SIGNAL PROCESSING DEVICE, SIGNAL PROCESSING METHOD, AND PROGRAM
The signal processing device includes: a beat sound frequency determination unit that determines an optimal beat sound frequency of a user on the basis of a brain wave signal of the user; and a binaural beat signal generation unit that acquires an ambient environment sound, converts a sample acoustic signal prepared in advance into a binaural beat, on the basis of an optimal beat sound frequency, and mixes the binaural-beat-converted sample acoustic signal with the ambient environment sound, to generate a binaural-beat-converted ambient environmental sound signal.
1 . A signal processing device comprising a processor configured to execute operations comprising:
determining an optimal beat sound frequency of a user on the basis of a brain wave signal of the user;
acquiring an ambient environment sound,
converting a sample acoustic signal prepared in advance into a binaural beat, on the basis of an optimal beat sound frequency;
mixing the binaural-beat-converted sample acoustic signal with the ambient environment sound; and
generating a binaural-beat-converted ambient environmental sound signal.
2 . The signal processing device according to claim 1 , wherein
the generating further comprises generating two-channel signals by mixing two types of sample noises having different frequencies based on the optimal beat sound frequency, with the ambient environment sound.
3 . The signal processing device according to claim 1 , wherein
the generating further comprises generating a signal of a first channel by mixing a sample noise whose frequency is made different on the basis of the optimal beat sound frequency and the ambient environment sound, and a signal of a second channel by mixing a sample noise whose frequency is made different on the basis of the optimal beat sound frequency and the ambient environment sound.
4 . A signal processing device comprising a processor configured to execute operations comprising:
determining an optimal beat sound frequency of a user on the basis of a brain wave signal of the user;
acquiring an ambient environment sound of the user; and
converting the acquired ambient environment sound into a binaural beat on the basis of the optimal beat sound frequency.
5 . A signal processing method, comprising:
determining an optimal beat sound frequency of a user based on a brain wave signal of the user;
acquiring an ambient environment sound, converting a sample acoustic signal prepared in advance into a binaural beat based on the optimal beat sound frequency;
mixing the binaural-beat-converted sample acoustic signal with the ambient environment sound; and
generating a binaural-beat-converted ambient environmental sound signal.
6 - 7 . (canceled)
8 . The signal processing device according to claim 1 , wherein the brain wave signal represents a signal of the user in a rest state.
9 . The signal processing device according to claim 1 , wherein the determining an optimal beat sound frequency of the user is based on a combination of a first brain wave signal of the user in a rest state and a second brain wave of the user while listening to a binaural beat sound at a beat sound frequency.
10 . The signal processing device according to claim 1 , wherein the determining the optimal beat sound frequency of a user further comprises
changing a frequency of a binaural beat sound within a range of a brain wave band of the brain wave signal of the user to be induced.
11 . The signal processing device according to claim 1 , wherein the sample acoustic signal includes a white noise.
12 . The signal processing device according to claim 4 , wherein the brain wave signal represents a signal of the user in a rest state.
13 . The signal processing device according to claim 4 , wherein the determining an optimal beat sound frequency of the user is based on a combination of a first brain wave signal of the user in a rest state and a second brain wave of the user while listening to a binaural beat sound at a beat sound frequency.
14 . The signal processing device according to claim 4 , wherein the determining the optimal beat sound frequency of a user further comprises
changing a frequency of a binaural beat sound within a range of a brain wave band of the brain wave signal of the user to be induced.
15 . The signal processing method according to claim 5 , wherein
the generating further comprises generating two-channel signals by mixing two types of sample noises having different frequencies based on the optimal beat sound frequency, with the ambient environment sound.
16 . The signal processing method according to claim 5 , wherein
the generating further comprises generating a signal of a first channel by mixing a sample noise whose frequency is made different on the basis of the optimal beat sound frequency and the ambient environment sound, and a signal of a second channel by mixing a sample noise whose frequency is made different on the basis of the optimal beat sound frequency and the ambient environment sound.
17 . The signal processing method according to claim 5 , wherein the brain wave signal represents a signal of the user in a rest state.
18 . The signal processing method according to claim 5 , wherein the determining an optimal beat sound frequency of the user is based on a combination of a first brain wave signal of the user in a rest state and a second brain wave of the user while listening to a binaural beat sound at a beat sound frequency.
19 . The signal processing method according to claim 5 , wherein the determining the optimal beat sound frequency of a user further comprises
changing a frequency of a binaural beat sound within a range of a brain wave band of the brain wave signal of the user to be induced.
20 . The signal processing method according to claim 5 , wherein the sample acoustic signal includes a white noise.