Spoken Arabic digits recognition using deep learning /
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis Book |
| Language: | English |
| Published: |
2018.
|
| Subjects: | |
| Online Access: | http://studentsrepo.um.edu.my/9521/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| LEADER | 01567cam a2200385 i 4500 | ||
|---|---|---|---|
| 001 | u1103123 | ||
| 003 | SIRSI | ||
| 005 | 201812241506 | ||
| 008 | 181224s2018 my a m 000 0 eng | ||
| 040 | |a UMJ |d UMM |e rda | ||
| 090 | |a TK7 |b UM 2018 Ba | ||
| 097 | |a TK7 |b UM 2018 Ba | ||
| 100 | 1 | |a Ba Wazir, Abdulaziz Saleh Mahfoudh, |e author. | |
| 245 | 1 | 0 | |a Spoken Arabic digits recognition using deep learning / |c AbdulAziz Saleh Mahfoudh Ba Wazir. |
| 264 | 1 | |c 2018. | |
| 300 | |a iv, 54 leaves : |b illustrations ; |c 30 cm | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a unmediated |2 rdamedia | ||
| 337 | |a computer |2 rdamedia | ||
| 338 | |a volume |2 rdacarrier | ||
| 338 | |a computer disc |2 rdacarrier | ||
| 502 | |b M.Eng. |c Jabatan Kejuruteraan Elektrik, Fakulti Kejuruteraan, Universiti Malaya |d 2018. | ||
| 504 | |a Bibliography: leaves 44-46. | ||
| 530 | |a Also issued in CD. | ||
| 650 | 0 | |a Neural networks (Computer science) | |
| 650 | 0 | |a Automatic speech recognition. | |
| 650 | 0 | |a Arabic language |x Data processing. | |
| 650 | 0 | |a Speech processing systems. | |
| 710 | 2 | |a Universiti Malaya. |b Jabatan Kejuruteraan Elektrik, |e degree granting institution. | |
| 856 | 4 | 1 | |u http://studentsrepo.um.edu.my/9521/ |
| 596 | |a 1 7 | ||
| 900 | |a NSM AMA | ||
| 999 | |a TK7 UM 2018 BA |w LC |c 1 |i A517217773 |f 11/2/2019 |g 1 |l STACKS |m P01UTAMA |r Y |s Y |t TESIS |u 11/2/2019 |1 STEM | ||
| 999 | |a TK7 UM 2018 BA |w LC |c 1 |i A516954692 |f 2/5/2019 |g 1 |l STACKS |m P07JURUTER |r Y |s Y |t TESIS |u 2/5/2019 |1 STEM | ||
| 999 | |a TK7 UM 2018 BA |w LC |c 2 |i A516954750 |f 2/5/2019 |g 1 |l COUNTER |m P07JURUTER |r Y |s Y |t CD |u 2/5/2019 |1 STEM | ||