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While SAS was originally developed for data analysis, it became an important language for data storage. [5] SAS is one of the primary languages used for data mining in business intelligence and statistics. [29] According to Gartner's Magic Quadrant and Forrester Research, the SAS Institute is one of the largest vendors of data mining software. [24]
Concatenative synthesis for music started to develop in the 2000s in particular through the work of Schwarz [2] and Pachet [3] (so-called musaicing). The basic techniques are similar to those for speech, although with differences due to the differing nature of speech and music: for example, the segmentation is not into phonetic units but often into subunits of musical notes or events.
Readability is the ease with which a reader can understand a written text.The concept exists in both natural language and programming languages though in different forms. In natural language, the readability of text depends on its content (the complexity of its vocabulary and syntax) and its presentation (such as typographic aspects that affect legibility, like font size, line height ...
Deep learning speech synthesis refers to the application of deep learning models to generate natural-sounding human speech from written text (text-to-speech) or spectrum . Deep neural networks are trained using large amounts of recorded speech and, in the case of a text-to-speech system, the associated labels and/or input text.
Some programs can use plug-ins, extensions or add-ons to read text aloud. Third-party programs are available that can read text from the system clipboard. Microsoft Speech Server is a server-based package for voice synthesis and recognition. It is designed for network use with web applications and call centers.
Prior to the advent of macOS, the classic Mac OS system regarded the content of a file (the data fork) to be a text file when its resource fork indicated that the type of the file was "TEXT". [7] Lines of classic Mac OS text files are terminated with CR characters. [8] Being a Unix-like system, macOS uses Unix format for text files. [8]
Text inferencing describes the tacit or active process of logical induction or deduction during reading. Inferences are used to bridge current text ideas with antecedent text ideas or ideas in the reader's store of prior world knowledge. Text inferencing is an area of study within the fields of cognitive psychology and linguistics. Much of the ...
Reading is the process of taking in the sense or meaning of symbols, often specifically those of a written language, by means of sight or touch. [1] [2] [3] [4]For educators and researchers, reading is a multifaceted process involving such areas as word recognition, orthography (spelling), alphabetics, phonics, phonemic awareness, vocabulary, comprehension, fluency, and motivation.