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Audio Mining/speech Analytics - How To Discuss

Writer Rachel Newton

Audio Mining/speech Analytics

Audio analysis/speech analysis involves keyword, phonetic or transcription technologies to extract information from recorded speech streams. This information can be used to rate calls, trigger alerts/workflows, and improve the productivity of employees and people in the organization.

Literal Meanings of Audio Mining/speech Analytics

Audio:

Meanings of Audio:
  1. Beep or beep.

  2. Focuses on audible sounds rather than sight.

Mining:

Meanings of Mining:
  1. (mineral) from the ground.

  2. To dig, look for minerals or metals.

  3. Place mines (explosives) in (area).

  4. Damage (to a car or boat) from a mine (explosive device).

  5. Dig a tunnel or to bury it in the ground.

  6. Excavating or otherwise removing a mine detonating surface or foundation to detonate a mine.

  7. (extended) Destroy or destroy by slow steps or secret means.

  8. Choose your nose.

  9. To earn new cryptocurrency units through certain calculations.

  10. Activities to extract solid objects of value from the ground.

  11. Any activity that extracts or undermines.

  12. Underground explosives placement activities are activated by an .

  13. Creation of new cryptocurrency units through transaction verification and confirmation work.

Sentences of Mining
  1. Gold mines.

  2. His intense search for apparently statistically significant results made any of his discoveries questionable.

Speech:

Meanings of Speech:
  1. The ability to produce sounds or words, the ability to speak or use vocalizations to communicate.

  2. A speech session, especially a lengthy communication made public by a person.

  3. Speech style.

  4. (Grammar) Scripted speech see direct speech, visualized speech.

  5. Dialect or language.

  6. Talk about hearing a mention.

  7. Make a speech.

Sentences of Speech
  1. It was difficult to hear the sound of his speech because of the noise. He had a severe speech impediment.

  2. In his campaign speech, the candidate made ambitious promises.

  3. His speech was soft and melodious.

Audio Mining/speech Analytics