结束时，停止连续采集所述声音样本的操作的情况下，在预定时间间隔后，重新启动采集所述声音样本的操作；或者，还设置为在所述预定采样周期结束时停止采集所述声音样本的操作的情况下，在预定时间间隔后，重新启动采集所述声音样本的操作。
可选地，所述装置还包括：分析模块，设置为对已保存的声音数据进行80-800hz频段的峰值统计和尖峰的间隔统计；根据峰值统计和尖峰的间隔统计的结果判断当前声音是否为鼾声；在所述当前声音为鼾声的情况下，触发所述监测模块监测声音强度是否达到预设鼾声危险门限；在所述声音强度达到所述预设鼾声危险门限的情况下，触发唤醒操作。
本发明先采集声音样本，判断声音样本是否符合采集标准，如果符合，就开始进行连续采集和保存，以使得可以根据保存的声音分析睡眠状态下的声音特性，给用户提供了一种较为准确的采集方法，方便用户了解自己的睡眠时状态，解决了现有技术中，移动终端上无法在长达数小时的睡眠过程中保持数据采集、分析，导致用户体验较低的问题。
图1是本发明实施例中采集声音信息的方法的流程图；
图2是本发明实施例中采集声音信息的装置的结构示意图；
图3是本发明实施例中采集声音信息的装置判断模块的结构示意图；
图4是本发明实施例中采集声音信息的装置的优选结构示意图；
图5是本发明优选实施例中具有采集声音信息的装置的移动终端的架构示意图；
图6是本发明优选实施例中采集声音信息的方法的流程图。
为了解决现有技术中，移动终端上无法在长达数小时的睡眠过程中保持数据采集、分析，导致用户体验较低的问题，本发明提供了一种采集声音信息的方法及装置，以
下结合附图以及实施例，对本发明进行进一步详细说明。应当理解，此处所描述的具体实施例仅仅用以解释本发明，并不限定本发明。
本发明实施例提供了一种采集声音信息的方法，该方法的流程如图1所示，包括步骤S102至步骤S104：
S102，在预定采样周期(Pw)内采集声音样本，并判断声音样本对应的声音强度是否达到预设声音强度；
S104，在声音样本对应的声音强度达到预设声音强度的情况下，连续采集声音并保存，以根据保存的声音分析睡眠状态下的声音特征。
本发明实施例先采集声音样本，判断声音样本是否符合采集标准，如果符合，就开始进行连续采集和保存，以使得可以根据保存的声音分析睡眠状态下的声音特性，给用户提供了一种较为准确的采集方法，方便用户了解自己的睡眠时状态，解决了现有技术中，移动终端上无法在长达数小时的睡眠过程中保持数据采集、分析，导致用户体验较低的问题。
实施过程中，在预定采样周期内采集声音样本后，需要对采集到的声音样本进行处理，使其能够作为数据被处理和比较，因此，在预定采样周期内采集声音样本后，对声音样本进行傅里叶变换；在傅里叶变换后的声音样本中，再对60hz-1.2khz范围内的各个频点进行声音强度的累计测量并计算平均值，判断声音强度的平均值是否达到预设声音强度。当然，本领域技术人员在实现时，也可以是采集几个声音样本，判断单独的几个声音样本中的一个或几个样本是否达到预设声音强度。本领域技术人员可以根据上述指导进行设计，此处不再赘述。
在声音样本对应的声音强度达到预设声音强度的情况下，则确定当前的声音符合采集条件，可以进行连续采集，在连续采集声音并保存之后，监测声音样本对应的声音强度是否低于预设声音强度。
如果低于预设声音强度，说明声音存在较弱的情况，需要观测当前的声音是否还有必要再继续采集，则需要在预设时长(Ps)内监测声音强度是否再次达到预设声音强度。如果再次达到预设声音强度，说明当前声音还是适合采集的，则停止在预设时长内监测声音强度，继续连续采集，如果没有再次达到预设声音强度，说明此时的声音已经不符合再采集的标准，即使再采集也没有意义，则在预设时长结束时，停止连续采集声音样本的操作。
在监测声音样本对应的声音强度是否低于预设声音强度之后，如果声音样本对应的声音强度低于预设声音强度的情况下，在预定采样周期结束时，停止采集声音样本的操作，并在预定时间间隔(Pi)后，重新启动采集声音样本的操作。
实现过程中，在预设时长结束时，停止连续采集声音样本的操作之后，在预定时间间隔后，重新启动采集声音样本的操作，继续在预定采样周期内采集声音样本，并判断声音样本对应的声音强度是否达到预设声音强度。
对于已经保存的声音，需要对其进行分析，以得到睡眠状态下的声音特征，则可以对已保存的声音数据进行80-800hz频段的峰值统计和尖峰的间隔统计；根据峰值统计和尖峰的间隔统计的结果判断当前声音是否为鼾声。
如果当前声音为鼾声，监测声音强度是否达到预设鼾声危险门限(Vd)；在声音强度达到预设鼾声危险门限的情况下，说明此时用户处于危险状态，需要用户换个睡卧的姿势，则执行唤醒操作，发出铃声或震动等操作使用户换个姿势；在声音强度没有达到预设鼾声危险门限的情况下，则可以继续监测，并保存分析记录，供用户在醒来后观察自己的睡眠状态。
本发明实施例还提供一种采集声音信息的装置，该装置的结构示意如图2所示，包括：判断模块10，设置为在预定采样周期内采集声音样本，并判断声音样本对应的声音强度是否达到预设声音强度；采集模块20，与判断模块10耦合，设置为在声音样本对应的声音强度达到预设声音强度的情况下，连续采集声音并保存，以根据保存的声音分析睡眠状态下的声音特征。
图3示出了判断模块10的结构示意图，判断模块10包括：
数据处理单元101，设置为在预定采样周期内采集声音样本，对声音样本进行傅里叶变换；数据统计单元102，与数据处理单元101耦合，设置为在傅里叶变换后的声音样本中，对60hz-1.2khz范围内的各个频点进行声音强度的累计测量并计算平均值；判断单元103，与数据统计单元102耦合，设置为判断声音强度的平均值是否达到预设声音强度。
图4示出了采集声音信息的装置的优选结构示意图，装置还包括：监测模块30，与采集模块20耦合，设置为监测声音样本对应的声音强度是否低于预设声音强度；还设置为在声音样本对应的声音强度低于预设声音强度的情况下，在预设时长内监测声音强度是否再次达到预设声音强度；还设置为在预设时长内监测声音强度再次达到预设声音强度的情况下，停止在预设时长内监测声音强度；采集模块20，还设置为在预
设时长内监测声音强度没有再次达到预设声音强度的情况下，在预设时长结束时，停止连续采集声音样本的操作。
其中，采集模块，还设置为在预设时长结束时，停止连续采集声音样本的操作的情况下，在预定时间间隔后，重新启动采集声音样本的操作；或者，还设置为在预定采样周期结束时停止采集声音样本的操作的情况下，在预定时间间隔后，重新启动采集声音样本的操作。
上述装置还可以包括：分析模块，与监测模块耦合，设置为对已保存的声音数据进行80-800hz频段的峰值统计和尖峰的间隔统计；根据峰值统计和尖峰的间隔统计的结果判断当前声音是否为鼾声；在当前声音为鼾声的情况下，触发监测模块监测声音强度是否达到预设鼾声危险门限；在声音强度达到预设鼾声危险门限的情况下，触发唤醒操作。
优选实施例
通常情况下，移动终端需要处于非连续工作的场景，才能在不影响便携性的前提下，利用机载的电源供应，维持数小时的待机工作时间。原因在于，移动终端主要的功能都由应用处理器承担，包括运行应用程序，多媒体内容的处理及显示，及外围器件、传感器采集的数据的集中运算及处理。应用处理器在处于休眠状态时可以做到较低的功耗，但在工作状态的功耗则相对较高，二者间存在数十倍以上的差距。因此在常规的使用场景下，待机和工作态交替，能够维持较长的待机时间；但如果连续地进行视频播放、游戏，整体待机时间就会有明显下降。所以，在手机上进行连续的数据采集分析等值守型的功能，如果仅仅通过软件实现上述监听-录制的功能，由于功耗的原因无法满足应用条件。
同样是移动终端内的处理器，设置为实现蜂窝移动网络协议功能的MODEM芯片采用了一种同接入网络约定间隔的休眠策略，即当用户没有任何拨入/接听电话及发起分组域业务数据连接的动作时，MODEM芯片除了周期性监听广播/寻呼信道，及定期/条件性地发起位置更新请求，其他大部分时间都处于休眠状态，不进行任何处理。如果用户发起了电话拨号或数据上网连接的动作，或者MODEM芯片的周期性检测机制检测到对本机的寻呼信息，则MODEM芯片才进入激活的工作状态，开始处理。本实施例提供的分析睡眠后的声音采集-录制的工作模式，就属于一种间歇的、突发式的、间隔时长均不确定的触发机制，某种程度上同MODEM芯片接收寻呼的过程相似。
为了在移动终端上实现上述的机制，可在方案实现中，引入一个工作能耗很低，功能相对简单的处理单元，实现持续监听和第一级的数据采集、记录与处理，当采集
到的数据满足一定的门限后触发唤醒应用处理器(CP，移动终端的一种通用处理器)进行后期运算和存储。当睡眠周期结束，可通过CP上的应用程序对数据进行整体分析及建档处理。还可以在满足某些极限门限时触发CP进行告警处理。
基于上述思想，本发明实施例提供了一种采集声音信息的装置，该装置设置在移动终端中，和移动终端自身的器件进行结合使用，该移动终端的内部架构示意如图5所示，包括：CP，移动终端的通用处理器；SS，工作在低功耗状态的处理器；SP，设置为SS工作时存储声音样本；MIC，声音拾取及处理的器件，在SS工作时设置为检测环境声音；MODEM，移动终端的通信处理器。
本发明提出了一种移动终端记录睡眠信息的方法，该方法应用在上述移动终端中，能够在合理功耗的前提下，实现移动终端对用户睡眠过程中的声音信息的完整记录，从而实现后期对睡眠情况的汇总、跟踪记录，为关心自身健康及睡眠情况的用户提供了一个方便易用可靠的手段。
具体的，本发明实施例可以为移动终端引入一个低功耗处理单元，具体实现上可采用DSP/FPGA等低功耗器件SS(一种工作在低功耗状态的处理器)，实现移动终端在低功耗状态下对声音信号的持续监控及记录功能，实现方法包括以下步骤：
(1)启动睡眠记录功能：移动终端进入休眠状态；SS保持低功耗工作状态，以Pi间隔启动MIC等声音采集器件监控外界的声音信号，对Pw的采样周期的声音信号进行测量。
如果Pw周期内检测声音没有超过记录门限(Vt)，重新开始Pi周期，MIC等外围器件停止工作；
如果外界声音达到记录门限，则SS在采样周期Pw内采集声音样本，并对声音样本执行傅里叶变换，对其中人声基准音区60hz-1.2khz范围的各个频点进行声强的累计测量。实现时，在Pw周期内测量人声区声强达到Vt，说明目前采集的声音符合采样标准，则SS停止Pw，由SS对声音样本进行连续采集及保存，记录时间戳；保存至样本池SP(设置为SS工作时存储声音样本的介质)；进一步地，对已采集的数据进行80-800hz频段的峰值统计，及尖峰的间隔统计，判定是否符合鼾声的特征，并加以标记；进一步地，对于达到鼾声的情况，根据其响度是否达到危险门限Vd，判定是否触发对CP的唤醒，以触发蜂鸣或振动等策略，通过外界的轻微刺激，在不唤醒用户的前提下主动刺激用户更改姿态，脱离呼吸暂停的危险。
如果在采样过程中，接收到的声音信号降落至记录门限以下，启动Ps，并保持对声音进行采样；在Ps周期内，如果重新采样到声音信号重新达到Vt，则停止Ps周期进行的监测；如果Ps周期到，而外界声音持续在记录门限以下，则SS记录时间戳，停止MIC等外围器件的声音检测，重新启动Pi周期。
实现过程中，如果累计采集的声音样本总时长Ls达到门限La，或累计的声音样本个数Ts达到门限Ta，或周期性记录门限Rs达到门限Ra，则由SS唤醒CP提取样本池SP中的样本进行分析及存档到文件系统。
(2)完成睡眠记录功能：当用户结束睡眠监测过程，可通过CP上运行的软件获得完整记录的声音数据以及对应的分析及图表数据。通过MODEM同Internet连接并与相应的在线服务相结合，可以进一步衍生出很多围绕睡眠健康的应用。
下面，结合附图对上述实施例进行进一步说明。
图6是本发明方法实施例流程示意图，如图6所示，本发明在低功耗状态下记录睡眠声音的方法包括以下步骤：
步骤S1，启动睡眠记录模式，移动终端工作在休眠状态，SS工作在低功耗检测状态。
步骤S2，关闭MIC，启动Pi。
步骤S3，Pi周期到，开启MIC检测环境声音，启动Pw。
步骤S4，检测到声音达到门限Vt，停止Pw，执行S6。
步骤S5，Pw周期到，执行步骤S2。
步骤S6，SS对声音样本进行连续检测并保存至SP，直到检测声音低于门限Vt时，启动Ps。
步骤S7，Ps周期到，停止记录声音样本，转步骤S2。
尽管为示例目的，已经公开了本发明的优选实施例，本领域的技术人员将意识到各种改进、增加和取代也是可能的，因此，本发明的范围应当不限于上述实施例。
如上所述，本发明实施例提供的一种采集声音信息的方法及装置具有以下有益效果：便于用户了解自己的睡眠时状态，实现了在移动终端上保持对长达数小时的睡眠过程中的数据进行采集、分析，提升用户体验。
Claims (11)
- 一种采集声音信息的方法，包括：在预定采样周期内采集声音样本，并判断所述声音样本对应的声音强度是否达到预设声音强度；在所述声音样本对应的声音强度达到所述预设声音强度的情况下，连续采集声音并保存，以根据保存的声音分析睡眠状态下的声音特征。
- 如权利要求1所述的方法，其中，在预定采样周期内采集声音样本，并判断所述声音样本对应的声音强度是否达到预设声音强度包括：在所述预定采样周期内采集所述声音样本，对所述声音样本进行傅里叶变换；在所述傅里叶变换后的声音样本中，对60hz-1.2khz范围内的各个频点进行声音强度的累计测量并计算平均值；判断所述声音强度的平均值是否达到所述预设声音强度。
- 如权利要求1所述的方法，其中，在所述声音样本对应的声音强度达到所述预设声音强度的情况下，连续采集声音并保存之后，还包括：监测所述声音样本对应的声音强度是否低于所述预设声音强度；在所述声音样本对应的声音强度低于所述预设声音强度的情况下，在预设时长内监测所述声音强度是否再次达到所述预设声音强度；如果是，则停止在所述预设时长内监测声音强度，如果否，则在所述预设时长结束时，停止连续采集所述声音样本的操作。
- 如权利要求3所述的方法，其中，在所述预设时长结束时，停止连续采集所述声音样本的操作之后，还包括：在预定时间间隔后，重新启动采集所述声音样本的操作。
- 如权利要求3所述的方法，其中，监测所述声音样本对应的声音强度是否低于所述预设声音强度之后，还包括：在所述声音样本对应的声音强度低于所述预设声音强度的情况下，在所述预定采样周期结束时，停止采集所述声音样本的操作，并在预定时间间隔后，重新启动采集所述声音样本的操作。
- 如权利要求1至5中任一项所述的方法，其中，根据保存的声音分析睡眠状态下的声音特征包括：对已保存的声音数据进行80-800hz频段的峰值统计和尖峰的间隔统计；根据峰值统计和尖峰的间隔统计的结果判断当前声音是否为鼾声；在所述当前声音为鼾声的情况下，监测声音强度是否达到预设鼾声危险门限；在所述声音强度达到所述预设鼾声危险门限的情况下，执行唤醒操作。
- 一种采集声音信息的装置，包括：判断模块，设置为在预定采样周期内采集声音样本，并判断所述声音样本对应的声音强度是否达到预设声音强度；采集模块，设置为在所述声音样本对应的声音强度达到所述预设声音强度的情况下，连续采集声音并保存，以根据保存的声音分析睡眠状态下的声音特征。
- 如权利要求6所述的装置，其中，所述判断模块包括：数据处理单元，设置为在所述预定采样周期内采集所述声音样本，对所述声音样本进行傅里叶变换；数据统计单元，设置为在所述傅里叶变换后的声音样本中，对60hz-1.2khz范围内的各个频点进行声音强度的累计测量并计算平均值；判断单元，设置为判断所述声音强度的平均值是否达到所述预设声音强度。
- 如权利要求7所述的装置，其中，所述装置还包括：监测模块，设置为监测所述声音样本对应的声音强度是否低于所述预设声音强度；还设置为在所述声音样本对应的声音强度低于所述预设声音强度的情况下，在预设时长内监测所述声音强度是否再次达到所述预设声音强度；还设置为在所述预设时长内监测所述声音强度再次达到所述预设声音强度的情况下，停止在所述预设时长内监测声音强度；所述采集模块，还设置为在所述预设时长内监测所述声音强度没有再次达到所述预设声音强度的情况下，在所述预设时长结束时，停止连续采集所述声音样本的操作。
- 如权利要求7所述的装置，其中，所述采集模块，还设置为在所述预设时长结束时，停止连续采集所述声音样本的操作的情况下，在预定时间间隔后，重新启动采集所述声音样本的操作；或者，还设置为在所述预定采样周期结束时停止采集所述声音样本的操作的情况下，在预定时间间隔后，重新启动采集所述声音样本的操作。
- 如权利要求7至10中任一项所述的装置，其中，还包括：分析模块，设置为对已保存的声音数据进行80-800hz频段的峰值统计和尖峰的间隔统计；根据峰值统计和尖峰的间隔统计的结果判断当前声音是否为鼾声；在所述当前声音为鼾声的情况下，触发所述监测模块监测声音强度是否达到预设鼾声危险门限；在所述声音强度达到所述预设鼾声危险门限的情况下，触发唤醒操作。
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| CN105845153A (zh) * | 2016-03-16 | 2016-08-10 | 北京永数网络科技有限公司 | 一种睡眠分析系统及方法 |
| CN106056843B (zh) * | 2016-07-08 | 2018-09-14 | 华南理工大学 | 辨识呼救声和异常脉搏的智能报警手环及其智能报警方法 |
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