Multilingual Speech Dataset Services for Pangeanic

The Client Need

Pangeanic required speech data that could be used by engineering teams rather than treated as a loose collection of audio files. The work needed consistent transcripts, segmentation, metadata, quality checks, and clear dataset packaging for downstream ASR and evaluation use.

What NLPConsultancy Supplied

We engineered the speech data preparation across target languages to provide an actionable asset:

• Speech-data preparation across target languages, speaker profiles, and acoustic conditions.
• Human transcription, segmentation, normalisation, and reviewer adjudication workflows.
• QA sampling, issue logs, train/dev/test split recommendations, and delivery manifests.
• Delivery-ready packages in audio plus JSON, CSV, or TSV metadata formats.

Dataset Characteristics

The delivered corpora featured deep structural tagging. Crucial metadata fields captured language, accent, channel, device, speaker profile, and specific recording conditions, allowing engineering teams to filter and benchmark specific slices of the data.

Quality & Validation Process

Data passed through human QA loops. We employed transcription adjudication workflows, ensuring that discrepancies were resolved by reviewers, while precise segmentation and train/dev/test splits were enforced for consistent machine learning evaluation.

Outcome for Pangeanic

• Pangeanic received engineering-ready speech assets that could be reviewed, ingested, and reused more easily.
• The dataset structure improved visibility of language, accent, channel, and acoustic-condition coverage.
• Human QA and delivery documentation reduced ambiguity for model evaluation and procurement review.
• Reusable splits and metadata made future ASR comparisons easier to reproduce.