Independent learning of Quran (ILoQ)- alphabet using speech recognition

QR Code

Independent learning of Quran (ILoQ)- alphabet using speech recognition

Speech recognition is the process by which a computer or other type of machine identifies spoken words that captured through a microphone.Speech recognition is still new and still under the research in Malaysia.Independent Learning of Quran (ILoQ)-Alphabet is developed to do more research about spe...

Full description

Bibliographic Details
Main Author:	Shafiqah, Sholehuddin
Format:	Undergraduates Project Papers
Language:	English
Published:	2011
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/4313/ http://umpir.ump.edu.my/id/eprint/4313/1/SHAFIQAH_BINTI_SHOLEHUDDIN.PDF

Similar Items

Command by speech recognition
by: Ardian Syah, Mohd Yusof
Published: (2008)

Application of Speech Recognition for Swiftlet Vocalizations
by: Siti Nurzalikha Zaini, Husni Zaini, et al.
Published: (2013)

Development of images to braille conversion software for alphabets using template matching and rule based
by: Izzati Farrahiyah, Mazlan
Published: (2011)

English learning system using speech recognition for visual impaired user (ELSRVI)
by: Rajinder Singh, Harvinder Kaur
Published: (2012)

Wavelet cesptral coefficients for isolated speech recognition
by: Adam, Tarmizi, et al.
Published: (2013)

Wavelet cepstral coefﬁcients for isolated speech recognition
by: Adam, Tarmizi, et al.
Published: (2012)

A review of audio-visual speech recognition
by: Thum, Wei Seong, et al.
Published: (2018)

DC motor speed regulation using speech recognition
by: Firda, Andriyan, et al.
Published: (2021)

An improved method in speech signal input representation based on DTW technique for NN speech recognition system
by: Sudirman, Rubita, et al.
Published: (2007)

Implementation of Speech Recognition Home Control System Using Arduino
by: Nurul Fadzilah, Hasan, et al.
Published: (2015)

Recurrent neural network with backpropagation through time for speech recognition
by: Ahmad, A. M., et al.
Published: (2004)

Speaker-Independent Malay Syllable Recognition Using Singular And Modular Neural Networks
by: Ting, Hua Nong, et al.
Published: (2001)

Speaker-independent Malay vowel recognition of children using multi-layer perceptron
by: Hua, Nong Ting, et al.
Published: (2004)

Speech processing for makhraj recognition: The design of adaptive filter for noise canceller
by: Nurul Wahidah, Arshad, et al.
Published: (2011)

A novel lip geometry approach for audio-visual speech recognition
by: Mohd Zamri, Ibrahim
Published: (2014)

Speech processing for makhraj recognition (design adaptive filter for noise removal)
by: Siti Nurmaisarah, Abdul Aziz
Published: (2010)

NN speech recognition utilizing aligned DTW local distance scores
by: Sudirman, Rubita, et al.
Published: (2005)

The Effectiveness of DTW-FF Coefficients and Pitch Feature in NN Speech Recognition
by: Sudirman, Rubita, et al.
Published: (2006)

DTWFF-pitch feature and faster neural network convergence for speech recognition
by: Sudirman, Rubita, et al.
Published: (2007)

Development of real-time embedded system with speech recognition for smart house
by: Yahya, Zuraimi, et al.
Published: (2007)

Development of audio-visual speech recognition using deep-learning technique
by: How, Chun Kit, et al.
Published: (2022)

Malay continuous speech recognition using continuous density hidden Markov model
by: Ting, Chee Ming
Published: (2007)

A lip geometry approach for feature-fusion based audio-visual speech recognition
by: M. Z., Ibrahim, et al.
Published: (2014)

WADA-W: A modified WADA SNR estimator for audio-visual speech recognition
by: Thum, Wei Seong, et al.
Published: (2019)

Development of high quality speech compression system for Quranic recitation based on modified CELP algorithm
by: Gunawan, Teddy Surya, et al.
Published: (2013)

Development on SNR estimator for audio-visual speech recognition based on waveform amplitude distribution analysis
by: Thum, Wei Seong
Published: (2018)

Feature-Fusion based Audio-Visual Speech Recognition using Lip Geometry Features in Noisy Environment
by: M. Z., Ibrahim, et al.
Published: (2015)

Analysis Of Failure In Offline English Alphabet Recognition With Data Mining Approach
by: Munnian, Ruthrakumar
Published: (2019)

Controller design based on Q-Parameterization method
by: Mohamad, Hussein Suleiman
Published: (2007)

English digits speech recognition system based on Hidden Markov Models
by: Abushariah, Ahmad A. M., et al.
Published: (2010)

Optical Character Recognition By Using Template Matching (Alphabet)
by: Nadira, Muda, et al.
Published: (2007)

Deep Learning Based Face Attributes Recognition
by: Saidi, Mohamad Hazim
Published: (2018)

Deep learning-based car plate optical character recognition
by: Choo, Zhen Bo
Published: (2022)

Result comparison of model validation techniques on audio-visual speech recognition
by: Thum, Wei Seong, et al.
Published: (2017)

Face recognition using deep learning
by: Ooi, Zi Xen
Published: (2019)

Speech to text translation for Malay Language
by: Ali Al-khulaidi, Rami, et al.
Published: (2017)

Computer-based speech training for children
by: Hua, Nong Ting, et al.
Published: (2004)

The modeling of the Quranic alphabets’ correct pronunciation for adults and children experts
by: Ahmad, Salmiah, et al.
Published: (2019)

A mobile application of augmented reality for periodic table with speech recognition
by: Sen, Tan Chee, et al.
Published: (2021)

Lips tracking identification of a correct pronunciation of Quranic alphabets for tajweed teaching and learning
by: Altalmas, Tareq, M., et al.
Published: (2017)