Major issues with current methods include robustness against noise, consistency of measurements, interpretation of estimated features from a speech production point of view, and correlation with perception.
In this paper we describe the implementation of a complete ANN training procedure using the block mode back-propagation learning algorithm for sequential patterns – such as the observation feature vectors of a speech recognition system – exploiting the high performance SIMD architecture of GPU using CUDA and its C-like language interface.
The major motivation for defining such a subspace is to extract a low-dimensional identity vector (i.e., the so-called i-vector) from the feature sequence of a speech segment.
Prosodic features of a unit of speech are called suprasegmental features since they affect all the segments of the unit.
To obtain the input features of a sentence, the speech signal is pitch-asynchronously processed and analyzed in the frames of constant duration corresponding to the mean fundamental frequency of a speaker group (different for male/female speakers).
The album's most explicit commentary on gender, featuring an excerpt of a speech by Chimamanda Ngozi Adichie on the socialization of girls, is found on "Flawless".
A Cantonese-speaker cannot simply minimise a few Cantonese features of his speech, moving smoothly towards a standard, to be understood by someone from Beijing.
The spectrum is assumed contains one's personal characteristics, which partially defines the acoustic features of an individual's speech.
Speech comprehension is a challenging task, because there is no one-to-one relationship between phonetic categories and acoustic features of speech sounds and the speech signals produced by different speakers in different contexts are highly variable.
Cannon, in particular, flourishes in embracing these features of Australian speech, crafting a nuanced performance as Quick Lamb.
We note, however, that Arsenault & Buchsbaum (2015) showed somatomotor representations of articulatory features of heard speech during a speaker gender decision task.
