Recognition of stop consonants in Japanese words using local spectral peaks.

Recognition of Consonants in Isolated Punjabi Words using DWT

Speech is the medium through which human beings can communicate with each other efficiently. Speech synthesis and recognition are two phases of speech. In this paper, focus is given on speech recognition. Speech recognition is the conversion of spoken words into text with the help of some electronic device like computer. A number of methods are available for recognition of speech in different l...

Robust word recognition using threaded spectral peaks

A novel technique which characterizes the position and motion of dominant spectral peaks in speech, significantly reduces the errorrate of an HMM-based word-recognition system. The technique includes approximate auditory filtering, temporal adaptation, identification of local spectral peaks in each frame, grouping of neighboring peaks into threads, estimation of frequency derivatives, and slowl...

Vowel recognition: Formants, Spectral Peaks,

Missing information in spoken word recognition: nonreleased stop consonants.

Cross-modal semantic priming and phoneme monitoring experiments investigated processing of word-final nonreleased stop consonants (e.g., kit may be pronounced /kit/ or /ki/), which are common phonological variants in American English. Both voiced /d/ and voiceless /t/ segments were presented in release and no-release versions. A cross-modal semantic priming task (Experiment 1) showed comparable...

Separation of stop consonants

To extract speech from acoustic interference is a challenging problem. Previous systems based on auditory scene analysis principles deal with voiced speech, but cannot separate unvoiced speech. We propose a novel method to separate stop consonants, which contain significant unvoiced signals, based on their acoustic properties. The method employs onset as the major grouping cue; it first detects...