mlsanityData to 14 Oct 2026

The Interspeech 2025 Speech Accessibility Project Challenge

arXiv 2507.22047 ↗First posted 29 Jul 2025cs.AIcited by 9

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Abstract (arXiv)

While the last decade has witnessed significant advancements in Automatic Speech Recognition (ASR) systems, performance of these systems for individuals with speech disabilities remains inadequate, partly due to limited public training data. To bridge this gap, the 2025 Interspeech Speech Accessibility Project (SAP) Challenge was launched, utilizing over 400 hours of SAP data collected and transcribed from more than 500 individuals with diverse speech disabilities. Hosted on EvalAI and leveraging the remote evaluation pipeline, the SAP Challenge evaluates submissions based on Word Error Rate and Semantic Score. Consequently, 12 out of 22 valid teams outperformed the whisper-large-v2 baseline in terms of WER, while 17 teams surpassed the baseline on SemScore. Notably, the top team achieved the lowest WER of 8.11%, and the highest SemScore of 88.44% at the same time, setting new benchmarks for future ASR systems in recognizing impaired speech.

Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). Builds on 8 of its 15 references that are in the map. First posted on arXiv 29 Jul 2025.

Builds on

8 of 15 references.

References · 8

  1. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,372
  2. 2019BERTScore: Evaluating Text Generation with BERTcited by 5,512
  3. 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 4,057
  4. 2020ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Contextcited by 97
  5. 2019EvalAI: Towards Better Evaluation Systems for AI Agentscited by 34
  6. 2021NeMo Inverse Text Normalization: From Development To Productioncited by 29
  7. 2022MENLI: Robust Evaluation Metrics from Natural Language Inferencecited by 18
  8. 2025Aligning ASR Evaluation with Human and LLM Judgments: Intelligibility Metrics Using Phonetic, Semantic, and NLI Approachescited by 7

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 8.

9 papers.

  1. 2026Training-Free Cross-Lingual Dysarthria Severity Assessment via Phonological Subspace Analysis in Self-Supervised Speech Representationscited by 2
  2. 2025Confidence-Guided Error Correction for Disordered Speech Recognitioncited by 1
  3. 2026MetaSICL: Globalizing Auditory LLMs for Underserved Speakers and Languages via Meta Speech In-Context Learningcited by 1
  4. 2026FiLM-Based Speaker Conditioning of a SpeechLLM for Pathological Speech Recognitioncited by 1
  5. 2026Transcript-Free Flow-Matching Text-to-Speech via Speech Feature Conditioningcited by 1
  6. 2026Huntington Disease Automatic Speech Recognition with Biomarker Supervisioncited by 0
  7. 2026Phonological Subspace Collapse Is Aetiology-Specific and Cross-Lingually Stable: Evidence from 3,374 Speakerscited by 0
  8. 2026Augmenting Dysarthric Speech Severity Assessment with MOS Supervisioncited by 0
  9. 2026S-DiverSe: Spanish Diverse Speechcited by 0