Search results
Results from the WOW.Com Content Network
A child speech corpus is a speech corpus documenting first-language language acquisition. Such databases are used in the development of computer-assisted language learning systems and the characterization of children's speech at difference ages. [1] Children's speech varies not only by language, but also by region within a language.
If separating words using spaces is also permitted, the total number of known possible meanings rises to 58. [38] Czech has the syllabic consonants [r] and [l], which can stand in for vowels. A well-known example of a sentence that does not contain a vowel is Strč prst skrz krk, meaning "stick your finger through the neck."
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 ...
The comparative uses the word "mai" before the adjective, which operates like "more" or "-er" in English. For example: luminos → bright, mai luminos → brighter. To weaken the adjective, the word "puțin" (little) is added between "mai" and the adjective, for example mai puțin luminos → less bright. For absolute superlatives, the gender ...
A speech corpus (or spoken corpus) is a database of speech audio files and text transcriptions. In speech technology , speech corpora are used, among other things, to create acoustic models (which can then be used with a speech recognition or speaker identification engine). [ 1 ]
Language acquisition is the process by which humans acquire the capacity to perceive and comprehend language.In other words, it is how human beings gain the ability to be aware of language, to understand it, and to produce and use words and sentences to communicate.
Children have to learn to distinguish different sounds and to segment the speech stream they are exposed to into units – eventually meaningful units – in order to acquire words and sentences. One reason that speech segmentation is challenging is that unlike between printed words, no spaces occur between spoken words.
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.