Speech recognition (SR) is the translation of spoken words into text. It is an interdisciplinary subfield of computing and linguistics that develops methodologies and technologies that enable the popularity and translation of speech into text by computers.
Speech recognition is employed to spot words in speech.
Voice recognition may be a biometric technology wont to identify a specific individual’s voice or for talker identification. It is also known as “automatic speech recognition” (ASR), “computer speech recognition”, or “speech to text” (STT).
In speech recognition, a software application recognizes spoken words. The measurements in this Machine Learning application might be a set of numbers that represent the speech signal.
We can segment the signal into portions that contain distinct words or phonemes. In each segment, we can represent the speech signal by the intensities or energy in different time-frequency bands.
Although the details of signal representation are outside the scope of this program, we can represent the signal by a set of real values.
Speech recognition, Machine Learning applications include voice user interfaces. Voice user interfaces are such as voice dialing, call routing, domotic appliance control. It can also use as simple data entry, preparation of structured documents, speech-to-text processing, and plane.