{ "id": "AIBD-0319", "title": "Te Hiku Media's te reo Māori speech recognition may be 92% accurate; archive transcription tests with the University of Auckland, RNZ and Ngā Taonga are under way", "summary": "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.", "date_observed": "2024-03-18", "date_basis": "unassessed", "date_precision": "unassessed", "benefit_status": null, "source_collection": null, "source_entry": null, "account": "Te Hiku Media, a charitable iwi media and technology organization in Kaitaia, New Zealand, built its own te reo Māori automatic speech recognition. MIT Technology Review (22 April 2022) described a ten-day community competition in 2018. It collected “310 hours of speech-text pairs from some 200,000 recordings made by roughly 2,500 people”. From that, bootstrapping an open-source Mozilla model, “Te Hiku created its very first te reo speech recognition model with 86% accuracy”. The tools are offered through the Papa Reo platform. NVIDIA's blog (16 January 2024) says the model “transcribes te reo Māori with 92% accuracy” using the NeMo toolkit. An RNZ release of 11 September 2024 quotes Te Hiku chief executive Peter-Lucas Jones in te reo giving the same 92% figure. The University of Auckland announced on 18 March 2024 that its Archive of Māori and Pacific Sound is working with Te Hiku Media. They are testing it on archival recordings with different dialects, recording qualities and sung forms. Automatic output is compared “against human-generated ones”, with results to be shared with the galleries, libraries, archives and museums sector. It says the tool “is performing very well for their purposes” in Te Hiku's broadcasting arm. RNZ and Ngā Taonga Sound & Vision agreed in September 2024 to supply previously broadcast te reo recordings to train and review the tools. No cited source reports a measured outcome for a speaker, learner or archive user. The accuracy figures originate with Te Hiku Media and NVIDIA.", "category": "general benefit", "unexpected": false, "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.", "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_version": null, "developer": "Te Hiku Media (Kaitaia, New Zealand)", "deployer": "Te Hiku Media; test partners Archive of Māori and Pacific Sound (University of Auckland), RNZ and Ngā Taonga Sound & Vision", "location": "Kaitaia and Auckland, New Zealand", "domain": "Language technology / Indigenous language revitalisation", "segment": "Iwi media and audiovisual archives", "benefit_type": "Improved Task Accuracy", "taxonomy_note": "The documented good is recognition accuracy; serving te reo Maori speakers would be inclusion, but no speaker outcome is reported.", "registry_ids": {}, "ratings": [ { "group": "organizational", "depth": null, "reason": "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." }, { "group": "societal", "depth": null, "reason": "Benefits to te reo speakers and learners are the stated aim; no cited source measures them." } ], "ai_role": { "status": "assessed", "statement": "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." }, "evidence": [ { "kind": "press release", "citation": "University of Auckland (2024). Putting te reo artificial intelligence to the test. News, 18 March 2024.", "title": "Putting te reo artificial intelligence to the test", "url": "https://www.auckland.ac.nz/en/news/2024/03/18/te-reo-artificial-intelligence.html", "date": "2024-03-18", "written_by": "deployer", "quote": "This ever-evolving tool is performing very well for their purposes, providing their audience with an alternative way of exploring their output." }, { "kind": "press release", "citation": "University of Auckland (2024), same article, on the test design.", "title": "Putting te reo artificial intelligence to the test", "url": "https://www.auckland.ac.nz/en/news/2024/03/18/te-reo-artificial-intelligence.html", "date": "2024-03-18", "written_by": "deployer", "quote": "This project will see a sampling of recordings put through the automatic transcription process, then the output compared against human-generated ones" }, { "kind": "news report", "citation": "Hao K (2022). A new vision of artificial intelligence for the people. MIT Technology Review, 22 April 2022.", "title": "A new vision of artificial intelligence for the people", "url": "https://www.technologyreview.com/2022/04/22/1050394/artificial-intelligence-for-the-people/", "date": "2022-04-22", "written_by": "independent", "quote": "Te Hiku created its very first te reo speech recognition model with 86% accuracy." }, { "kind": "press release", "citation": "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).", "title": "Māori Speech AI Model Helps Preserve and Promote New Zealand Indigenous Language", "url": "https://blogs.nvidia.com/blog/te-hiku-media-maori-speech-ai/", "date": "2024-01-16", "written_by": "makers", "quote": "Te Hiku Media's automatic speech recognition model transcribes te reo Māori with 92% accuracy using trustworthy AI and the NVIDIA NeMo toolkit." }, { "kind": "press release", "citation": "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).", "title": "Media collaboration to develop Māori language tools", "url": "https://www.rnz.co.nz/media/226", "date": "2024-09-11", "written_by": "deployer", "quote": "a review of the tools to check for improved handling of dialect nuances and the accuracy of transcription, in particular for names no longer in use." } ], "replication": { "produced_by": [ "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" ], "must_hold": [ "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)" ], "echoes": [ { "date": "2024-09-11", "setting": "RNZ and Ngā Taonga archive-access agreement to train and review the tools on historical te reo broadcasts", "model_version": null, "outcome": "unknown", "source": "https://www.rnz.co.nz/media/226" } ] }, "paired_incident": null, "headline": "Te Hiku Media's te reo Māori recognition may be 92% accurate", "metric": "transcribes te reo Māori with 92% accuracy", "comparator": { "against": "te reo Māori speech recognition attempts by major tech companies", "before": null, "after": "an accuracy of 92%", "basis": "assumed", "quote": "Our tools already outperform attempts by major tech companies at te reo Māori ASR, with an accuracy of 92%.", "url": "https://www.rnz.co.nz/media/226" }, "later": { "status": "scaled", "date": "2024-09-11", "note": "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.", "quote": "RNZ is in the process of integrating the Papa Reo API into its workflows, initially adding transcribed audio to the search capability and then allowing it to add captions to its player in the near future.", "url": "https://www.rnz.co.nz/media/226" }, "value": null, "developer_country": "New Zealand", "deployer_country": "New Zealand", "unrated_because": null, "brief_notes": null, "brief": null, "revisions": [ { "date": "2026-10-20", "change": "Record drafted from the cited sources.", "source": null, "editor": "AIBD" }, { "date": "2026-10-21", "change": "Headline reworded to state the event without naming who claims it.", "source": null, "editor": "AIBD" }, { "date": "2026-10-21", "change": "Title reworded to state the event without naming who claims it.", "source": null, "editor": "AIBD" }, { "date": "2026-10-21", "change": "Added what the benefit is measured against, what happened since from the cited sources.", "source": "https://www.rnz.co.nz/media/226; https://www.rnz.co.nz/media/226", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Benefit type set to Improved Task Accuracy under Trustible's full taxonomy of 23 types; it was Improved Accessibility among the six first used.", "source": "https://trustible.ai/post/a-framework-for-measuring-the-benefits-of-ai/", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Country of the developer and the deployer added from the organization's own site or a registry.", "source": "https://tehiku.nz/; https://tehiku.nz/", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Prose pass: a rating reason, account, purpose, the replication conditions, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.", "source": null, "editor": "AIBD" }, { "date": "2026-10-22", "change": "Organization name standardized to Te Hiku Media.", "source": null, "editor": "AIBD" } ], "confidence": "reported", "shade": "medium", "claim_status": "Independently reported", "claim_basis": "Sources: one independent news report, the makers' press release and two press releases from the deployer. The cited evidence includes no independent study or report and no finding by a regulator or court.", "profile": { "case_id": "AIBD-0319", "catalog_version": "1.0.0", "source_fingerprint": "bf2371c20b4c7276d2ddb9a009ac394e61d6aca8bfb9cddac61b871ff041efff", "collection_refs": [ { "collection_id": "aibd", "version": "snapshot-8bf7cfec9cb185aa" }, { "collection_id": "aibd", "version": "2026-10-25" } ], "source_ids": [ "AIBD-0319-source-0001", "AIBD-0319-source-0002", "AIBD-0319-source-0003", "AIBD-0319-source-0004", "AIBD-0319-source-0005" ], "families": { "strategic assessments": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "record_ids": [] }, "evaluations": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "record_ids": [] }, "monetary observations": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "record_ids": [] }, "institutional decisions": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "record_ids": [] } }, "fields": { "actors[]": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "developer": "Te Hiku Media (Kaitaia, New Zealand)", "deployer": "Te Hiku Media; test partners Archive of Māori and Pacific Sound (University of Auckland), RNZ and Ngā Taonga Sound & Vision" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "developer", "deployer" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "actors[].ownership_control": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "ai_contribution": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "ai_role": { "status": "assessed", "statement": "The accuracy figures come from Te Hiku Media. 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train and review the tools.", "quote": "RNZ is in the process of integrating the Papa Reo API into its workflows, initially adding transcribed audio to the search capability and then allowing it to add captions to its player in the near future.", "url": "https://www.rnz.co.nz/media/226" } } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "later" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "human_oversight": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "id": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "id": "AIBD-0319" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "id" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, 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"fields": { "account": "Te Hiku Media, a charitable iwi media and technology organization in Kaitaia, New Zealand, built its own te reo Māori automatic speech recognition. MIT Technology Review (22 April 2022) described a ten-day community competition in 2018. It collected “310 hours of speech-text pairs from some 200,000 recordings made by roughly 2,500 people”. From that, bootstrapping an open-source Mozilla model, “Te Hiku created its very first te reo speech recognition model with 86% accuracy”. The tools are offered through the Papa Reo platform. NVIDIA's blog (16 January 2024) says the model “transcribes te reo Māori with 92% accuracy” using the NeMo toolkit. An RNZ release of 11 September 2024 quotes Te Hiku chief executive Peter-Lucas Jones in te reo giving the same 92% figure. The University of Auckland announced on 18 March 2024 that its Archive of Māori and Pacific Sound is working with Te Hiku Media. They are testing it on archival recordings with different dialects, recording qualities and sung forms. Automatic output is compared “against human-generated ones”, with results to be shared with the galleries, libraries, archives and museums sector. It says the tool “is performing very well for their purposes” in Te Hiku's broadcasting arm. RNZ and Ngā Taonga Sound & Vision agreed in September 2024 to supply previously broadcast te reo recordings to train and review the tools. No cited source reports a measured outcome for a speaker, learner or archive user. The accuracy figures originate with Te Hiku Media and NVIDIA.", "benefit_type": "Improved Task Accuracy" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "account", "benefit_type" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "outcomes[].distribution": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "outcomes[].duration": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "outcomes[].id": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "outcomes[].stakeholder_group": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "ratings": [ { "group": "organizational", "reason": "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." }, { "group": "societal", "reason": "Benefits to te reo speakers and learners are the stated aim; no cited source measures them." } ] } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "ratings" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "outcomes[].status": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "outcomes[].tradeoffs": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "outcomes[].unexpected": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "unexpected": false, "purpose": "Built to transcribe te reo Māori recordings so that archives and broadcasts become searchable and readable by learners, under Māori data-sovereignty rules. 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Automatic output is compared “against human-generated ones”, with results to be shared with the galleries, libraries, archives and museums sector. It says the tool “is performing very well for their purposes” in Te Hiku's broadcasting arm. RNZ and Ngā Taonga Sound & Vision agreed in September 2024 to supply previously broadcast te reo recordings to train and review the tools. No cited source reports a measured outcome for a speaker, learner or archive user. The accuracy figures originate with Te Hiku Media and NVIDIA." } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "summary", "account" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "systems[].autonomy_permissions": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].component_role": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].deployment_configuration": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].inputs_outputs": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].model_name": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].model_version": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].product_name": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "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)" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "system" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "systems[].provider": { "state": "value_present", "value": { "kind": "structured", "data": { "application_developer": "Te Hiku Media (Kaitaia, New Zealand)" } }, "provenance": { "kind": "legacy_record", "basis": "Mapped from the existing case description without a new external source review.", "record_fields": [ "developer" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "taxonomy_crosswalks[]": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "title": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "title": "Te Hiku Media's te reo Māori speech recognition may be 92% accurate; archive transcription tests with the University of Auckland, RNZ and Ngā Taonga are under way", "headline": "Te Hiku Media's te reo Māori recognition may be 92% accurate" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "title", "headline" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "version": { "state": "value_present", "value": { "kind": "identifiers", "identifiers": [ "bf2371c20b4c7276d2ddb9a009ac394e61d6aca8bfb9cddac61b871ff041efff" ], "role": "SHA-256 of normalized original case data" }, "provenance": { "kind": "curatorial", "basis": "Deterministic content version assigned by the local migration.", "record_fields": [], "source_refs": [] }, "review_state": "record_mapped", "coverage": "complete" }, "workflow": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "account": "Te Hiku Media, a charitable iwi media and technology organization in Kaitaia, New Zealand, built its own te reo Māori automatic speech recognition. MIT Technology Review (22 April 2022) described a ten-day community competition in 2018. It collected “310 hours of speech-text pairs from some 200,000 recordings made by roughly 2,500 people”. From that, bootstrapping an open-source Mozilla model, “Te Hiku created its very first te reo speech recognition model with 86% accuracy”. The tools are offered through the Papa Reo platform. NVIDIA's blog (16 January 2024) says the model “transcribes te reo Māori with 92% accuracy” using the NeMo toolkit. An RNZ release of 11 September 2024 quotes Te Hiku chief executive Peter-Lucas Jones in te reo giving the same 92% figure. The University of Auckland announced on 18 March 2024 that its Archive of Māori and Pacific Sound is working with Te Hiku Media. They are testing it on archival recordings with different dialects, recording qualities and sung forms. Automatic output is compared “against human-generated ones”, with results to be shared with the galleries, libraries, archives and museums sector. It says the tool “is performing very well for their purposes” in Te Hiku's broadcasting arm. RNZ and Ngā Taonga Sound & Vision agreed in September 2024 to supply previously broadcast te reo recordings to train and review the tools. No cited source reports a measured outcome for a speaker, learner or archive user. The accuracy figures originate with Te Hiku Media and NVIDIA.", "replication": { "produced_by": [ "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" ], "must_hold": [ "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)" ], "echoes": [ { "date": "2024-09-11", "setting": "RNZ and Ngā Taonga archive-access agreement to train and review the tools on historical te reo broadcasts", "outcome": "unknown", "source": "https://www.rnz.co.nz/media/226" } ] } } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "account", "replication" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" } }, "summary": { "total": 91, "addressed": 91, "known": 28, "reviewed": 0, "record_mapped": 28, "not_assessed": 63, "complete": false, "by_state": { "value_present": 28, "not_reported": 0, "unresolved": 0, "not_assessed": 63, "not_applicable": 0, "withheld": 0, "source_unavailable": 0 } } } }