Speech Recognition is the decoding of human speech into transcribed text through a computer program. To recognize spoken words, the program must transcribe the incoming sound signal into a digitized representation, which must then be compared to an enormous database of digitized representations of spoken words. To transcribe speech with any tolerable degree of accuracy, users must speak each word independently, with a pause between each word and this substantially slows the speed of speech-recognition systems and calls their utility into question, With the exception in the case of physical disabilities that would prevent input by other means. See discrete speech recognition.
Technipages Explains Speech Recognition
Speech recognition is the ability of a pre-defined software, to listen to a voice command, interpret it, and give a response. The responses could range from your computer giving you results from a search you just ordered, or even getting back a response from phone assistants. Before any type of computer can access this technology, it must have a sound input like a microphone to be able to give commands to the system.
Development of this technology started in the 1950s, with the first being in 1952, the developer was Bell Laboratories, and they developed Audrey, which recognizes just digits being read by a sole voice. IBM introduced Shoebox in 1962, which could respond to about 16 words in the English language. Alexander Waibel developed harpy, and it could understand over a thousand words. The technology utilizes the Hidden Markov models because they can be trained automatically, also computationally suitable to be used.
Google and Apple are two companies that have utilized the technology of speech recognition and Apple’s entry into the speech recognition industry garnered public attention due to its Artificial Intelligence backing. Smartphones were the base for digital assistants.
Common Uses of Speech Recognition
- Speech recognition technology could be harnessed by both the military and medical sector of a country
- Speech recognition is an ever-growing niche as it is being implemented by Google and Apple to drive customers to their different ends
- The hidden Markov model is the underlying technology for speech recognition as its computation is suitable to be used
Common Misuses of Speech Recognition
- Computer systems that wish to utilize the speech recognition function software do not necessarily need to have a microphone