| dc.contributor.advisor | Napitupulu, Normalina | |
| dc.contributor.advisor | Sawaluddin | |
| dc.contributor.author | Nasution, Nadia Widari | |
| dc.date.accessioned | 2022-12-26T04:46:50Z | |
| dc.date.available | 2022-12-26T04:46:50Z | |
| dc.date.issued | 2015 | |
| dc.identifier.uri | https://repositori.usu.ac.id/handle/123456789/77720 | |
| dc.description.abstract | ABSTRACT
Speech recognition is a process that is done the computer to recognize words
spoken by a person without regard to the identity of persons.The words will be
transformed into digital signals by converting sound waves into a set of numbers
and then adjusted with certain codes and matched with a pattern stored in a
device. In this paper discussed about how speech recognition using hidden
Markov Model (HMM). HMM is a statistical model of a system that is assumed to
be a Markov process with parameters that are unknown and has accuracy in voice
identification. The result of the identification of the spoken word can be displayed
in written form or can be read by the device technology, which uses software
Microsoft Speech Application Programming Interface.
Keywords: Speech Recognition, Hidden Markov Model, Microsoft Speech Application
Programming Interface | en_US |
| dc.language.iso | id | en_US |
| dc.publisher | Universitas Sumatera Utara | en_US |
| dc.subject | Speech Recognition | en_US |
| dc.subject | Hidden Markov Model | en_US |
| dc.subject | Microsoft Speech Application Programming Interface | en_US |
| dc.title | Penerapan Hidden Markov Model untuk Pengenalan Ucapan | en_US |
| dc.identifier.nim | NIM110803016 | |
| dc.identifier.nidn | NIDN0006116304 | |
| dc.identifier.nidn | NIDN0031125982 | |
| dc.identifier.kodeprodi | KODEPRODI44201#Matematika | |
| dc.description.pages | 103 Halaman | en_US |
| dc.description.type | Skripsi Sarjana | en_US |
