Papers by Tahiya Chowdhury
Evaluating Open-Source ASR Systems: Performance Across Diverse Audio Conditions and Error Correction Methods (2025.coling-main)
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| Challenge: | Automated speech recognition (ASR) systems are able to transcribe spontaneous human conversations with high accuracy. |
| Approach: | They evaluate the accuracy of open source automatic speech recognition systems across conversational speech datasets and explore the potential of ASR ensembling and post-ASR correction methods to improve transcription accuracy. |
| Outcome: | The proposed methods highlight the need for robust error correction techniques and address demographic biases to enhance ASR performance and inclusivity. |