Handle background noise in speech, sound, and speaker data.
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Training models for speech, sound, or language tasks
Delays due to complex, noisy audio data
Providing annotated audio for industries like media and healthcare
Need fast, accurate annotations to meet demand
Using AI for voice assistants or sound monitoring
Struggling with large volumes of unannotated audio
Creating annotated datasets for studies
Short on time and resources for manual annotation
Improve your model’s ability to recognize spoken words with accurately labeled audio data.
Train models to detect emotions in audio using sentiment-labeled voice data.
Identify and distinguish between multiple speakers in an audio file through precise speaker annotation.
Classify environmental sounds or events in audio recordings with annotated sound categories.
Convert speech to text with accurately transcribed and annotated audio datasets.
Improve your model’s ability to recognize spoken words with accurately labeled audio data.
Train models to detect emotions in audio using sentiment-labeled voice data.
Identify and distinguish between multiple speakers in an audio file through precise speaker annotation.
Classify environmental sounds or events in audio recordings with annotated sound categories.
Convert speech to text with accurately transcribed and annotated audio datasets.
Submit your audio data for a free trial.
Check the pilot results for quality and budget fit.
Get a customized proposal for your ML project.
Begin the annotation process with our multilingual team.
Receive annotations promptly to meet your deadlines.
Send your sample data to get the precise cost FREE
Reviews
Check our performance based on a free trial
Pay per labeled object or per labeling hour
Working with every labeling tool, even your custom tools
Work with a data-certified vendor: PCI DSS Level 1, ISO:2700, GDPR, CCPA
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Label Your Data were genuinely interested in the success of my project, asked good questions, and were flexible in working in my proprietary software environment.
Kyle Hamilton
PhD Researcher at TU Dublin
Trusted by ML Professionals
Not at all. We offer 3 flexible pricing options:
Short term for one-off projects like academic research
On-demand for seasonal projects when you need additional workforce
Long term for a streamlined data annotation workflow
We calculate according to how much time is spent on your object annotation. That’s why the pilot project is also valuable for us – we get to calculate the expenses
As soon as we clarify details on your dataset. You’ll get a reply within this or the next work day.
Absolutely! We’re flexible with any tools you want us to work in.
We earned several data compliance certificates to prove our dedication to data security:
PCI DSS Level 1
ISO:27001
GDPR
CCPA
After we sign the NDA, we make sure to anonymize your data for our employees to prevent any data leaks.
To annotate audio files, you use software tools to tag key elements such as speech segments, sounds, or speaker changes. This can involve marking specific time stamps, labeling words, or identifying background sounds. If you want to avoid the hassle, our team at Label Your Data can handle the entire process, ensuring accuracy even in noisy or complex audio files.
Voice annotation is the process of labeling specific parts of a voice recording, such as identifying speakers, transcribing spoken words, or tagging emotions. It’s commonly used for training AI models in speech recognition, customer service analytics, and virtual assistants. At Label Your Data, we deliver accurate and efficient voice annotation tailored to your project needs.
At Label Your Data, we use our custom-built tools designed for precise and efficient audio annotation. If you have a preferred tool, our team is flexible and can work with your chosen platform. We ensure a smooth annotation workflow regardless of the tool used.