Research and learning

Speech, audio and music intelligence

Speech, audio and music intelligence is the work of modelling spoken and non-spoken sound so that quality can be measured by how people actually hear it. AI companies need it to ship voice and audio features that people trust and use.

Voice is becoming a main way people reach AI products, and audio generation is moving from demo to product. That creates demand for people who can build models and also judge them by ear and by measurement. The hard part is the mix. Strong candidates often come from speech processing, acoustics, music technology or ML, and few have all of it. Consent, originality and intended users shape the work too, so judgement matters as much as modelling skill.

Hiring now 3Emerging 1

Roles in this family

4 roles

Hiring nowSpeech Recognition EngineerA Speech Recognition Engineer builds the system that turns spoken language into accurate text for real users in real conditions. It matters because…Hiring nowSpeech Synthesis ResearcherA speech synthesis researcher builds text-to-speech models that sound natural, stay intelligible and respect speaker consent. Companies need them to…Hiring nowAudio Intelligence ScientistAn Audio Intelligence Scientist builds models that recognise sound events and reason about acoustic scenes. They make audio features dependable in…EmergingMusic Generation ResearcherA Music Generation Researcher builds music models that can be steered by musical constraints and checks whether their output copies existing work…

Where the people come from

Speech processing, acoustics, music technology or ML

Not to be confused with. Performer rights and service design remain separate accountabilities.

Core skills

  • Deep learning
  • Speech and audio modelling
  • Model evaluation
  • Linguistics and localisation

Where it is used

  • Cross-sector AI platforms
  • Film music games and entertainment
  • Customer service and contact centres
  • Accessibility and assistive technology

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