Description
The development in the computing field where voice can be recognised by machines and present the results of the spoken fragment or command.
Alternative labels
recognition of speech
speech identification
recognizing speech
Skill type
knowledge
Skill reusability level
sector-specific
Relationships with occupations
Essential knowledge
Speech recognition is an essential knowledge of the following occupations:
Optional knowledge
Speech recognition is optional for these occupations. This means knowing this knowledge may be an asset for career advancement if you are in one of these occupations.
Language engineer: Language engineers work within the field of computing science, and more specifically in the field of natural language processing. They aim to close the gap in translation between accurate human translations to machine-operated translators. They parse texts, compare and map translations, and improve the linguistics of translations through programming and code.
Subtitler: Subtitlers can work intralingually, within the same language, or interlingually, across languages. Intralingual subtitlers create the subtitles for hearing-impaired viewers, whereas interlingual subtitlers create the subtitles for movies or television programmes in a different language to the one heard in the audiovisual production. They both ensure that the captions and subtitles are synchronised with the sound, images and dialogue of the audiovisual work.
Application engineer: Application engineers deal with the technical requirements, management, and design for the development of various engineering applications, such as systems, new product designs, or the improvements of processes. They are responsible for the implementation of a design or process improvement, they offer technical support for products, answer questions about the technical functionality and assist the sales team.
References
- Speech recognition – ESCO
