Intelligent Speech Labeling Services
Managed, model‑assisted annotation for speech, audio, and conversational AI training.
High‑fidelity annotation for ASR, NLP, and voice AI systems.
Andovar Annotate delivers linguistically rich speech annotation across accents, acoustics, and languages. Combining automated transcription tools with human review, we ensure precisely labeled speech datasets for model training, evaluation, and fine‑tuning — enabling real‑world performance in conversational AI, call analytics, and multimodal assistants.
AI‑accelerated processing with expert human validation.
Our model‑assisted pipelines integrate ASR pre‑transcription, diarization, and acoustic tagging, then route data through vetted annotators for contextual labeling and verification. From speech segmentation to intent tagging, every annotation is traceable, versioned, and quality‑checked to meet enterprise compliance standards.
Speaker Diarization
Identify and label speakers in multi‑party audio.
Transcription Alignment
Map spoken content with timestamps and word‑level alignment.
Intent & Entity Tagging
Structure conversational data for chatbot, IVR, and NLP models.
Acoustic Event Labeling
Annotate background sounds, noise types, or environmental cues.
Emotion & Sentiment Annotation
Enrich speech data with tonal and affective context.
Powering global voice innovation.
Conversational AI
Train natural, context‑aware voice assistants and chatbots.
Language Research
Build corpora covering low‑resource languages, dialects, and speech variations.
Call Center Analytics
Tag agent–customer dialogues for sentiment, compliance, and performance insights.
Media & Entertainment
Annotate podcasts, interviews, or dubbing projects for indexing and retrieval.
Healthcare & Telemedicine
Label speech for transcription engines that process clinical conversations securely.
Automotive & Navigation
Support in‑vehicle voice command systems and hands‑free interfaces.
Consumer Electronics
Train embedded voice assistants across accents and acoustic conditions.
Security & Forensics
Analyze audio evidence for speaker identification or event detection.
Accessibility Technology
Annotate speech and non‑speech audio for captioning and assistive systems.
Education & E‑learning
Enable voice‑driven assessments, pronunciation feedback, and accessibility solutions.
Automatic Speech Recognition (ASR)
Build and refine models for multilingual, code‑switched, and domain‑specific speech.
Scalable, secure, and linguistically adaptable.
Model‑Assisted Accuracy
AI pre‑labeling accelerates throughput and enhances consistency.
Linguistic Expertise
Native‑level annotators ensure semantic and phonetic precision.
Custom Ontologies
Define tags, entities, and intents aligned with project goals.
Elastic Scaling
Adapt dynamically across languages, domains, and volume tiers.
Auditable Pipelines
Maintain version control and full process traceability for every data asset.