Sound recognition

Sound recognition is a technology, which is based on both traditional pattern recognition theories and audio signal analysis methods. Sound recognition technologies contain preliminary data processing, feature extraction and classification algorithms. Sound recognition can classify feature vectors, feature vectors are created as a result of preliminary data processing and linear predictive coding.

Sound recognition technologies are used for:

  • Music recognition
  • Speech recognition
  • Automatic alarm detection and identification for surveillance, monitoring systems, based on the acoustic environment
  • Assistance to disabled or elderly people affected in their hearing capabilities
  • Identifying species of animals such as fish and mammals, e.g. in acoustical oceanography

Security

In monitoring and security, an important contribution to alarm detection and alarm verification can be supplied, using sound recognition techniques. In particular, these methods could be helpful for intrusion detection in places like offices, stores, private homes or for the supervision of public premises exposed to person aggression. In all these cases, a recognition system can report about a danger or distress event. It could further identify sounds like glass break, doorbells, smoke detector alarms, red alerts, human screams, baby cries and others. Sometimes, the alarm is triggered by other detectors (e.g. temperature or video-based) and the sound recognizer would be associated with these other modalities, to verify the alarm, with the purpose of decreasing the global false alarm detection rate.

Assistance

Solutions based on a sound recognition technology can offer assistance to disabled and elderly people affected in hearing capabilities, helping them to keep or recover some independence in their daily occupations.[1]

Companies

There are only a handful of companies who are working on sound recognition technology:

  • AbiliSense (checking sounds of the home and city environment).
  • Audio Analytic (AI company whose "Embedded sound recognition AI software gives consumer technology, such as smart speakers, hearables, smart home tech, mobile phones and automotive, a sense of hearing." [2] has sound recognition software that makes consumer products more intelligent).
  • OtoSense (checking sounds of engines).
  • Wavio (software and product innovation company providing sound recognition solutions to clients such as product manufacturers, organizations, and government inclusive of accessibility for Deaf & hard of hearing, protected by sound recognition patents[3] covering sound recognition to notify users of detected sounds automatically).
gollark: No, I like that one.
gollark: The problems I have with our system are more about issues we ended up with than the entire general concept of markets.
gollark: You could complain that this is due to indoctrination of some sort by... someone, and maybe this is true (EDIT: but you could probably just change that and it would be easier than reworking the entire economy). But you can quite easily see examples of people just not actually caring about hardships far away, and I think this is a thing throughout history.
gollark: What I'm saying is that, despite some problems, our market system is pretty effective at making the things people involved in it want. And most people do not *actually* want to help people elsewhere much if it comes at cost to them.
gollark: Yep!

See also

References
  1. Arslan, Yuksel; Guldogan, Burak (2015). "Impulsive sound detection and gunshot recognition". 2015 23nd Signal Processing and Communications Applications Conference (SIU). pp. 511–514. doi:10.1109/SIU.2015.7129872. ISBN 978-1-4673-7386-9.
  2. "Audio Analytic - enabling intelligent products through sound recognition". Audio Analytic. Retrieved 2018-04-09.
  3. , "Apparatus and method for wireless sound recognition to notify users of detected sounds", issued 2017-12-08
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