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New Spanish speech corpus targets ASR for neurological conditions

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced S-DiverSe, a new corpus of Spanish speech data specifically designed to improve automatic speech recognition (ASR) for individuals with neurological conditions. The dataset comprises 3.2 hours of in-the-wild recordings from 22 Spanish speakers affected by amyotrophic lateral sclerosis, Parkinson's disease, and stroke. S-DiverSe includes 444 transcribed audio segments with metadata on speaker characteristics and condition, aiming to facilitate ASR development and evaluation for this challenging speech domain. Initial experiments suggest that text post-processing methods are more effective than fine-tuning for adapting ASR models to this specialized data. AI

IMPACT This dataset could lead to more accessible speech recognition technology for individuals with neurological conditions.

RANK_REASON The item describes a new academic paper and dataset release. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

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

New Spanish speech corpus targets ASR for neurological conditions

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The item describes a new academic paper and dataset release. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 Deutsch(DE) · Fernando L\'opez, Fernando Iba\~nez, Ana Mart\'inez, Iv\'an Alonso, Pablo G\'omez, Santosh Kesiraju, Jordi Luque ·

    S-DiverSe: Spanish Diverse Speech

    arXiv:2607.03207v1 Announce Type: new Abstract: Automatic speech recognition (ASR) has advanced remarkably for standard speech, yet speech affected by neurological conditions remains a challenge. We present S-DiverSe (Spanish Diverse Speech), a corpus of 3.2 hours of in-the-wild …

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