The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of COMPUTERS AND COMMUNICATIONS
Transactions ID Number: 19-397
Full Name: Mario Malcangi
Position: Professor
Age: ON
Sex: Male
Address: Via Comelico 39
Country: ITALY
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E-mail address: malcangi@dico.unimi.it
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Title of the Paper: Softcomputing approach to segmentation of speech in phonetic units
Authors as they appear in the Paper: Mario Malcangi
Email addresses of all the authors: malcangi@dico.unimi.it
Number of paper pages: 8
Abstract: Speech-To-Text and Text-To-Speech applications are essentially based on an effective separation of phonetic units, so the segmentation of uttered speech into phonetic units is a key processing task for successfully implementing speech recognition systems. Softcomputing methods demonstrate to be more effective than other methods due to the capability neural networks and fuzzy logic to be trained by expert. This work phonetic segmentation of uttered speech that separates vowels from consonants is based on a fuzzy logic inference engine tuned by an expert using speech features distribution. Only time-domain feature-extraction algorithms are applied to speech to extract features, so minimum computational cost was achieved. Fuzzy decision logic is used to infer about phonetic units separation point. A set of tests has been executed to demonstrate that this approach can be effective in separating phonetic units, while requiring minimal computing power and reducing s!
ystem complexity.
Keywords: Fuzzy decision logic, Pitch estimation, Speech energy, Speech segmentation, Speech analysis, Speech recognition, Speech synthesis, Zero-crossing rate
EXTENSION of the file: .doc
Special (Invited) Session: Using Fuzzy Logic and Features Measured from the Time Domain to Achieve Smart Separation of Phonetic Units
Organizer of the Session: 646-787
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