JP2011130099A - Device for generating sound environment for falling asleep or wake-up - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a device for generating a sound environment for sleep onset or wake-up, capable of easily and effectively constructing a sound environment suitable for sleep onset or wake-up. <P>SOLUTION: The device for generating a sound environment for sleep onset or wake-up includes a pair of speakers 22 and 22, and a sound processing apparatus 1 for generating sound signals to the speakers 22 and 22. The sound processing apparatus includes: a sound source selection part 13 which selects sound source data to be reproduced, from a plurality of pieces of sound source data; a physical information detection part 14 which detects physical information of a user P; and a learning processing part 12 which evaluates easiness to fall asleep or wake up by reproduced sound source data on the basis of a detection result of the physical information detection part 14, which is obtained by reproducing sound source data in accordance with a sound source parameter including at least a sound source, a reproduction time, and a sound volume, and stores the evaluation result in a storage part 12a. The sound source selection part 13 selects sound source data having relatively high evaluation, on the basis of evaluation results stored in the storage part 12a when selecting sound source data to be reproduced. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to a sleep / wake-up sound environment generation apparatus that generates an environmental sound that induces comfortable sleep or enables awakening with good awakening.

  2. Description of the Related Art Conventionally, there has been provided a sleep wakeup support system that allows a user to relax and lead to falling asleep and to wake up well (see, for example, Patent Document 1). In this sleep wake-up support system, for example, by playing music and natural sounds for relaxation by a CD player, the user can be led to a comfortable sleep, and by playing music and natural sounds for waking up. Users can be guided to awakening with good awakening.

JP 2005-334283 A (paragraph [0026] and FIGS. 1 and 2)

  However, in the sleep / wake-up support system shown in Patent Document 1 described above, a sound environment according to the user's preference (a sound environment suitable for falling asleep or waking up) can be constructed, but the reproduction pattern ( Since the system does not store, for example, the name of the reproduced music, the playback time, the playback order, etc., the user has to perform the same setting work every use, and further improvement in usability is expected. Moreover, since this system is not provided with means for detecting the user's physical information, the constructed sound environment may not be effective for falling asleep or getting up.

  The present invention has been made in view of the above problems, and an object of the present invention is to provide a sound environment generation apparatus for sleep rising that can easily and effectively construct a sound environment suitable for sleep falling or rising. There is to do.

  The invention of claim 1 includes an electroacoustic transducer and a voice processing device that generates a voice signal to the electroacoustic transducer, and the voice processor reproduces sound source data to be reproduced from a plurality of sound source data. Based on the detection result of the sound source selection unit, the body information detection unit for detecting the user's body information, and the sound source data when the sound source data is reproduced according to the sound source parameters including at least the sound source, the reproduction time, and the volume A learning processing unit that evaluates either ease of sleep or wake-up by the reproduced sound source data and stores the evaluation result in the storage unit, and the sound source selection unit selects the sound source data to be reproduced In this case, sound source data having a relatively high evaluation is selected based on the evaluation result stored in the storage unit.

  According to a second aspect of the present invention, in the first aspect of the invention, the electroacoustic transducer is a two-channel speaker fixed at a predetermined position with respect to the user, and the voice processing device displays a sound image to the user. A sound image localization processing unit that controls the sound image of the sound output from the speaker by controlling the head-related transfer function for the sound source data so as to be recognized three-dimensionally, and the sound source parameters include the position of the sound source. The selection unit is characterized in that the sound image localization processing unit controls the sound image of the sound source data in accordance with the position of the sound source included in the sound source parameter of the sound source data to be reproduced.

  According to a third aspect of the present invention, in the first or second aspect of the present invention, the sound source selection unit does not select sound source data with a relatively low evaluation by the learning processing unit, or the priority of the sound source data is lower than the current level. It is characterized by setting.

  According to a fourth aspect of the present invention, in the first or second aspect of the present invention, the learning processing unit stores a sound source parameter of sound source data having a relatively high evaluation in the storage unit.

  According to a fifth aspect of the present invention, in any one of the first to fourth aspects of the present invention, the physical information detection unit detects physical information at the start of reproduction of the sound source data, and the learning processing unit detects the reproduced sound source data. Based on the physical information, it is classified into any of a plurality of preset physical states, the classified physical state is stored in the storage unit together with the evaluation result, and the sound source selection unit detects the physical information detected at the start of reproduction of the sound source data The sound source data to be reproduced is selected from the sound source data stored in the storage unit with the physical state that matches the physical state classified based on the above.

  The invention of claim 6 is the invention according to any one of claims 1 to 5, wherein the learning processing unit is either one of the ease of sleep or the ease of getting up according to the reproduction order of the plurality of sound source data of the sound source selection unit. And the evaluation result is stored in the storage unit, and the sound source selection unit selects a reproduction order with a relatively high evaluation based on the evaluation result stored in the storage unit, and reproduces the sound source data according to the selected reproduction order. It is characterized by doing.

  According to the first aspect of the present invention, since the sound source data reproduced based on the user's physical information when the selected sound source data is reproduced is evaluated for ease of sleep or wake-up, the evaluation result Sound source data effective for falling asleep or getting up can be selected, and sound source data with a relatively high evaluation suitable for falling asleep or getting up is automatically reproduced from a plurality of sound source data. As in the example, there is no need to perform setting work for each use, and therefore, there is an effect that a sound environment suitable for falling asleep or getting up can be easily and effectively constructed.

  According to the invention of claim 2, by controlling the sound image of the sound source data to be reproduced, the user can feel the sound image three-dimensionally and can construct a sound environment wrapped in the sound source. Alternatively, there is an effect that a sound environment suitable for getting up can be constructed.

  According to the third aspect of the present invention, it is possible to suppress sudden reproduction of undesirable sound source data during reproduction of sound source data, and as a result, it is possible to construct a sound environment suitable for falling asleep or getting up. effective.

  According to the invention of claim 4, since only the sound source parameters of the sound source data with relatively high evaluation are stored in the storage unit, the capacity of the storage unit can be reduced, and the sound source data to be reproduced is stored in the storage unit. By selecting from these, there is an effect that it is possible to construct a sound environment having a high sleep effect or a rising effect.

  According to the invention of claim 5, the reproduced sound source data is classified into any of a plurality of preset physical states based on the detected physical information, and the classification result is stored in the storage unit. It is possible to select sound source data suitable for the physical state classified from physical information detected at the start of reproduction of the sound source data, and as a result, it is possible to construct a sound environment suitable for falling asleep or getting up .

  According to the invention of claim 6, since the ease of sleep or the ease of getting up is evaluated according to the reproduction order of the sound source data, the sound source data is reproduced according to the reproduction order with a relatively high evaluation. A sound environment suitable for getting up can be constructed, and even if the sound source data to be used is different, a sound environment suitable for falling asleep or getting up can be constructed in the same way as long as the playback order is relatively high. It is possible to set a plurality of reproduction patterns, and as a result, the user can enjoy the sound environment without getting bored.

It is a schematic block diagram which shows the sound environment production | generation apparatus for waking up of this embodiment. It is a specific example of the body information detection part used for the same as the above.

  Embodiments of a sleep / wake-up sound environment generation apparatus according to the present invention will be described below with reference to FIGS. 1 and 2. As shown in FIG. 2, the sound environment generation device for falling awake according to the present invention gives an auditory stimulus by music or natural sound to a user P who is in a sleeping position on the bed 2, for example, and comfortably uses the user P. It is used to lead to comfortable sleep or awakening.

  FIG. 1 is a schematic configuration diagram of a sleep / wake-up sound environment generation apparatus according to the present embodiment, and a pair of left and right speakers (electroacoustic transducers) 22 and 22 incorporated in a headboard 21 of a bed 2 and these speakers 22. , 22 to generate a sound signal to the sound processing device 1.

  The sound processing device 1 is a sound source input for inputting sound source data (for example, music or natural sound) stored in a sound source 3 composed of a portable audio player (product name “memory audio”) or a stationary audio player, for example. Unit 15 (for example, input connector or input jack), sound source selection unit 13 for selecting sound source data to be reproduced from a plurality of sound source data, and predetermined physical information of user P (for example, heart rate, body movement, etc.) And a learning processing unit 12 that evaluates the ease of sleep (or easiness of getting up) of the user P based on the reproduced sound source data, and stores the evaluation result in the storage unit 12a. And a sound image localization processing unit 11 for controlling the head-related transfer function for the sound source data and controlling the sound image of the sound output from the speakers 22 and 22.

  FIG. 2 shows an example of the physical information detection unit 14 of the present embodiment. For example, the pressure mat sensor 4 disposed on the bed 2 or the camera 6 installed on the ceiling 5 is used, and the heartbeat of the user P is used as physical information. Detect body movement.

  The pressure mat sensor 4 is a pneumatic or piezoelectric sensor laid on the bed 2 and actively detects minute body movements and vibrations of the user P lying on the bed 2. The pneumatic pressure mat sensor 4 is a mat body in which air is sealed, and minute movements and vibrations of the user P are detected as changes in air pressure, and the changes in air pressure are transmitted to the microphone via the tube. It is converted into an electric signal by transmitting. In addition, the piezoelectric pressure mat sensor 4 converts a minute shape change of the mat body itself that occurs in response to a minute body movement or vibration of the user P into an electrical signal as it is. In any case, since minute movements and vibrations of the user P are detected, the respiration, heartbeat, body movement, etc. of the user P during sleep (or when waking up) can be acquired as electrical biological signals. . Then, the biological signal detected by the pressure mat sensor 4 is input to the learning processing unit 12, and the learning processing unit 12 determines whether the user P is in a sleeping state (or whether it is in a wake-up state) from this biological signal. is there.

  On the other hand, the camera 6 is composed of a CCD (Charge Coupled Device) camera, for example, and always images the upper half or the whole body of the user P lying on the bed 2 from above while the apparatus is in operation. And the video signal imaged with the camera 6 is input into the learning process part 12, and the learning process part 12 discriminate | determines from the video signal whether the user P is a sleep state (or whether it is a wake-up state). . Here, since the room is dark when the user P goes to bed, it is preferable to use infrared LED lamp illumination for the camera 6 as a CCD camera having a sensitivity distribution up to infrared rays. Further, the body temperature of the user P may be detected by thermography using far-infrared rays, and it may be determined whether or not the user P is in a sleeping state (or whether it is in a wake-up state) from the measured body temperature. A broken line A in FIG. 2 indicates an imaging range by the camera 6.

  The learning processing unit 12 evaluates whether or not the sound source data being reproduced is suitable for falling asleep (or getting up), that is, the ease of sleep (or ease of getting up) by the sound source data being reproduced. In the form, whether or not the user P is in a sleep state (or whether or not he / she is in a wake-up state) from the detection result (specifically, the heart rate or body movement of the user P) of the sound source data during reproduction of the sound source data. And the ease of sleep (or the ease of getting up) based on the reproduced sound source data is evaluated from the determination result. For example, when the time until the user P goes to sleep (or wakes up) is used as an evaluation parameter, the shorter this time is, the easier it is to sleep (or easy to wake up) and the higher the evaluation. Therefore, when this time is long, it is difficult to sleep (or to wake up). Therefore, such sound source data cannot be selected by the sound source selection unit 13, or the evaluation is set low. It is preferable not to reproduce as much as possible. Note that the above evaluation result is stored in the storage unit 12a of the learning processing unit 12 together with a sound source parameter described later of the corresponding sound source data. Specific examples of music suitable for falling asleep include healing music with a slow tempo, for example, and specific examples of music suitable for waking up include a clear rhythm such as bossa nova and a fast tempo. Music. Specific examples of natural sounds suitable for falling asleep include sounds that can be heard at night, such as owls, bellworms, crying voices and winds, and the noise of trees. Sounds that can be heard in the morning, such as twittering and river buzzing.

  The sound source selection unit 13 has a function of selecting sound source data that the user P wants to reproduce from among a plurality of sound source data input via the sound source input unit 15, and the above-described information stored in the storage unit 12 a of the learning processing unit 12. And a function of selecting sound source data having a relatively high evaluation based on the evaluation result. And by reproducing the relatively highly evaluated sound source data selected by the latter function, it is possible to construct a sound environment suitable for the user P to fall asleep (or wake up).

  The sound image localization processing unit 11 controls a head-related transfer function for sound source data (which expresses a change in sound caused by peripheral objects including the ear shell, the human head and the shoulder as a transfer function) and outputs it from the speakers 22 and 22. The user P has a function of controlling the sound image of the sound to be played, and the user P recognizes the sound image three-dimensionally (three-dimensionally) by this function. That is, the user P is recognized not only from the direction in which the speakers 22 and 22 are installed, but also from the various surrounding directions, so that a so-called pseudo-surround acoustic space is formed. is there.

  Here, Table 1 shows control data stored in the storage unit 12a in a form corresponding to each of the sound source data 1 to 7. In particular, Table 1 shows sound source parameters including a sound source, a reproduction time, a sound volume, and a sound source position. Show.

  Note that the sound source parameters of all the sound source data may be stored in the storage unit 12a, or only the sound source parameters of the relatively highly evaluated sound source data may be stored in the storage unit 12a, but particularly in the latter case. Compared with the case where all sound source parameters are stored, the capacity of the storage unit 12a can be reduced, and the sound source data to be reproduced is selected from those stored in the storage unit 12a, so that the sleep onset effect (or the wake-up effect) It becomes possible to build a high sound environment.

  Furthermore, in the present embodiment, the sound source selection unit 13 does not select sound source data with a relatively low evaluation by the learning processing unit 12, and for example, the sound source data 1, 3, and 7 in Table 1 are sound source data. When the evaluation is relatively low compared to 2, 4, 5, and 6, the sound source selection unit 13 does not select the sound source data 1, 3, 7, and the sound source data 2, 4, 5, 6 The sound source data to be played back is selected from the inside. At this time, the evaluation is performed based on, for example, the heart rate of the user P when the sound source data is reproduced. If the heart rate exceeds a predetermined threshold, it is determined that the sound source data is not suitable for falling asleep. If the heart rate is equal to or lower than a predetermined threshold value, it is determined that the sound source data is suitable for falling asleep and is rated high. The sound source data to be played when getting up is judged as music data suitable for getting up when the heart rate exceeds a predetermined threshold, and is highly evaluated. When the heart rate is below the predetermined threshold, It is judged that the sound source data is not suitable for the evaluation, and the evaluation is low.

  As described above, sound source data that is not suitable for falling asleep (or getting up) is excluded from the selection targets of the sound source selection unit 13 to suppress sudden reproduction of undesirable sound source data during playback of the sound source data. As a result, a sound environment suitable for falling asleep (or getting up) can be constructed. In this example, the sound source selection unit 13 does not select low-rated sound source data. However, for example, the priority may be set lower than the current level to make it difficult to reproduce.

  Next, the operation of the sound environment generation device for waking up in the embodiment will be described. When the apparatus is used for the first time, since the sound source data evaluated by the learning processing unit 12 does not exist, the sound source data selected by the user P from the sound source data input to the sound source selection unit 13 is reproduced. Alternatively, the sound source data input to the sound source selection unit 13 is reproduced at random. At this time, the sound source selection unit 13 controls the sound image of the reproduced sound by the sound image localization processing unit 11 according to the position of the sound source included in the sound source parameter of the sound source data being reproduced, and performs pseudo surround around the user P. An acoustic space is formed.

  The physical information (for example, the heart rate of the user P) when the sound source data is reproduced by any one of the above methods is detected by the physical information detection unit 14, and the detected physical information is input to the learning processing unit 12. The learning processing unit 12 determines whether or not the user P is in a sleeping state (or whether it is in a wake-up state) from the input physical information. Or, the evaluation of the sound source data is performed from the time until the wake-up. For example, when the time until sleep (or getting up) is shorter than a predetermined reference value (for example, 30 minutes), the evaluation is high, and when it is long, the evaluation is low. As for the highly evaluated sound source data, the sound source parameters are stored in the storage unit 12a as described above.

  When the user P next uses the apparatus, the sound source selection unit 13 selects and selects the sound source data to be reproduced from the highly evaluated sound source data stored in the storage unit 12a of the learning processing unit 12. The sound source data is reproduced. At this time, the sound source data is reproduced according to the reproduction time, the volume, and the position of the sound source included in the sound source parameters. At this time as well, the physical information of the user P is detected by the physical information detection unit 14, and the learning processing unit 12 re-evaluates the reproduced sound source data from the detection result. As a result of the re-evaluation, only the sound source parameter of the sound source data with relatively high evaluation is stored in the storage unit 12a. In the same manner, by repeating the evaluation of the sound source data and selecting sound source data with higher evaluation, it becomes possible to construct a more effective sound environment for falling asleep (or getting up). In order to enhance the wake-up effect, electronic sounds such as alarm sounds, unpleasant noises (such as door opening / closing sounds and meal sounds), sounds that make people move, and sounds that make the morning feel (such as birdsong) It is also effective to prepare a sound source such as etc. in advance and add it to the playback pattern or present only the sound source.

  Thus, according to the present embodiment, whether or not the user P is in the sleep state based on the physical information of the user P when the selected sound source data is reproduced (such as the heart rate and body movement of the user P). (Or whether or not the user is in the wake-up state), and the ease of sleep (or the ease of getting up) is evaluated based on the sound source data reproduced based on the determination result. Effective sound source data can be selected, and sound source data with a relatively high evaluation suitable for falling asleep (or getting up) is automatically reproduced from a plurality of sound source data. Thus, it is not necessary to perform a setting operation for each use, and therefore a sound environment suitable for falling asleep (or getting up) can be easily and effectively constructed.

  Further, by controlling the sound image of the sound source data to be reproduced by the sound image localization processing unit 11, the user P can feel the sound image three-dimensionally and can construct a sound environment wrapped in the sound source. A sound environment suitable for (or getting up) can be constructed.

  Next, Table 2 shows another example of the control data stored in the storage unit 12a of the learning processing unit 12. In the example shown in Table 1, only the sound source parameters including the sound source, the playback time, the volume, and the position of the sound source are shown. However, in the example shown in Table 2, in addition to the sound source parameter, the physical state classified from the physical information of the user P detected at the start of reproduction of the sound source data is stored.

  For example, in this example, the physical state is classified into a state where the user P is lying down (A group) and a state where the user is waking up (B group), and is stored in the storage unit 12a. Here, as a method for determining whether the user P is lying down or waking up, a plurality of pressure sensors are arranged on the bed 2 and determined by the number of pressure sensors turned on by the user P. To do. For example, when the number of pressure sensors to be turned on is equal to or greater than a predetermined number, the learning processing unit 12 determines that the user P is lying down. It is determined that it is awake.

  When it is determined that the user P is lying down, the sound source data to be reproduced is selected from the sound source data 1, 4 and 7 (group A) in Table 2, and the user P If it is determined that the sound has occurred, the sound source data to be reproduced is selected from the sound source data 2, 3, 5, 6 (group B) in Table 2.

  As described above, the physical state of the user P (in this example, the user P is classified as either lying down or waking up) is stored in the storage unit 12a in a form corresponding to each sound source data. Therefore, it is possible to select sound source data suitable for the physical condition classified from the physical information detected at the start of reproduction of the sound source data, and as a result, a sound environment suitable for falling asleep (or getting up) is constructed. be able to. Further, by changing the sound source data to be reproduced for each use, the user P can enjoy the sound environment without getting bored.

  In the above description, the user P is classified as either lying down or waking up. For example, from the heart rate of the user P detected by the body information detection unit 14, the user P The sound environment suitable for falling asleep (or getting up) can be selected by selecting sound source data corresponding to the physical condition in the same way. Can be built. In this example, sound source data to be reproduced can be selected from a plurality of sound source data in each body state. However, there is no need for a plurality of sound source data corresponding to each body state, and only one There may be.

  Next, Table 3 shows still another example of the control data stored in the storage unit 12a of the learning processing unit 12. In this example, the learning processing unit 12 also evaluates the reproduction order of the sound source data. The result is stored in the storage unit 12a.

  As a result, reproduction patterns 1 and 2 can be set as shown in Table 3, and both of these reproduction patterns 1 and 2 are relatively highly evaluated in the reproduction order. By selecting one of the reproduction patterns 1 or 2, a sound environment with a high sleep effect (or a wake-up effect) can be constructed.

  As described above, the ease of sleep (or the ease of getting up) according to the playback order of the sound source data is evaluated, so that the sound source data is played back according to the playback order with a relatively high evaluation, thereby falling asleep (or getting up). Even if the sound source data to be used is different as in the playback patterns 1 and 2, if the playback order is relatively high, the sound environment can be set to fall asleep (or wake up). Since a suitable sound environment can be constructed, for example, the user P can enjoy the sound environment without getting bored by reproducing the reproduction pattern 1 or 2 according to the use time.

  Next, Table 4 shows still another example of the control data stored in the storage unit 12a of the learning processing unit 12. In this example, the user when reproducing the sound source data in addition to the contents shown in Table 3 is shown. The heartbeat of P is also stored in the storage unit 12a.

  For example, as shown in Table 4, since the sound source data 7 included in the reproduction pattern 1 and the sound source data 9 included in the reproduction pattern 3 have the same heart rate 60 of the user P, both the sound source data 7 and 9 are Even if they are interchanged, the same effect can be expected. Therefore, in the present embodiment, the sound source selection unit 13 constructs a new reproduction pattern by exchanging sound source data having the same heartbeat and different reproduction patterns, for example, and can reproduce sound source data according to the constructed new reproduction pattern. It has become. That is, the reproduction pattern 4 (sound source data 1, 4, 9) and the reproduction pattern 5 (sound source data 6, 8, 7) are constructed by exchanging the sound source data 7 of the reproduction pattern 1 and the sound source data 9 of the reproduction pattern 3. Even if each of the reproduction patterns 4 and 5 is reproduced, a sound environment suitable for falling asleep (or getting up) can be similarly constructed.

  In this way, the sound source data having similar physical information (in this example, heartbeat) can be exchanged with each other to easily arrange the reproduction patterns, and the user P can increase the number of reproduction patterns. You can enjoy the sound environment without getting bored.

  In the present embodiment, the case where the sleep / wake-up sound environment generation device is installed in the bed 2 has been described as an example. However, the installation location is not limited to the bed. An environment generation device may be provided. In this embodiment, the sound image localization processing unit 11 controls the sound image of the sound output from the speakers 22, 22. However, it only needs to have an evaluation function by the learning processing unit 12, and the sound image is not necessarily controlled. It does not have to be. Furthermore, in the present embodiment, a pseudo three-dimensional sound image is formed using the two-channel speakers 22 and 22. However, for example, a three-dimensional speaker is directly three-dimensionally using a multi-channel speaker such as four channels or eight channels. A typical sound image may be formed. Moreover, although this embodiment demonstrated the case where the electroacoustic transducer was the speakers 22 and 22, for example, an earphone, a headphone, etc. may be sufficient and it is not limited to a speaker.

DESCRIPTION OF SYMBOLS 1 Speech processing device 12 Learning processing part 13 Sound source selection part 14 Physical information detection part 22 Speaker (electroacoustic transducer)
P user

Claims (6)

An electroacoustic transducer, and an audio processing device that generates an audio signal to the electroacoustic transducer,
The sound processing device includes a sound source selection unit that selects sound source data to be reproduced from among a plurality of sound source data, a body information detection unit that detects physical information of a user, and a sound source parameter including at least a sound source, a reproduction time, and a volume Based on the detection result of the physical information detection unit when the sound source data is reproduced according to the above, one of the ease of sleep or the ease of getting up by the reproduced sound source data is evaluated, and the evaluation result is stored in the storage unit And a learning processing unit, wherein the sound source selection unit selects sound source data having a relatively high evaluation based on an evaluation result stored in the storage unit when selecting sound source data to be reproduced. A sound environment generator for waking up. The electroacoustic transducer is a two-channel speaker fixed to a user at a predetermined position,
The audio processing device includes a sound image localization processing unit that controls a head-related transfer function for sound source data to control a sound image of a sound output from the speaker so that a user can recognize a sound image three-dimensionally,
The sound source parameter includes a position of the sound source, and the sound source selection unit controls the sound image of the sound source data by the sound image localization processing unit according to the position of the sound source included in the sound source parameter of the sound source data to be reproduced. The sound environment generating device for waking up and sleeping according to claim 1.   The said sound source selection part does not select the sound source data with comparatively low evaluation by the said learning process part, or sets the priority of this sound source data lower than the present condition, A sound environment generator for waking up.   The sleep learning sound environment generation device according to claim 1, wherein the learning processing unit stores the sound source parameter of sound source data with relatively high evaluation in the storage unit.   The physical information detection unit detects the physical information at the start of reproduction of the sound source data, and the learning processing unit detects the reproduced sound source data in any of a plurality of preset body states based on the detected physical information. And the stored physical state is stored in the storage unit together with the evaluation result, and the sound source selection unit matches the physical state classified based on the physical information detected at the start of reproduction of the sound source data. The sound environment generation device for falling asleep according to any one of claims 1 to 4, wherein sound source data to be reproduced is selected from sound source data stored in the storage unit.   The learning processing unit evaluates either ease of sleep or wake-up by the reproduction order of the plurality of sound source data included in the sound source selection unit, and stores an evaluation result in the storage unit, and the sound source The selection unit selects a reproduction order with a relatively high evaluation based on the evaluation result stored in the storage unit, and reproduces sound source data according to the selected reproduction order. The sound environment generating device for waking up according to item 1.

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