Automatic Identification of Modal, Breathy and Creaky Voices
Poonam Sharma, Ajay Sharma
Abstract
This paper presents a way for the automatic identification of different voice qualities present in a speech signal which is very beneficiary for detecting any kind of speech by an efficient speech recognition system. Proposed technique is based on three important characteristics of speech signal namely Zero Crossing Rate, Short Time Energy and Fundamental Frequency. The performance of the proposed algorithm is evaluated using the data collected from three different speakers and an overall accuracy of 87.2 % is achieved.
Keyword
Zero Crossing Rate, Short Time Energy, Fundamental Frequency, Cepstrum.