8 citations · 22 across the 8 of their papers we have counts for
3 papers · 1 filter
How to Evaluate Automatic Speech Recognition: Comparing Different Performance and Bias Measures
Tanvina Patel, Wiebke Hutiri, Aaron Yi Ding +1
There is increasingly more evidence that automatic speech recognition (ASR) systems are biased against different speakers and speaker groups, e.g., due to gender, age, or accent. R…
Improving child speech recognition with augmented child-like speech
Yuanyuan Zhang, Zhengjun Yue, Tanvina Patel +1
State-of-the-art ASRs show suboptimal performance for child speech. The scarcity of child speech limits the development of child speech recognition (CSR). Therefore, we studied chi…
Using Data Augmentations and VTLN to Reduce Bias in Dutch End-to-End Speech Recognition Systems
Tanvina Patel, Odette Scharenborg
Speech technology has improved greatly for norm speakers, i.e., adult native speakers of a language without speech impediments or strong accents. However, non-norm or diverse speak…