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Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words

Phonetic, idiolectal and acoustic speaker recognition

This paper describes a text-independent speaker recognition system that achieves an equal error rate of less than 1% by combining phonetic, idiolect, and acoustic features. The phonetic system is a novel language-independent speakerrecognition system based on differences among speakers in dynamic realization of phonetic features (i.e., pronunciation), rather than spectral differences in voice q...

Speaker Emotion Recognition Based on Speech Features and Classification Techniques

Speech Processing has been developed as one of the vital provision region of Digital Signal Processing. Speaker recognition is the methodology of immediately distinguishing who is talking dependent upon special aspects held in discourse waves. This strategy makes it conceivable to utilize the speaker's voice to check their character and control access to administrations, for example voice diali...

"text-prompted" without Text: a Language-independent Voice-prompted Speaker Recognition System

A new paradigm of voice prompted speaker recognition is presented. The vocal prompts that the speaker is asked to repeat are used by the speaker recognition system for segmenting the data and for normalizing the verification results. Using the vocal prompts themselves instead of the matching text makes the overall system more flexible and truly language independent. A technology demonstration s...