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  2. Harvard sentences - Wikipedia

    en.wikipedia.org/wiki/Harvard_sentences

    IEEE Recommended Practice for Speech Quality Measurements [3] sets out seventy-two lists of ten phrases each, described as the "1965 Revised List of Phonetically Balanced Sentences (Harvard Sentences)." They are widely used in research on telecommunications, speech, and acoustics, where standardized and repeatable sequences of speech are needed.

  3. Pronunciation assessment - Wikipedia

    en.wikipedia.org/wiki/Pronunciation_assessment

    The earliest work on pronunciation assessment avoided measuring genuine listener intelligibility, [10] a shortcoming corrected in 2011 at the Toyohashi University of Technology, [11] and included in the Versant high-stakes English fluency assessment from Pearson [12] and mobile apps from 17zuoye Education & Technology, [13] but still missing in 2023 products from Google Search, [14] Microsoft ...

  4. OpenSMILE - Wikipedia

    en.wikipedia.org/wiki/OpenSMILE

    In contrast to automatic speech recognition which extracts the spoken content out of a speech signal, openSMILE is capable of recognizing the characteristics of a given speech or music segment. Examples for such characteristics encoded in human speech are a speaker's emotion , [ 3 ] age, gender, and personality, as well as speaker states like ...

  5. English grammar - Wikipedia

    en.wikipedia.org/wiki/English_grammar

    Adjective phrases containing complements after the adjective cannot normally be used as attributive adjectives before a noun. Sometimes they are used attributively after the noun , as in a woman proud of being a midwife (where they may be converted into relative clauses: a woman who is proud of being a midwife ), but it is wrong to say * a ...

  6. Speech Recognition Grammar Specification - Wikipedia

    en.wikipedia.org/wiki/Speech_Recognition_Grammar...

    A speech recognition grammar is a set of word patterns, and tells a speech recognition system what to expect a human to say. For instance, if you call an auto-attendant application, it will prompt you for the name of a person (with the expectation that your call will be transferred to that person's phone). It will then start up a speech ...

  7. Natural language processing - Wikipedia

    en.wikipedia.org/wiki/Natural_language_processing

    Given a sentence, determine the part of speech (POS) for each word. Many words, especially common ones, can serve as multiple parts of speech. For example, "book" can be a noun ("the book on the table") or verb ("to book a flight"); "set" can be a noun, verb or adjective; and "out" can be any of at least five different parts of speech. Stemming

  8. Part-of-speech tagging - Wikipedia

    en.wikipedia.org/wiki/Part-of-speech_tagging

    Part-of-speech tagging is harder than just having a list of words and their parts of speech, because some words can represent more than one part of speech at different times, and because some parts of speech are complex. This is not rare—in natural languages (as opposed to many artificial languages), a large percentage of word-forms are ...

  9. Affirmation and negation - Wikipedia

    en.wikipedia.org/wiki/Affirmation_and_negation

    In linguistics and grammar, affirmation (abbreviated AFF) and negation (NEG) are ways in which grammar encodes positive and negative polarity into verb phrases, clauses, or utterances. An affirmative (positive) form is used to express the validity or truth of a basic assertion, while a negative form expresses its falsity.

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