What is Speech Recognition?

Speech recognition is a technology that enables a machine to interpret and recognize spoken language. It is used in a multitude of applications such as voice-controlled navigation systems, voice biometrics, and voice-enabled search engines. Speech recognition technology is used to convert spoken words into text, allowing people to interact with computers and other devices without having to type.

Is Speech Recognition Supervised or Unsupervised?

The answer to this question depends on the specific type of speech recognition being used. Generally speaking, speech recognition can be divided into two categories: supervised and unsupervised.

Supervised Speech Recognition

Supervised speech recognition is a type of speech recognition that requires a human to provide input in order to train the system. This type of speech recognition is usually used for tasks such as voice commands and dictation. It requires the user to provide examples of the words or phrases that the system should recognize. The system then uses this data to learn to recognize the words or phrases.

Unsupervised Speech Recognition

Unsupervised speech recognition is a type of speech recognition that does not require any human input. Instead, it uses natural language processing (NLP) to identify patterns in the data. This type of speech recognition is most commonly used for tasks such as speech-to-text transcription and voice search.

Conclusion

Speech recognition can be divided into two categories: supervised and unsupervised. Supervised speech recognition requires human input in order to train the system, while unsupervised speech recognition uses natural language processing to identify patterns in the data. Both types of speech recognition have their own advantages and disadvantages, and which one is best to use depends on the specific application.