Speech recognition
Speech recognition is the process of converting spoken words into text. It enables computers to listen to audio recordings and transcribe them into written form automatically. There are many uses, ranging from home automation to robowaifu's. Speech recognition relies heavily on machine learning algorithms trained on vast quantities of recorded speech data, and researchers continue to refine existing models and develop new ones capable of handling ever greater variability among speakers and environments. In order to recognize spoken phrases reliably, the system needs to analyze both phonetic content (individual sounds and syllables), and higher level linguistic context. To accomplish this task accurately requires substantial computational power, along with careful tuning of parameters controlling how closely acoustic data should match desired templates. Since different languages vary significantly in terms of pronunciation, word order, grammatical constructs, and vocabulary, creating effective multilingual speech recognition capabilities remains one of the most challenging areas within this domain
References:
https://en.wikipedia.org/wiki/Speech_recognition