Classification of Sex based Speech Differentiation in Healthy Human Beings based on Voiced and Unvoiced Components

Human speech can convey the important data more than hundreds of signals, hence speech is considered as one of the most useful data filled signals, speech sounds have a rich and multi-layered temporal variation that convey various fruitful of information such as intention, expressions, intonation, accent, speaker identity, gender, age, style of speaking, emotions. state of health of speaker. But articulator movements depending on the organs movements such as, the movement of lips, tongue and other organs- is among the subtlest and most adept of actions performed by human beings. The major concern in language will be the identification, separation and processing of vowels and consonants of a particular language. This system we are storing different voice test samples of various speakers of different age with different conditions, from each speaker with different vowels, consonants and different combinations. From the spectrogram we are extracting the formant frequency & pitch for the different vowels and consonants using Matlab software.

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Classification of Sex based Speech Differentiation in Healthy Human Beings based on Voiced and Unvoiced Components

Cited by 3 publications

References 5 publications

Analysis of Vocal Tract Shape Variability based on Formant Frequency Ratio at Various Conditions of Vowels for Indian English Speakers

Analysis of Vocal Tract Shape Variability based on Formant Frequency Ratio at Various Conditions of Vowels for Indian English Speakers

The MINIMAL and MAXIMAL VOCAL TRACT SHAPE VARIABILITY FOR TELUGU VOWELS

Analysis of Indian English Vowels on Formants

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