Method, apparatus, and system for sound sensing based on wireless signals

A wireless device of a sound sensing system, comprising:

• a processor;
• a memory communicatively coupled to the processor;
• and
• a receiver communicatively coupled to the processor, wherein:
• an additional wireless device of the sound sensing system is configured to transmit a first wireless signal through a wireless channel of a venue,
• the receiver is configured to receive a second wireless signal through the wireless channel,
• the second wireless signal comprises a reflection of the first wireless signal by at least one object in the venue, and
• the processor is configured for:
• obtaining a time series of channel information (CI) of the wireless channel based on the second wireless signal,
• constructing a radar spectrogram as a function of frequency,
• determining a first magnitude of the radar spectrogram for positive frequencies,
• determining a second magnitude of the radar spectrogram for negative frequencies,
• calculating a sound metric based on a similarity between the first magnitude and the second magnitude,
• calculating a time average of the sound metric,
• subtracting the time average from the sound metric to generate sound metric values,
• determining a presence of a vibrating object in the venue based on the time series of CI (TSCI) and the sound metric values,
• extracting a sound signal from the TSCI, and
• reconstructing at least one speech based on the sound signal.

A method of a sound sensing system, comprising:

• transmitting a first wireless signal through a wireless channel of a venue;
• receiving a second wireless signal through the wireless channel, wherein the second wireless signal comprises a reflection of the first wireless signal by at least one object in the venue;
• obtaining a time series of channel information (CI) of the wireless channel based on the second wireless signal;
• constructing a radar spectrogram as a function of frequency;
• determining a first magnitude of the radar spectrogram for positive frequencies;
• determining a second magnitude of the radar spectrogram for negative frequencies;
• calculating a sound metric based on a similarity between the first magnitude and the second magnitude;
• calculating a time average of the sound metric;
• subtracting the time average from the sound metric to generate sound metric values;
• determining a presence of a vibrating object in the venue based on the time series of CI (TSCI) and the sound metric values;
• extracting a sound signal from the TSCI;
• and
• reconstructing at least one speech based on the sound signal.