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Speech to Text Conversion System

Speech-to-text conversion is a terminology that refers to translating any words that are spoken into a written form or format. In addition, the process can also be referred to as speech recognition, although there is a slight difference between the two terms. When referring to speech recognition, more emphasis is placed in deciphering the meaning in the speech. In essence, speech recognition tries to understand the context of the spoken words. This essay will analyze the process and the systems used in speech transcription.

The systems employed in converting speeches to texts depend on several models including acoustic and language model among others. In addition, there is another model, which is used with large vocabulary systems. However, there is no speech recognizer for all languages. Therefore, to arrive at the best quality of conversions, the models should be specialized to meet the requirements of each language, the communication channel, and the type of speech being transcribed.

As is with any technological application, speech recognition is not error-free. Several factors can influence the quality of the speech transcript, such the person speaking, the surroundings, and the manner in which the speech is delivered. Speech recognition is not an easy task as many people might think. Indeed, people are accustomed to understanding a speech but not converting it into a text. Therefore, a speech that is well formulated can be converted without many hitches. Quintessentially, the reverse is also true.

Speech-to-text conversion can be undertaken in various ways. The process is influenced by the needs of the end-user, that is, the person who is interested in the conversion. Depending on the needs of the end-user, speech-to-text conversion can be categorized into several groups including dialog system, transcription, text dictation among others. Each category has different features and requirements, which include memory constraints, adaptive features, as well as vocabulary size.

In summary, speech-to-text conversion is the process of changing spoken words into the text format. Several models are required in undertaking the conversion. Each model is adapted to meet the needs of a given language. Speech-to-text conversion process is not without errors, just like any other process that uses or requires technology. In addition, converting a speech into a text can be categorized into various groups depending on the needs of the users. In addition, the chosen format also takes cognizance of certain features and requirements such as the vocabulary size and adaptive feature.

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