Sentence examples for characteristics of the speaker from inspiring English sources

Voice quality provides information about the anatomical characteristics of the speaker.

Spatial extent, time, place, and personal characteristics of the speaker are not restricted.

This paper presents a novel wavelet packet filter bank approach to identify non-uniformly distributed dynamic characteristics of the speaker.

For example, the interpretation of vowels depends on the first- and second-formant characteristics of the speaker who utters those vowels (Ladefoged & Broadbent, 1957).

Formants play an important role in human communication, helping us not only to distinguish several different speech sounds [1], but also to extract important information related to the physical characteristics of the speaker, so-called indexical cues.

One of the main problem addressed is how to estimate reliably formant frequencies in high-pitched speech (typical in children and women) and how to normalize these estimations independently of the characteristics of the speakers.

Furthermore, b is also regarded as a bias vector to realize the speaker characteristics of the neutral speaker.

In this way, the phonetic features take into account the intrinsic visual/articulatory characteristic of the speaker.

In this framework, it is possible to exploit the data from different languages to predict speaker-specific characteristics of the target speaker, and consequently, the data sparsity problem will be alleviated.

The reference pattern set consists of N PAT different patterns which shall represent the characteristics of the specific speaker positions including some variations.

Formants are not only important phonetic elements of speech allowing us to distinguish different vowel sounds but also carry important information related to the physical characteristics of the particular speaker.