Segmentation Analysis using Synthetic Speech Signals

Monaural speech segregation using synthetic speech signals.

When listening to natural speech, listeners are fairly adept at using cues such as pitch, vocal tract length, prosody, and level differences to extract a target speech signal from an interfering speech masker. However, little is known about the cues that listeners might use to segregate synthetic speech signals that retain the intelligibility characteristics of speech but lack many of the featu...

Word segmentation in Persian continuous speech using F0 contour

Word segmentation in continuous speech is a complex cognitive process. Previous research on spoken word segmentation has revealed that in fixed-stress languages, listeners use acoustic cues to stress to de-segment speech into words. It has been further assumed that stress in non-final or non-initial position hinders the demarcative function of this prosodic factor. In Persian, stress is retract...

Phoneme Segmentation of Tamil Speech Signals Using Spectral Transition Measure

Process of identifying the end points of the acoustic units of the speech signal is called speech segmentation. Speech recognition systems can be designed using sub-word unit like phoneme. A Phoneme is the smallest unit of the language. It is context dependent and tedious to find the boundary. Automated phoneme segmentation is carried in researches using Short term Energy, Convex hull, Formant,...

Analysis for palatalized articulation of [s] sounds using synthetic speech

USING SYNTHETIC SPEECH Takayuki Arai 1 Keiko Okazaki 2 Setsuko Imatomi 3 Yuichi Yoshida 4 1;4Dept. of Electrical and Electronic Engineering, Sophia Univ., Tokyo, JAPAN 2Dept. of Plastic and Reconstructive Surgery, School of Medicine, Showa Univ., Tokyo, JAPAN 3Dept. of Speech Therapy, Fujigaoka Rehabilitation Hospital, Showa Univ., Yokohama, JAPAN ABSTRACT Palatalized articulation (PA) is frequ...

Statistical analysis of speech signals