Speech Recognition System Using MATLAB: Design, Implementation, and Samples Codes
Ahmad A M Abushariah ; Teddy Surya Gunawan
Informasi Umum
Kode
24.01.1236
Klasifikasi
621.382 - Communications engineering, Analog, Digital, Electronic communications, Telecommunications, Digital data and telecommunications engineering
Jenis
Buku - Circulation (Dapat Dipinjam)
Subjek
Speech Recognition - Engineering
No. Rak
12b
Dilihat
32 kali
Informasi Lainnya
Abstraksi
Research in automatic speech recognition has been done for almost four decades. This project aims to develop automated English digits speech recognition system using Matlab. The system is able to recognize the spoken utterances by translating the speech waveform into a set of feature vectors using Mel Frequency Cepstral Coefficients (MFCC) technique, which then estimates the observation likelihood by using the Forward algorithm. The Hidden Markov Model (HMM) parameters are estimated by applying the Baum-Welch algorithm on previously trained samples. The most likely sequence is then decoded using Viterbi algorithm, thus producing the recognized word. This project focuses on all English digits from (Zero through Nine), which is based on isolated words structure. Two modules were developed, namely the isolated words speech recognition and the continuous speech recognition. Both modules were tested in both clean and noisy environments and showed relatively sucessful recognition rates. The samples of Matlab codes were provided in the Appendix.
Koleksi & Sirkulasi
Seluruh 2 koleksi sedang dipinjam
Anda harus log in untuk mengakses flippingbook
Pengarang
| Nama | Ahmad A M Abushariah ; Teddy Surya Gunawan |
| Jenis | Perorangan |
| Penyunting | |
| Penerjemah |
Penerbit
| Nama | Lambert |
| Kota | Saarbrucken |
| Tahun | 2011 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 1.000,00 |
| Jenis | Sirkulasi |
