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Speakers vary their speed of speaking according to contextual and physical factors. A typical speaking rate for English is 4 syllables per second, [5] but in different emotional or social contexts the rate may vary, one study reporting a range between 3.3 and 5.9 syl/sec, [6] Another study found significant differences in speaking rate between story-telling and taking part in an interview.
Praat (/ p r ɑː t / PRAHT, Dutch: ⓘ; transl. "Talk") is a free, open-source computer software package widely used for speech analysis and synthesis in phonetics [4] and other fields of linguistics. It was designed and continues to be developed by Paul Boersma and David Weenink at the University of Amsterdam. [4]
The first version was released around the year 2000 under the name EAT, Eudico Annotation Tool. It was renamed to ELAN in 2002. Since then, two to three new versions are released each year. It is developed in the programming language Java with interfaces to platform native media frameworks developed in C, C++, and Objective-C.
Flex (fast lexical analyzer generator) is a free and open-source software alternative to lex. [2] It is a computer program that generates lexical analyzers (also known as "scanners" or "lexers").
POLQA covers a model to predict speech quality, [3] [4] by means of digital speech signal analysis. The predictions of those objective measures should come as close as possible to subjective quality scores as obtained in subjective listening tests. Usually, a Mean Opinion Score (MOS) is predicted.
Perceptual Evaluation of Speech Quality (PESQ) is a family of standards comprising a test methodology for automated assessment of the speech quality as experienced by a user of a telephony system. It was standardized as Recommendation ITU-T P.862 [1] in 2001. PESQ is used for objective voice quality testing by phone manufacturers, network ...
Tone is the use of pitch in language to distinguish lexical or grammatical meaning—that is, to distinguish or to inflect words. [1] All oral languages use pitch to express emotional and other para-linguistic information and to convey emphasis, contrast and other such features in what is called intonation, but not all languages use tones to distinguish words or their inflections, analogously ...
Sentiment analysis (also known as opinion mining or emotion AI) is the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information.
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