<prompt> Hlalosa hore na theknoloji ea ho lemoha lentsoe e sebetsa joang.nan  <response>: Instruction in English: Describe how voice recognition technology works. . Response in English: Voice recognition technology, also known as speech recognition, is a computer program that uses algorithms and language modeling to identify spoken words and convert them to text or to perform an action based on the spoken command. Here is an overview of how the process works:1. Sound Input: The first step is for the user to speak into a microphone or other audio input device, where their voice is converted into a digital signal.2. Preprocessing: The signal then goes through preprocessing, where any background noise is filtered out, and the signal is amplified as necessary.3. Feature extraction: The next step is feature extraction, where the audio signal is broken down into its individual sound units, or phonemes, and analyzed for patterns and characteristics.4. Speech recognition: This is where the algorithm comes into play. The program compares the extracted features against its internal database or language model to determine what was said. This often involves the use of machine learning techniques to recognize patterns and increase accuracy.5. Text or Command Output: Once the program has recognized the spoken words or command, it then converts them into text or performs the appropriate action, such as executing a command or searching for information.Over time, as voice recognition technology continues to learn from its interactions with users, its accuracy and ability to interpret speech improves. Thats why many voice recognition programs require users to train the software by speaking specific phrases or correcting any mistakes it makes. . Response in Sesotho: Theknoloji ea temoho ea lentsoe, eo hape e tsejoang e le temoho ea puo, ke lenaneo la khomphutha le sebelisang litaolo le mohlala oa puo ho hloaea mantsoe a buuoang le ho a fetolela ho mongolo kapa ho etsa ketso e ipapisitseng le taelo e buuoang. Mona ke kakaretso ea kamoo mokhoa ona o sebetsang kateng: 1. Kenyelletso ea Molumo: Mohato oa pele ke hore mosebelisi a bue ka maekrofono kapa sesebelisoa se seng sa ho kenya molumo, moo lentsoe la bona le fetoleloang ho letsoao la dijithale. 2. Preprocessing: Letsoao le fetela pele ho tsebetso, moo lerata leha e le lefe le ka morao le hloekisoang, me letsoao le matlafatsoa ha ho hlokahala. 3. Ho ntšoa ha likarolo: Mohato o latelang ke ho ntšoa ha likarolo, moo letsoao la molumo le arotsoeng ka likarolo tsa lona tsa molumo, kapa lifonomo, me li hlahlojoe bakeng sa lipaterone le litšobotsi. 4. Keletso ea puo: Mona ke moo algorithm e kenang teng. Lenaneo le bapisa likarolo tse ntšitsoeng khahlanong le database ea eona ea kahare kapa mofuta oa puo ho fumana hore na ho builoe eng. Hangata sena se kenyelletsa tšebeliso ea mekhoa ea ho ithuta mochine ho lemoha mekhoa le ho eketsa ho nepahala. 5. Mongolo kapa Taelo ea Taelo: Ha lenaneo le se le hlokometse mantsoe a builoeng kapa taelo, joale le a fetolela mongolong kapa le etsa ketso e loketseng, e kang ho phetha taelo kapa ho batla tlhahisoleseding. Ha nako e ntse e ea, ha theknoloji ea temoho ea lentsoe e ntse e tsoela pele ho ithuta litšebelisanong tsa eona le basebelisi, ho nepahala ha eona le bokhoni ba eona ba ho hlalosa puo ea ntlafala. Ke ka lebaka leo mananeo a mangata a ho lemoha lentsoe a hlokang hore basebelisi ba koetlise software ka ho bua lipoleloana tse itseng kapa ho lokisa liphoso leha e le life tseo e li etsang. 