Audio annotation services
High-quality annotated data for NLP and Conversational AI applications
Comprehensive audio annotation solutions
Enterprise-Grade Project Management
We deliver audio annotation projects as a fully managed service – covering planning, technical setup, and execution from start to finish. Each engagement includes a dedicated project manager who coordinates timelines, monitors quality, and keeps communication clear so your team can stay focused on building next-generation AI.
Specialized Global Workforce
Through LXT and our subsidiary clickworker, we tap into a global pool of more than 7 million qualified contributors and 250K+ domain experts. Spanning 150+ countries and over 1,000 language locales, our network provides native speakers, regional dialect expertise, and subject-matter knowledge for precise, culturally relevant audio labeling.
Rigorous Multi-Layer QA
All audio annotations undergo a structured, multi-stage review process. Quality checks are performed by trained specialists, with final validation against agreed-upon benchmarks before delivery. For high-security projects, annotation work can be completed inside one of our five secured facilities, ensuring strict compliance and data protection.
LXT for audio annotation
With LXT, you can quickly build a reliable data pipeline to power your Natural Language Processing (NLP) and Conversational AI solutions and focus your time on building the technologies of the future. The combination of our audio annotation platform, managed crowd, and quality methodologies delivers the high-quality data you need so you can build more accurate AI solutions and accelerate your time to market. Every client engagement is customized to fit the needs of your specific use case, and our quality guarantee ensures that our clients receive training data that meets or exceeds quality expectations.
Our audio annotation services include:
Acoustic noise annotation
Natural language annotation
Tag speech for semantics, dialect, sentiment, and linguistic nuances.
Audio classification
Offensive language identification
Event tracking and timestamping
Speaker diarization
Linguistic annotation
Multi-label non-speech audio annotation
Audio annotation related services:
Speech-to-text transcription
Convert speech recordings into text for training and evaluation purposes.
Audio evaluation
Review and assess audio quality for continuous improvement of AI models.
Secure audio annotation services
Our enterprise security framework addresses the unique challenges of processing voice and sound data. We offer supervised annotation in secure, access-controlled facilities, ensuring sensitive audio remains protected at every stage.
Our facilities are ISO 27001 certified, SOC 2, GDPR, and HIPAA compliant, providing a strong foundation for secure audio workflows.
Top industry uses of audio annotation
Audio annotation supports a wide range of applications across industries, enabling AI models to process, understand, and respond to spoken language and environmental sounds with greater accuracy. Organizations use it to improve customer engagement, increase operational efficiency, and unlock new capabilities in voice-driven technology.
Customer service & contact center
Train virtual agents, improve speech analytics, and enhance customer interactions through more accurate voice recognition.
Automotive
Power in-car voice assistants, enable hands-free navigation, and improve driver–vehicle communication systems.
Healthcare
Annotate clinical recordings for precise medical transcription, diagnostics support, and AI-assisted healthcare solutions.
Education & eLearning
Support automated grading, language learning tools, and speech training applications.
Media & entertainment
Enhance captioning accuracy, improve searchability of audio content, and support content moderation.
Security & surveillance
Detect keywords, identify speakers, and monitor environments for unusual or critical sound events.
Audio annotation for AI
Audio annotation is a type of data labeling covering the classification of sounds - whether they are human, music, animal, or environmental. This data annotation type is essential for building accurate natural language processing (NLP) models for a wide range of speech-based solutions including automated speech recognition (ASR), chatbots, digital assistants and in-car systems.
With increasing customer expectations when it comes to the speed and
quality of customer service, including engagement with voice AI devices,
the quality of the data used to train Conversational AI has, in turn, become increasingly critical.
Further data annotation services
Broaden your AI training data with our complete suite of annotation services.
Data annotation
Comprehensive data labeling solutions across modalities – image, video, audio, and text – to train accurate and reliable AI models.
Image annotation
High-quality image labeling for object detection, image classification, semantic segmentation, and visual search AI.
Video annotation
Detailed video labeling for motion tracking, activity recognition, scene segmentation, and complex object interactions.
Text annotation
Custom text tagging, including sentiment, intent, classification, and entity recognition, to strengthen NLP and generative AI applications.
