Active listening before automation
The team is trained to follow fast Mandarin speech, speaker changes, corrections, and implied context before turning the recording into a readable transcript.
Quality
Quality control for Mandarin transcripts that people rely on.
The workflow is built around human listening, stenography discipline, terminology control, speaker tracking, number checks, and clear handling rules for sensitive materials.
Quality & confidentiality
Stenography discipline turned into transcript quality control.
For decision-critical Mandarin recordings, quality is not just cleaning up ASR text. It starts with trained human listening, fast capture, speaker awareness, and review habits built for live and near-live speech.
ASR and AI may support comparison and quality checks, but they do not define the delivery standard. Our use of tools is governed by discrimination — knowing where a tool can help, and where a tool would introduce errors. Sensitive projects can be handled through an offline manual workflow when cloud tools are not appropriate.
Terminology and context control
Client glossaries, reference materials, prior project notes, and context are used to stabilize business, technical, and mixed-language terms.
Speaker and number verification
Speaker labels, names, organizations, dates, amounts, percentages, and units receive extra attention because small errors can change the meaning of the record.
Uncertainty is marked, not hidden
When audio quality, overlapping speech, or uncertain terminology prevents a confident call, the transcript can mark the point for client review instead of guessing.
Confidential handling options
NDA terms, access control, retention, deletion, and offline manual processing can be scoped before sensitive materials are transferred.
Human accountability
Machine transcription and AI can assist comparison, but final responsibility stays with trained human reviewers who understand the material and delivery context.
Process
A controlled workflow for complex Mandarin recordings.
Each project moves from risk scoping to human transcription, targeted review, and final delivery. For recurring work, terminology and preferences are carried forward rather than reset each time.
01
Scope the risk
Confirm language mix, terminology density, speaker-label needs, number sensitivity, confidentiality rules, and delivery format before work begins.
02
Prepare references
Collect available glossaries, company names, product names, prior files, and formatting preferences so the transcript does not start from zero.
03
Transcribe and review
Produce a human-led transcript, then check terminology, speakers, numbers, omissions, readability, and uncertain points.
04
Deliver and retain
Deliver the final document, apply agreed retention or deletion rules, and carry forward confirmed terminology and preferences for recurring work.
Human transcription remains the primary workflow. ASR and AI are optional support layers and can be excluded for confidential offline manual projects.