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Trusted by 100+ Customers
Who We Serve
ML Engineers
Training models for speech recognition, sound event detection, or language identification
Struggling with delays in labeling complex or noisy audio data
Dataset Providers
Supplying labeled audio for security, healthcare, and media industries
Needing fast and accurate audio labeling to meet client demands
AI-Powered Business
Using ML for voice assistants, customer analytics, or sound monitoring
Overwhelmed by mass volumes of raw data needing consistent labeling
Academic Researchers
Creating labeled audio datasets for studies or language research
Lacking time and resources for manual audio labeling
Check Your Audio Labeling Needs
Speech Recognition
Sentiment Analysis
Speaker Diarization
Event and Sound Classification
Audio-To-Text Transcription
Voice Assistants
Automated Customer Support
Language Learning
Improve your model’s ability to recognize spoken words with accurately labeled audio data.
Call Center Analysis
Social Media Monitoring
Therapeutic Apps
Train models to detect emotions in audio using sentiment-labeled voice data.
Business Meetings
Court Transcriptions
Identify and distinguish between multiple speakers in an audio file through precise speaker annotation.
Smart Home Security
Wildlife Monitoring
Urban Noise Mapping
Classify environmental sounds or events in audio recordings with annotated sound categories.
Media Subtitling
Accessibility Tools
Academic Research
Convert speech to text with accurately transcribed and annotated audio datasets.
Speech Recognition
Voice Assistants
Automated Customer Support
Language Learning
Improve your model’s ability to recognize spoken words with accurately labeled audio data.
Sentiment Analysis
Call Center Analysis
Social Media Monitoring
Therapeutic Apps
Train models to detect emotions in audio using sentiment-labeled voice data.
Speaker Diarization
Business Meetings
Court Transcriptions
Identify and distinguish between multiple speakers in an audio file through precise speaker annotation.
Event and Sound Classification
Smart Home Security
Wildlife Monitoring
Urban Noise Mapping
Classify environmental sounds or events in audio recordings with annotated sound categories.
Audio-To-Text Transcription
Media Subtitling
Accessibility Tools
Academic Research
Convert speech to text with accurately transcribed and annotated audio datasets.
How It Works
Free Pilot
Submit your audio data for a free trial and assess our labeling services risk-free.
QA
Review the results to ensure they meet your accuracy and budget requirements.
Proposal
Get a proposal tailored to your specific audio labeling project needs.
Start Labeling
Begin the audio labeling process with our team to move your project forward.
Delivery
Receive your labeled audio data on time, keeping your project on track.
Calculate Your Cost
Estimates 
Send your sample data to get the precise cost FREE
Reviews
What Our Clients Say
"We were impressed by the labeled data quality as well."
Label Your Data makes significant progress toward the goal of enhancing the client’s algorithm performance. The team works quickly to deliver annotations and annotators with extensive experience in the field. Their project management is straightforward, making for a smooth engagement.
Roman Lutsyshyn
CEO, NLP Development Company
"They’re willing to drop everything to fulfill our needs and keep us happy."
Demonstrating a profound dedication to the project, Label Your Data consistently provides near-perfect deliverables at a cost-effective price. Thanks to their help, the client has been able to be more flexible with their work. Their impressive turnaround time further enhances the solid partnership.
Jack Hopkins
CTO, Raveler Ltd
"Their flexibility and ability to work with multiple languages are impressive."
LYD showed high quality and flexibility and convinced us from day one with their high passion for delivering a great service. We currently evaluate further possibilities to further involve them in our initiatives and projects.
Luca van Skyhawk
VP of Customer Success, Hypatos GmbH
“I’m impressed with how easy our communication with the team is and how simple and effective the processes are."
Label Your Data’s support has been crucial in developing the client’s computer vision perception algorithms.
Piotr Swierczynski
Director of Engineering, NODAR
"The Label Your Data team was always available for questions."
Label Your Data provided the client with high-quality annotations and added to the number of annotations in the client’s portfolio. The team was consistently available for questions or updates that needed to be added to the data set.
Josha Bharadwa
Software Architect, Searidge Technologies
"They are flexible, dedicated, and their processes are well organized."
Label Your Data sends out weekly data annotation for the client to review. So far, the platform hasn’t had any issues and they are focusing on enhancing the platform since it was launched in November 2020. Their expertise shows productive results as the project progresses.
Asad Lesani
CEO, Blue City Technology
Why Projects Choose Label Your Data
No Commitment
Check our performance based on a free trial
Flexible Pricing
Pay per labeled object or per labeling hour
Tool-Agnostic
Working with every labeling tool, even your custom tools
Data Compliance
Work with a data-certified vendor: PCI DSS Level 1, ISO:2700, GDPR, CCPA
Start Free Pilot
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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
FAQs
What is audio labeling?
Audio labeling involves tagging parts of an audio file, like speech, sounds, or specific speakers, to make it easier for machine learning models to process. Whether identifying key words in a conversation or distinguishing different sound events, audio labeling improves AI systems like virtual assistants or audio monitoring tools.
How do I annotate audio files?
Annotating audio files involves breaking down the audio and tagging key elements like speech segments, sounds, or speaker changes. You’d typically use software to mark these sections, which can get complicated with overlapping sounds or background noise. To avoid these hurdles, you can trust the process to Label Your Data. We handle the entire audio labeling process so you can focus on building your models.
What is the tool used for audio annotation?
At Label Your Data, we use our in-house tools specifically designed for accurate and efficient audio annotation. However, if you have a preferred tool, our team is flexible and can work with the platform of your choice. We ensure your project is managed seamlessly, no matter the tool used.