… speech recognition systems robust and efficient. For gender identification we evaluate a
speech database recorded from fifty speakers, which contains their speech samples. Then we …

… If the similarity degree between the voice sample and the template exceeds a predefined …
for gender recognition systems. Section IV describes speech recording and feature extraction …

… in gender classification using voice shall give insights to how humans process voice information.
… Regarding the techniques of feature extraction, each sub figure has its description as …

… contains paralinguistic properties used in automatic speech recognition (ASR) systems. …
such as gender recognition, which is the main goal of this paper. Gender recognition has been …

… classification. This research investigates an automatic gender and age recognizer from
speech… twelve MFCCs are used to extract relevant features to recognize the gender. K-NN has …

… set of features used for recognizing the voice gender. Among the most common features utilized
for voice gender recognition … the speech signals as an input for a set of feature extraction …

… of a model for “Voice feature extraction for Emotion and Gender Recognition”. The … meaning
of speech. Here we intend to use voice feature extraction to identify the gender and emotion …

… , we can save extra computation on feature extraction for gender recognition modules of
ASR. More tests will be conducted with phonemes extracted from continuous Hindi speech. …

… about the gender identification process for speech signals using three different features namely
Pitch … was used for classification of features extracted from the speech signal using signal …

… as well as general speech feature such as fundamental … Many methods of gender classification
from speech signal … windowing was used before feature extraction. The LPC coefficients …