All subjects had a comprehensive neuropsychological assessment including measures of voice perception (vocal size, gender, speaker discrimination) and voice recognition (familiarity, identification, naming and cross-modal matching) and equivalent measures of face and name processing.
For this figure, an additional masking threshold was introduced, and the mask in (11) was only set to 1, if the source of interest was greater than all other sources by at least dB, that is, if (12). Figure 1 Performance of an ideal binary mask, tested on 12 pairs of same-and mixed-gender speakers.
The existence of different contents, genders, speakers, and speaking styles raise complications because these properties have direct affect on the features such as pitch, and energy contours [2].
The distribution of [Z] showed an interaction among speaker proficiency, speaker gender, and talker dialect.
In our experiments, and by considering the gender of speakers, as it can be inferred from Table 5 (without a LM, i.e., experiments that numbered by subscript ), we can notice that female speakers give better system overall accuracy.
This study examined how speaker gender and talker proficiency affected realization of Taiwan Min /dz/ among young speakers of the 漳 Chiang and Mix dialect.
However, this tendency was much affected by speaker gender and talker proficiency.
In other words, speaker gender and talker proficiency not only affect one's variant choices, but also affect one's consistency with regard to these choices.
Dental nonsibilants and velar obstruents showed more complex distributions involving both gender and speaker dialect.
Speech database consists of three subsets (see the Table 1): The first part is characterized by gender-balanced speakers, contains 250 h of speech recordings obtained from 250 speakers together and consists of two parts: APD1 and APD2 databases.
