aidataservices.inAI data collection · India

Voice recording · ASR Model Training

Voice Recording for AI Training for ASR Model Training

Studio voice recording built for model training rather than broadcast: controlled acoustics, consistent mic distance, and reproducible session parameters across every speaker. Applied to asr model training, the specification is driven by one thing: word error rate overall and per dialect.

Request a dataset quoteReply within one working day
Audio waveforms being prepared as ASR training data — Voice Recording for AI Training for ASR Model Training
Service
Voice recording
Use case
ASR Model Training
Primary metric
Word error rate overall and per dialect
01

Required data profile

  • Hundreds to thousands of hours of verbatim-transcribed speech
  • Wide speaker diversity: age, gender, region, education, recording condition
  • Speaker-disjoint train/dev/test splits
Voice recording — ASR Model Training · written into the SOW before recordingSample rate48 kHzBit depth24-bitMicrophoneLarge-diaphragm condenser, fixed distance, pop filterRoomTreated booth, RT60 under 0.3sProcessingNone. No compression, EQ, or noise reduction on delivered a…Your values replace ours rather than being converted after delivery.
02

Technical specification

ParameterStandard
Sample rate48 kHz
Bit depth24-bit
MicrophoneLarge-diaphragm condenser, fixed distance, pop filter
RoomTreated booth, RT60 under 0.3s
ProcessingNone. No compression, EQ, or noise reduction on delivered audio
Session length30-90 minutes per speaker, with breaks logged
Structured dataset packages ready for delivery — supporting voice recording for ai training for asr model training
Structured dataset packages ready for delivery
03

Process

  • Session template definition so every studio in the network records identically
  • Speaker briefing and pronunciation calibration
  • Take-level monitoring with immediate re-record on defect
  • Per-session technical report
  • Delivery with unprocessed masters
04

Metrics this feeds

  • Word error rate overall and per dialect
  • Entity error rate on names and numbers
  • Code-switch token accuracy
05

Failure modes to design out

  • Read-speech-only corpora that do not transfer to spontaneous audio
  • Speaker leakage across splits inflating reported accuracy
  • Normalised-only transcripts with the raw text discarded

Delivered audio is never processed. Training pipelines should see the raw capture so augmentation stays under your control.

06

Deliverables

  • Unprocessed WAV masters
  • Session logs
  • Take-level metadata
  • Speaker consent records

Frequently asked

Is voice recording the right service for asr model training?

It covers hundreds to thousands of hours of verbatim-transcribed speech. Most asr model training programmes combine it with at least one other service; we will say so in the scope rather than selling one line item.

What languages are available?

All 14 languages in the network plus Indian English accent bands.

How is the evaluation set handled?

Collected first, from speakers disjoint from the training cohort, so improvement is measurable.

Scope voice recording for asr model training

Send the metric you need to move.

Request a dataset quote