Speech Technologies
Use logistic regression, naïve Bayes, and word vectors to implement sentiment analysis, complete analogies & translate words Use logistic regression, naïve Bayes, and word vectors to implement sentiment analysis, complete analogies & translate words Use logistic regression, naïve Bayes, and word vectors to implement sentiment analysis, complete analogies & translate words
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Automatic Speech Recognition (ASR) is the process of converting the speech signal into its corresponding text. The quality of ASR systems is measured by how close their recognized sequences of words are to human recognized sequences of words.
Automatically identifying the input dialect from the speech signal. There are four major dialects for Arabic, including Egyptian, Gulf, Levantine and North African in addition to modern standard Arabic (MSA)
Language Modeling aims at accurately estimating the probability distribution of word sequences or sentences produced in a natural language such as Arabic
The Text to Speech (TTS) technology aims to convert a sequence of words into speech