Speech Recognition Model Training
Richly transcribed speech datasets covering varied accents and speaking styles to train and benchmark ASR systems.
Advanced & 3D Labeling
Audio Annotation Services
Verbatim transcription, speaker diarization, and acoustic event labeling for speech and audio AI.
Overview
Real-world audio is rarely clean — accents shift, speakers talk over each other, background noise interferes, and conversations switch between languages mid-sentence. Our audio annotation teams handle all of it, delivering time-aligned verbatim transcripts, speaker diarization, and acoustic event tagging, with word-error-rate sampling built into QA across a wide range of languages, dialects, and recording conditions.
What's included
- ✓Verbatim and clean-read transcription with precise timestamps
- ✓Speaker diarization and speaker identification
- ✓Acoustic event detection and sound classification
- ✓Phonetic transcription and prosody annotation
- ✓Coverage across multiple languages and accents
- ✓QA sampling based on word-error-rate, with per-batch reporting
Use cases
Contact Center Quality Monitoring
Diarized and labeled call audio to power agent coaching, compliance review, and customer sentiment models.
Voice Assistant & Wake-Word Development
Command and trigger-phrase datasets captured across accents, environments, and background noise levels.
Podcast & Media Content Indexing
Searchable transcripts and speaker-tagged segments to enable content discovery, highlight generation, and archival search.
Frequently asked questions
Can you handle accents, background noise, and code-switching?
Yes — real-world audio is the norm for us, not the exception. We work across accents and dialects and label multi-language segments where speakers switch mid-conversation.
How do you measure transcription accuracy?
We sample batches using word-error-rate against reference transcripts and report it per batch, so quality is measured rather than assumed.
What audio tasks do you cover beyond transcription?
Speaker diarization, acoustic event tagging, and phonetic/prosody annotation, with precise timestamps throughout.
What output formats do you deliver in?
Time-aligned transcripts and labels in the format your pipeline expects — we confirm the exact schema during the pilot.
Ready to scale your audio annotation services?
Start with a pilot batch — see the quality of the data before you commit.