Afriani, Iin (2013) Simulasi perbandingan performansi pengolahan text to speech menggunakan cool edit pro 2 dan Microsoft Speech Api (Sapi). Diploma thesis, UIN Sunan Gunung Djati Bandung.
|
Text (COVER)
1_cover.pdf Download (115kB) | Preview |
|
|
Text (ABSTRAK)
2_abstrak.pdf Download (202kB) | Preview |
|
|
Text (DAFTAR ISI)
3_daftarisi.pdf Download (407kB) | Preview |
|
|
Text (BAB I)
4_bab1.pdf Download (428kB) | Preview |
|
![[img]](https://etheses.uinsgd.ac.id/style/images/fileicons/text.png) |
Text (BAB II)
5_bab2.pdf Restricted to Registered users only Download (939kB) |
|
|
Text (BAB III)
6_bab3.pdf Restricted to Registered users only Download (509kB) |
|
|
Text (BAB IV)
7_bab4.pdf Restricted to Registered users only Download (494kB) |
|
|
Text (BAB V)
8_bab5.pdf Restricted to Registered users only Download (860kB) |
|
|
Text (BAB VI)
9_bab6.pdf Restricted to Registered users only Download (106kB) |
|
|
Text (DAFTAR PUSTAKA)
10_daftarpustaka.pdf Restricted to Registered users only Download (300kB) |
Abstract
The evolving of information technology can stimulate another development in various fields, in which communications between computers with humans has been amended from time to time with the goal of communication between humans and computers can take place efficiently. TTS (Text to Speech) is the design of VUI (Voice Use Interface) application that developed from ASR (Automatic Speech Recognition) technology. Cool edit pro2 is a recording and voice processing application that has function as an auditing in a single wave (single waveform). Microsoft Speech API (SAPI) is a layer of software that is used by the pronouncing application to communicate with speech recognition. It aims to change text into sound form and to determine the pitch frequency and sampling using matlab. From each word and sentence recorded using cool edit, frequency pitch of 5 Hz - 70 Hz, sampling frequency obtained 3000 Hz – 25000 Hz. While using the Microsoft Speech API recording pitch frequency obtained 4.46 Hz - 75 Hz, sampling frequency 3000 Hz - 29000 Hz. From the analysis of the data obtained is better to use cool edit, because it does not use bit mono that have been set by database using engineer intonation.
| Item Type: | Thesis (Diploma) |
|---|---|
| Uncontrolled Keywords: | Capability of TTS (Text to Speech); VUI (Voice User interface); Cool Edit Pro 2 Microsoft Speech API (SAPI); frekuensi pitch; |
| Subjects: | Engineering Applied Physics > Electronics Applied Physics > Computer Engineering |
| Divisions: | Fakultas Sains dan Teknologi > Program Studi Matematika |
| Depositing User: | Users 234 not found. |
| Date Deposited: | 01 Feb 2017 07:22 |
| Last Modified: | 08 Aug 2019 02:49 |
| URI: | https://etheses.uinsgd.ac.id/id/eprint/2840 |
Actions (login required)
 |
View Item |
