Syllable-based automatic Arabic speech recognition in noisy-telephone channel

WSEAS Transactions on Signal Processing

Volumn 4, Issue 4, 2008, Pages 211-220

  Azmi, Mohamed Mostafa ^a   Tolba, Hesham ^a   Mahdy, Sherif ^b   Fashal, Mervat ^c  

^a Alexandria University The Faculty Of Engineering   (Egypt)

^b CAIRO UNIVERSITY   (Egypt)

^c Alexandria Governorate   (Egypt)

Author keywords

Arabic language; HMMs; Noisy channel; Speech recognition; Syllables

Indexed keywords

EXPERIMENTS; HIDDEN MARKOV MODELS; LEARNING SYSTEMS; MARKOV PROCESSES; OBJECT RECOGNITION; SPEECH; SPEECH ANALYSIS; SPEECH COMMUNICATION; SPEECH TRANSMISSION; TELECOMMUNICATION SYSTEMS; TELEPHONE; TELEPHONE SETS; WAVELET TRANSFORMS;

ARABIC LANGUAGE; ARABIC SPEECH; ARABIC SPEECH RECOGNITION; ASR SYSTEMS; CLEAN ENVIRONMENT; COMPARATIVE EXPERIMENTS; EGYPTIAN; HIDDEN MARKOV MODEL TOOLKIT; HIGH-QUALITY; HMMS; LIMITED BANDWIDTH; NOISY ENVIRONMENTS; NOISY-CHANNEL; PRONUNCIATION VARIATION; REAL-WORLD ENVIRONMENTS; RECOGNITION PERFORMANCE; RECOGNITION RATES; SPEECH DATA; SPEECH RECOGNIZERS; SPONTANEOUS SPEECH; SYLLABLES; TELEPHONE SPEECH RECOGNITION; TIME FRAMES; TRAINING AND TESTING; TRANSMISSION CHANNELS;

SPEECH RECOGNITION;

EID: 48849117918     PISSN: 17905022     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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