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Polski(PL) W testach opisanych przez firmę NVIDIA wskaźnik błędu słów dla dialektów najdi i hidżazi spadł po dostrojeniu z około 55 do 30 proc. Do treningu posłużył zbiór

Nvidia improves Arabic dialect speech recognition with fine-tuning

By PulseAugur Editorial · [1 sources] ·

Nvidia has fine-tuned a speech model to improve its performance on Arabic dialects, specifically Najdi and Hijazi. This tuning process reduced the word error rate from approximately 55% to 30%. The training data utilized for this improvement consisted of recordings from Saudi Arabian television programs. AI

IMPACT This fine-tuning effort demonstrates progress in making AI speech models more inclusive and accurate for diverse linguistic communities.

RANK_REASON The item describes a technical improvement to an AI model by a major company, fitting the research category. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Nvidia improves Arabic dialect speech recognition with fine-tuning

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3 / 100
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The item describes a technical improvement to an AI model by a major company, fitting the research category. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 Polski(PL) · aisight ·

    In tests described by NVIDIA, the word error rate for Najdi and Hijazi dialects dropped from about 55% to 30% after fine-tuning. The training used a dataset

    W testach opisanych przez firmę NVIDIA wskaźnik błędu słów dla dialektów najdi i hidżazi spadł po dostrojeniu z około 55 do 30 proc. Do treningu posłużył zbiór nagrań z saudyjskich programów telewizyjnych. # si # ai # sztucznainteligencja # wiadomości # informacje # technologia h…

    LINKS aisight.pl/…/nvidia-dostrojila-model-mowy… aisight.pl/…/generatory-obrazow-ai-stereo…

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