Significance of Superior Quality Annotated Training Data in Medical Industry

If the situations are true and realistic that is when the training data becomes effective. It becomes more valuable and comes to good use in healthcare. As a result, annotated training data has gained immense popularity and especially when the annotation is done using superior quality training data sets. If the raw data and the …

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Significance of Detection and Correction of Speech Recognition Errors

ASR (Automatic speech recognition) has evolved and hence is extensively used for commercial purposes. Consequently, the chances of error rate are higher in most speech recognition areas. It is one of the main obstructions when it comes to the implementation of speech technology. This is especially in the case of applications with a larger volume …

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Benefits of Speech Recognition

Speech recognition plays a crucial role as it provides voice-enabled assistance for patients. The technology enhances the level of patient engagement during the process of medical treatment outside the care center. For instance, patients can request a voice-enabled assistant for recording their symptoms and provide details of their illness or general health concerns. Speech recognition …

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Different Categories of Audio Classification

Environmental Sound Classification The audio annotators are required to classify several sounds that attributes to distinct environments. Some specific sounds are related to cities like car horns, construction, sirens and other such sounds this particular classification comes in the best use to create security systems that recognize break-ins sound and also for predictive upkeep. Acoustic …

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How Does Speech Annotation Work in ML for NLP?

In an audio file, the speech comprises distinct sentences and words that are available for the listeners. To make such phrases understandable in the audio files to machines is feasible through a special data labelling technology during audio annotation. The machine logarithms in NLU or NLP for speech recognition requires linguistic audio annotation to distinguish …

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An Overview of Audio Annotation

Speech or audio recorded regardless of the type of format is made comprehendible to machines with the help of Machine Learning. The speech recognition units that are NLP-based (natural language processing) need annotated audios for making such sounds audible and understandable to applications such as virtual-assistant devices and chatbots. The healthcare sector offers audio annotation …

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