Same same but different. Each audio and machine learning use case is unique and therefore needs customised data. Speech, sentiment, tones, notes, instruments, events or scenes… we have supported a variety of different projects with various forms and granularity of data and annotations. In order to guarantee.
Our workforce is ready on-demand. You can upload your data manually or via API and we return high-accuracy labels within the shortest possible time horizon. With intelligent preselection algorithms we are able to select the best annotation experts for your task. We have annotated vast amounts of audio and caN react to traffic peaks.
No dataset is too large, no dataset too complicated. We can scale our capacities and develop solutions to fulfil your specific needs. We are providing an enterprise solution for the growing demand of annotated audio data. As a scalable, high quality data provider we help pushing your application to the next level.
Garbage in, garbage out. High quality labels are the gold standard for every machine learning application. That’s why we rely on highly skilled audio professionals. Our team is individually trained on specific tasks to ensure high labelling accuracies. We have encountered the pitfalls of audio machine learning projects and can assist you in the setup and preparation.
$20 / 1000 annotations
We are discussing your use case in order to understand how we can best tackle the challenge together.
By sharing a snapshot of your data, we assess our labeling strategy and give you a time & pricing indication.
Based on your guidelines, we create references and qualify our team for your data structures.
We‘ provide annotations on a small test set of audio and discuss your feedback to improve the process.