Papers with ASR accuracy
Synthetic Doctor-Patient Dialogue Generation for Robust Medical ASR: A Scalable Pipeline for Vocabulary Expansion and Privacy Preservation (2026.eacl-industry)
Copied to clipboard
| Challenge: | Existing ASR models struggle with high word error rates (WER) on clinical vocabulary, especially medication names. |
| Approach: | They propose to generate doctor-patient dialogues in both text and audio formats using a curated set of over 124,000 medical terms. |
| Outcome: | The proposed pipeline generated over 1 billion audios with ground truth transcriptions. |
Evaluating Open-Source ASR Systems: Performance Across Diverse Audio Conditions and Error Correction Methods (2025.coling-main)
Copied to clipboard
| 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. |