Arabic speech recognition using phase parameter
نویسندگان
چکیده
منابع مشابه
Arabic Speech Recognition System using CMU-Sphinx4
In this paper we present the creation of an Arabic version of Automated Speech Recognition System (ASR). This system is based on the open source Sphinx-4, from the Carnegie Mellon University. Which is a speech recognition system based on discrete hidden Markov models (HMMs). We investigate the changes that must be made to the model to adapt Arabic voice recognition.
متن کاملIntroduction to Arabic Speech Recognition Using CMUSphinx System
demonstrate the possible adaptability of this system to Arabic voice recognition.
متن کاملInvestigation arabic speech recognition using CMU sphinx system
In this paper, Arabic was investigated from the speech recognition problem point of view. We propose a novel approach to build an Arabic automated speech recognition system using Arabic environment. The system, based on the open source CMU Sphinx-4, was trained using Arabic characters.
متن کاملStatistical Analysis of Arabic Phonemes for Continuous Arabic Speech Recognition
Although Arabic is the world’s second most spoken language in terms of the number of speakers, Arabic automatic speech recognition (AASR) did not receive the desired attention from the research community. In this paper, we introduce thorough statistical analysis of the Arabic phonemes from a widely used Arabic corpus that was developed by King Fahd University of Petroleum and Minerals (KFUPM) w...
متن کاملSpeech recognition using long-term phase information
Current speech recognition systems use mainly amplitude spectrum-based features such as MFFC for acoustic feature parameters, while discarding phase spectral information. The results of perceptual experiments, however, suggested that phase spectral information based on long-term analysis includes certain linguistic information. In this paper, we propose the use of phase features based on long-t...
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ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2019
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/1294/4/042013