Apparatus to Share Small Information through Voice Messages

Human voice waveform follows a smooth graph. Sudden changes offrequency are missing in a normal human voice. Small amount of information can be embedded in voice as abrupt frequency changes. These abrupt frequency changes are very unlikely to exist in any normal human voice. Such abrupt frequency changes can be separated from normal human voice using digital signal processing techniques such as Goertzel algorithm. These abrupt frequency changes can be used to encode information tones. Abrupt frequency changes can be merged with normal voice again using digital signal processing techniques. Such voice merging techniques are already being used in conference calls to merge audio streams from various callers in a conference call. These information tones can be later decoded as meaningful text using same encoding/decoding scheme. There can be number of encoding/decoding schemes possible, each identified by a magic number. These information tones of abrupt frequency changes can occur both in audible frequency range of human voice or outside. IOT devices can use voice as a medium to communicate small bit of information among themselves. Also, such IOT device can also extract information from voice of public broadcasts and act upon this information without any manual intervention. This opens host of applications that can be designed to exploit this feature. There can be a trigger mechanism at receiving IOT device. User can set a trigger on IOT device for a key text by various input means such as inbuilt keypad or by a short-range communication protocol such as Bluetooth and whenever this key text is detected by IOT device in voice announcements happening in real time it raises an alert or event. This event can be used for any business interaction.