Te Hiku Media's te reo Māori recognition may be 92% accurate

Iwi broadcaster's ASR, trained on 310 hours of community recordings (86% accuracy, 2022), reported at 92% in 2024; archive tests announced in 2024 with results to come; no speaker outcome documented.

AI system

System

Te Hiku Media te reo Māori automatic speech recognition and transcription tool (Papa Reo platform; trained with Mozilla DeepSpeech-era open-source tooling, later NVIDIA NeMo)

Model

Not assessed

Release

Not assessed

Application developer

Te Hiku Media (Kaitaia, New Zealand)

Role

Not assessed

Configuration

Not assessed

Inputs and outputs

Not assessed

Autonomy

Not assessed

Workflow

A community-contributed read-speech corpus (310 hours in ten days) held under Te Hiku Media's data-sovereignty rules. Bootstrapping from open-source speech models and, later, NVIDIA's NeMo toolkit.

Human oversight

Not assessed

Relation to AI

The accuracy figures come from Te Hiku Media. MIT Technology Review reported 86% in 2022. NVIDIA, a tooling vendor, and Te Hiku's chief executive through RNZ stated 92% in 2024. The University of Auckland's independent test compares outputs against human transcripts, with results to follow. No cited source reports an outcome for any speaker, learner or archive beyond the developer's own broadcasting use.

AI contribution

The accuracy figures come from Te Hiku Media. MIT Technology Review reported 86% in 2022. NVIDIA, a tooling vendor, and Te Hiku's chief executive through RNZ stated 92% in 2024. The University of Auckland's independent test compares outputs against human transcripts, with results to follow. No cited source reports an outcome for any speaker, learner or archive beyond the developer's own broadcasting use.

Benefits

Outcome identifiers

Not assessed

Benefit

transcribes te reo Māori with 92% accuracy

Category

Improved Task Accuracy

Status

Not assessed

Beneficiary groups

Organizations. Society.

Beneficiaries

Not assessed

Reach

Not assessed

Distribution and access

Not assessed

Duration

Not assessed

Expected?

Yes

Costs and harms

Not assessed

Measurement

Studies

Not assessed

Study design

Not assessed

Measurement

Not assessed

Setting and sample

Not assessed

Measures

transcribes te reo Māori with 92% accuracy

Comparison

Assumed alternative: te reo Māori speech recognition attempts by major tech companies

Results

Assumed comparison. Result: an accuracy of 92%.

Additional value from AI

Not assessed

Limitations

Not assessed

Denominators

Not assessed

Materials for replication

Not assessed

Money

Kind of value

Not assessed

Amount

Not assessed

Currency and prices

Not assessed

Period and unit

Not assessed

Realization

Not assessed

Recipients and payers

Not assessed

Gross or net

Not assessed

Included costs

Not assessed

Comparison

Not assessed

Method

Not assessed

Return and payback

Not assessed

People and places

Participants

Developer: Te Hiku Media (Kaitaia, New Zealand). Operator: Te Hiku Media; test partners Archive of Māori and Pacific Sound (University of Auckland), RNZ and Ngā Taonga Sound & Vision.

Jurisdictions

Benefit: Kaitaia and Auckland, New Zealand. Developer: New Zealand. Operator: New Zealand.

Ownership and control

Not assessed

Dependencies

Not assessed

Cross-border connections

Not assessed

Geopolitical implications

Not assessed

Follow-up

Conditions for replication

Recordings resemble the training data. The 2024 tests deliberately probe regional dialects, recording quality and sung forms such as mōteatea and waiata. Archive holders license recordings on the partners' conditions (no pecuniary gain, previously broadcast material only).

Replication attempts

1 follow-up entries. Outcome unresolved: 1.

Later findings

11 September 2024. RNZ announced on 11 September 2024 that it is integrating Te Hiku's Papa Reo API into its workflows for search and captions, with RNZ and Ngā Taonga supplying archival te reo broadcasts to train and review the tools.

Availability

Not assessed

Institutional decision

Not assessed

Grounds

Not assessed

Action and result

Not assessed

Success criterion

Not assessed

Evidence

Source numbers

AIBD-0319-source-0001–0005

Citations

Numbered references below.

Language

Not assessed

Source relationships

Operator, Independent, Developer

Original evidence

Not assessed

Access and versions

Not assessed

Supported findings

Not assessed

Evidence strength

Not assessed

Missing evidence

Not assessed

Grades

Assessed benefits

Organizations. Society.

Depth

Not assessed

Reasons

Organizations: Te Hiku Media and its archive partners report the tool performs well for broadcasting and are testing it on archival material. No measured time saving or completed archive transcription is documented. Society: Benefits to te reo speakers and learners are the stated aim; no cited source measures them.

Observed or intended

Not assessed

Rubric

Not assessed

Assessor and date

Not assessed

Alternative assessments

Not assessed

Fill

Independently reported

Entry details

Kind

Not assessed

Field

Language technology / Indigenous language revitalisation. Iwi media and audiovisual archives.

Purpose

Built to transcribe te reo Māori recordings so that archives and broadcasts become searchable and readable by learners, under Māori data-sovereignty rules. The transcription tests are that intended use.

Dates

Date basis unassessed: 2024 (precision unassessed). Updated: 22 October 2026.

Stage

Not assessed

Version

SHA-256: bf2371c20b4c…

References

Other identifiers

Not assessed

Category mappings

Not assessed

Brief

Not assessed

Revisions

8 revisions. Latest: 22 October 2026.

Sources

  1. News report Independent author

    Hao K (2022). A new vision of artificial intelligence for the people. MIT Technology Review, 22 April 2022.

  2. Press release Deployer

    University of Auckland (2024). Putting te reo artificial intelligence to the test. News, 18 March 2024.

  3. Press release Developer

    Lee A (2024). Māori Speech AI Model Helps Preserve and Promote New Zealand Indigenous Language. NVIDIA Blog, 16 January 2024 (NVIDIA supplies the NeMo toolkit and hardware).

  4. Press release Deployer

    RNZ (2024). Media collaboration to develop Māori language tools. RNZ media release, 11 September 2024 (RNZ is a data partner of Te Hiku Media in this agreement).