The process of data annotation, for speech, image, video, audio, or text, is a highly specialized task that needs expertise.

When we talk about high quality data, it means that the labels are both accurate and consistent.

By outsourcing data annotation services, companies save time and effort freeing up their in-house data scientists to focus on areas they are experienced in instead of annotating data.Here are a few of data annotation techniques used for specific AI initiatives.Audio Transcription for Speech Recognition Audio transcription is used to train speech recognition models.

High-accuracy audio transcription enables interactions to accurately happen between human speech and AI-based models like smart TVs, phones, virtual assistants, watches, computers, or other in-home or on-the-road technology.Human speech must be accurately recognized to understand not only what words are being spoken but also what they mean.

Text annotation detects and labels words depending on a predetermined set of categories required by an AI company.

Text annotation for Natural Language Processing or NLP helps machines predict and understand the human language more easily.