An ASR product team (illustrative) · Speech AI · Audio, Text
High-accuracy transcription with diarization across scripts
Human transcription with timestamping, segmentation and speaker diarization across multiple scripts, delivered to consistent formatting standards (UTF-8, standardized punctuation, project annotation tags).
By Cognegica Quality & Standards · QA & annotation-standards team
Timestamped · diarized · UTF-8 standardized
Languages: Hindi, Tamil, Telugu, Bengali, Marathi (+ more scripts from the registry)
Illustrative scenario. This case study describes a representative methodology rather than a specific client engagement.
Challenge
An ASR product team had audio across several Indian-language scripts but needed transcripts accurate and consistent enough to train and evaluate on — with speaker turns, timestamps and non-speech events captured, not just raw text. Generic transcription couldn't hold orthographic accuracy or diarization across scripts.
Approach
We applied the seven Cognegica transcription standards:
- Native-linguist transcribers for each language and script, not generic typists.
- Orthographic accuracy to the conventions of each script.
- Timestamping and segmentation at a defined granularity.
- Speaker identification and diarization across multi-speaker recordings.
- Non-speech event annotation — [noise], [laughter], [music], [overlapping speech].
- Dialect and accent considerations handled by native linguists.
- Data formatting and consistency: UTF-8, standardized punctuation, consistent spacing and project annotation tags.
Outcome
Timestamped, diarized, consistently formatted transcripts across multiple scripts — with non-speech events tagged and orthography held to each script's conventions — giving the team training and evaluation text they could rely on.
Representative engagement illustrating Cognegica's transcription standards. Accuracy figures, hours transcribed and turnaround are scoped per project and available under NDA.
The seven transcription standards
Transcription with diarization, step by step
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1
Native-linguist transcribers
Each language and script handled by native linguists, not generic typists.
Linguist proficiency verified
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2
Orthographic accuracy
Transcribed to the orthographic conventions of each script.
Orthography review
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3
Timestamp and segment
Timestamping and segmentation at a defined granularity.
Segment boundaries checked
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4
Diarize speakers
Speaker identification and diarization across multi-speaker recordings.
Speaker labels reviewed
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5
Tag non-speech events
Annotate [noise], [laughter], [music] and [overlapping speech].
Event-tag consistency
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6
Format consistently
UTF-8, standardized punctuation, consistent spacing and project annotation tags.
Formatting standard pass
How this maps to what we do
The services and data behind this engagement
This outcome was delivered with the same rights-cleared, documented services and datasets you can engage today.
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Data Annotation
Transcription, diarization, timestamping and QA on speech data.
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Multilingual Data Collection
Where the source audio comes from when it doesn't exist yet.
Explore the service -
Code-Switched Hinglish & Tanglish Conversation Set
Diarized code-switched conversation in the catalog.
View data card
About this engagement
Questions buyers ask about transcription
- Do you diarize multi-speaker audio?
Yes. Speaker identification and diarization are a core part of the transcription standard, alongside timestamping and segmentation.
- How do you handle non-speech events?
We annotate non-speech events explicitly — [noise], [laughter], [music] and [overlapping speech] — so downstream models can account for them.
- What formatting do you deliver in?
UTF-8 with standardized punctuation, consistent spacing and project annotation tags, applied uniformly across the delivery.
- What accuracy can you commit to?
Accuracy targets are set against the project's quality bar and reviewed under our QA process. Specific figures are scoped per project and available under NDA.
Transcribe speech your model can actually learn from.
See how we structure engagements and indicative pricing, or tell us your languages, modalities and quality bar for a scoped quote.
Written by
Cognegica Quality & Standards
QA & annotation-standards team
Cognegica Quality & Standards is the internal team that defines and enforces our annotation guidelines, multi-layer QA, native-linguist review and inter-annotator agreement reporting. This is an editable team identity — a named reviewer with a public profile can be assigned to it later in the admin.