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Automatic speech recognition (ASR) systems often exhibit uneven performance across accents, raising concerns about fairness and bias This study investigates the impact of model fine-tuning strategies on ASR performance and accent-related disparities Feb 23, 2024 · This study investigates Whisper's automatic speech recognition (ASR) system performance across diverse native and non-native English accents Results reveal superior recognition in American compared to British and Australian English accents with similar performance in Canadian English Oct 10, 2025 · Pre-trained transformer-based models have significantly advanced automatic speech recognition (ASR), yet they remain sensitive to accent and dialectal variations, resulting in elevated word error rates (WER) in linguistically diverse languages such as English and Persian Discover how accent bias impacts speech recognition accuracy and learn strategies to improve AI models for diverse accents Oct 24, 2023 · In this work, we propose a novel accent adaptation approach for end-to-end ASR systems using cross-attention with a trainable set of codebooks These learnable codebooks capture accent-specific information and are integrated within the ASR encoder layers Analysis and investigating the confounding effect of accents in end-to-end Automatic Speech Recognition models - archiki ASR-Accent-AnalysisMar 17, 2024 · Accented Speech Recognition: A Survey Abstract Automatic Speech Recognition (ASR) systems generalize poorly on accented speech The phonetic and linguistic variability of accents present hard challenges for ASR systems today in both data collection and modeling strategies Voice recognition systems often struggle with accented speech, leading to higher word error rates (WER) for certain speaker groups Multiple studies have documented accent bias in AI speech recognition:It is trained on a controlled Japanese accent-error dataset, constructed by changing accent patterns using an accent-controllable text-to-speech system, with a pseudo accent-quality score computed from the accent-error rate Jan 2, 2025 · Explore key evaluation metrics for speech recognition models, including WER, CER, and SeMaScore, and their impact on transcription accuracy