Data annotation
Data annotation services for machine learning
- High accuracy pre-made datasets available instantly
- A diverse pool of qualified data annotators and speakers for custom requests
- Fast turnaround available in 50 languages
4.2 on Trustpilot
4.6 on Google
What we do
How it works
In order to optimize your own speech recognition models, you need data. Amberscript can help you with pre-made sets of 99% accuracy language samples from native speakers.
Bulgarian, Catalan, Danish, Dutch, English, Finnish, French, German, Greek, Hungarian, Italian, Lithuanian, Norwegian, Polish, Portuguese, Romanian, Russian, Spanish, Turkish and Swedish.
Customer calls – Banking – Insurances – Airlines – Manufacturing – Media – Automotive – Energy – Manufacturing – Telecom
Text and speech recollection
For tailored data of which you can determine desired domain/intent, demographic distribution, and recording device type, Amberscript has a large pool of transcribers in more than 11 languages.
On our data recollection platform, we can transcribe snippets or simulate a variety of audio settings in order to generate the perfect audio dataset for your training requirements.
We always work with native speakers and source speakers who match your demands, available in over 50 languages and more than 75 dialects.
Quick turnaround for all your files
Enabling an accurate flow of audio-to-data
GDPR compliant security and safety
We make audio accessible
Features
Speech collection
Our native speakers will record spontaneous or scripted speech and build a database of audio monologues or dialogues in the frequency you wish.
Lexicon Development
Our language experts will transcribe audio snippets to text to help your models understand the nuances of speech.
Audio-to-data
Our language experts determine emotion, categorize the topic, or identify an important event in a snippet of audio.
Text Named Entity recognition
Our language experts will label people, places, organizations and events in texts.
Text classifications
Sentiments in a text are classified and not easily readable texts are transcribed.
Other
Our pool of transcribes, subtitlers, and annotators are flexible to work in a variety of ways.
Are you interested in
Data annotation services?
Get a project manager assigned dedicated to your success and start working immediately to receive your data fast and at scale
Contact us-
Can you also deliver transcriptions for other media formats?
We deliver data annotation for speech-to-text solutions. However, if you have a special request, please contact our sales team here.
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How do you ensure high quality?
We work with a vast network of professional annotators, who will be trained to your annotation guidelines. All annotations go through rigorous quality checks using our sophisticated data annotation AI.
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How do you ensure the confidentiality of personal data?
Amberscript’s IT infrastructure is built on the server infrastructure of Amazon Web Services located in Frankfurt, Germany. All data that is processed by Amberscript will be stored and processed on highly secured servers with regular back-ups on the same infrastructure.
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How does data annotation work?
Data Annotation is the process of labeling data, which could be in various forms such as images, video, audio or text. Basically data annotation is done using various tools like bounding, semantic segmentation etc. Data labeling is usually done to train various computer models.
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How do you ensure timely delivery of results?
Should you wish to make use of our data annotation services, we will assign a project planner to your project, who will be in close contact to discuss the details and timeline.
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Which kind of specifications do you use for data annotation?
Depending on your needs, we can provide different acoustic models or different linguistic models. To find out more about this, please contact our sales team here.
Meet our
Happy customers
HVA (Amsterdam University of Applied Sciences) – Read case study.
Our research group conducts a lot of interviews. Previously, we worked with our own pool of transcribers.
I’m glad that now our interviews are all transcribed in one place, it saves a lot of time in arranging everything.
Grundl Institute – Read case study
Amberscript offers their service cheaper than the competitors, thanks to a largely automated process. Besides, the customer service is great. Usually, everything runs so smoothly that I don’t even notice anything during the whole process.
Company Webcast – Read case study
In cooperation with Company Webcast, the leading webcasting provider in the Netherlands, Amberscript developed a speech recognition which is specifically trained on political language. Google’s recognition simply wasn’t accurate enough for political terms, names of political parties, or legislations, which are frequently discussed in our clients’ meetings.
Machine-Made Transcription
