Gender Identification by Voice
نویسنده
چکیده
Gender identification by voice is useful in speech-based recognition systems which employ gender-dependent models. Vogt and André [1] suggested that gender differentiation help improve automatic emotion recognition from speech. Harb and Chen [2] reported that classifying speaker’s gender is an important task in the context of multimedia indexing. Our paper will examine the applicability of standard machine learning techniques to the voice-based gender identification problem.
منابع مشابه
Speaker Recognition Robustness to Voice Conversion
Security systems relying on voice identification can be threatened by human voice imitation or synthetic voices. As voice conversion can be seen as a sort of voice imitation, this paper analyses the performance of an automatic speaker identification system by using converted voices in order to know how vulnerable such systems are to this kind of disguise. The experiments are conducted by using ...
متن کاملThe perceptual representation of voice gender.
The perceptual representation of voice gender was examined with two experimental paradigms: identification/discrimination and selective adaptation. The results from the identification and discrimination of a synthetic male-female voice continuum indicated that voice gender perception was not categorical. In addition, results from selective adaptation experiments with natural and synthetic voice...
متن کاملVoice discrimination in cochlear implant users
Abstract Due to the limited processing of spectral cues, voice discrimination might be restricted in cochlear implant (CI) users. A very basic representation of different voices is given by the speaker gender. Important characteristics are the fundamental frequency (f0) and the vocal tract length (VTL) which influences formant frequencies. Based on a natural utterance these parameters were expl...
متن کاملPitch-based gender identification with two-stage classification
Abstract In this paper, we address the speech-based gender identification problem. Mel-Frequency Cepstral Coefficients (MFCC) of voice samples are typically used as the features for gender identification. However, MFCC-based classification incurs high complexity. This paper proposes a novel pitch-based gender identification system with a two-stage classifier to ensure accurate identification an...
متن کاملContribution of Voice Fundamental Frequency and Formants to the Identification of Speaker's Gender
Identification of gender from speech sounds has been found to rely on speakers’ voice fundamental frequency (F0) and formant frequencies. The present study aimed at examining the contribution of F0 and formants to the correct detection of speaker’s gender. Results revealed that F0 is the primary cue for gender perception and listeners showed a higher accuracy in identifying male’s than female’s...
متن کامل