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It is commonly used to generate representations for speech recognition (ASR), e.g. the CMU Sphinx system, and speech synthesis (TTS), e.g. the Festival system. CMUdict can be used as a training corpus for building statistical grapheme-to-phoneme (g2p) models [1] that will generate pronunciations for words not yet included in the dictionary.
The language is intended to be easy to use by developers while supporting the accurate specification of pronunciation information for international use. The language allows one or more pronunciations for a word or phrase to be specified using a standard pronunciation alphabet or if necessary using vendor specific alphabets.
For example, you may pronounce cot and caught the same, do and dew, or marry and merry. This often happens because of dialect variation (see our articles English phonology and International Phonetic Alphabet chart for English dialects). If this is the case, you will pronounce those symbols the same for other words as well. [1]
So readers looking up an unfamiliar word in a dictionary may find, on seeing the pronunciation respelling, that the word is in fact already known to them orally. By the same token, those who hear an unfamiliar spoken word may see several possible matches in a dictionary and must rely on the pronunciation respellings to find the correct match. [4]
A text-to-speech system (or "engine") is composed of two parts: [3] a front-end and a back-end. The front-end has two major tasks. First, it converts raw text containing symbols like numbers and abbreviations into the equivalent of written-out words. This process is often called text normalization, pre-processing, or tokenization.
It is found in many dictionaries, where it is used to indicate the pronunciation of words, but most American dictionaries for native English-speakers, e.g., American Heritage Dictionary of the English Language, Random House Dictionary of the English Language, Webster's Third New International Dictionary, avoid phonetic transcription and instead ...
A single letter may even fill multiple pronunciation-marking roles simultaneously. For example, in the word ace, e marks not only the change of a from /æ/ to /eɪ/, but also of c from /k/ to /s/. In the word vague, e marks the long a sound, but u keeps the g hard rather than soft.
The first published English grammar was a Pamphlet for Grammar of 1586, written by William Bullokar with the stated goal of demonstrating that English was just as rule-based as Latin. Bullokar's grammar was faithfully modeled on William Lily's Latin grammar, Rudimenta Grammatices (1534), used in English schools at that time, having been ...
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