Intelligent Arabic letters speech recognition system based on mel frequency cepstral coefficients

نویسندگان

چکیده

<span lang="EN-US">Speech recognition is one of the important applications artificial intelligence (AI). Speech aims to recognize spoken words regardless who speaking them. The process voice involves extracting meaningful features from and then classifying these into their classes. This paper presents a neural network classification system for Arabic letters. will study effect changing multi-layer perceptron (MLP) (ANN) properties obtain an optimized performance. proposed consists two main stages; first, recorded letters are transformed time domain frequency using fast Fourier transform (FFT), extracted mel cepstral coefficients (MFCC). Second, classified MLP ANN with back-propagation (BP) learning algorithm. obtained results show that along can classify hidden layers accuracy around 86%.</span>

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

The Capacity of Mel Frequency Cepstral Coefficients for Speech Recognition

Speech recognition is of an important contribution in promoting new technologies in human computer interaction. Today, there is a growing need to employ speech technology in daily life and business activities. However, speech recognition is a challenging task that requires different stages before obtaining the desired output. Among automatic speech recognition (ASR) components is the feature ex...

متن کامل

Speech reconstruction from mel frequency cepstral coefficients and pitch frequency

This paper presents a novel low complexity, frequency domain algorithm for reconstruction of speech from the melfrequency cepstral coe cients (MFCC), commonly used by speech recognition systems, and the pitch frequency values. The reconstruction technique is based on the sinusoidal speech representation. A set of sine-wave frequencies is derived using the pitch frequency and voicing decisions, ...

متن کامل

Neuro Based Approach for Speech Recognition by Using Mel-frequency Cepstral Coefficients

NEURO BASED APPROACH FOR SPEECH RECOGNITION BY USING MEL-FREQUENCY CEPSTRAL COEFFICIENTS R.L.K. Venkateswarlu1 and R. Vasanthakumari2 1 Department of Information Technology, Sasi Institute of Technology and Engineering, Tadepalligudem, India, E-mail: [email protected]. 2 Perunthalaivar Kamarajar Arts College, Puducherry-605107, India, E-mail: [email protected]. This paper presents continu...

متن کامل

On compensating the Mel-frequency cepstral coefficients for noisy speech recognition

This paper describes a novel noise-robust automatic speech recognition (ASR) front-end that employs a combination of Mel-filterbank output compensation and cumulative distribution mapping of cepstral coefficients with truncated Gaussian distribution. Recognition experiments on the Aurora II connected digits database reveal that the proposed front-end achieves an average digit recognition accura...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: International Journal of Power Electronics and Drive Systems

سال: 2023

ISSN: ['2722-2578', '2722-256X']

DOI: https://doi.org/10.11591/ijece.v13i3.pp3348-3358