Bridging the Gap in African-Accented Healthcare Conversations
New benchmark dataset reveals performance gaps in speech recognition technologies
Afrispeech-Dialog introduces the first benchmark dataset of African-accented English conversations in healthcare settings, revealing significant challenges for current speech technologies.
- Dataset includes 50 simulated medical and non-medical conversations with African accents
- Evaluates performance of state-of-the-art speaker diarization and ASR systems
- Reveals limitations in current technologies when processing African-accented speech
- Provides foundation for improving inclusive healthcare communication technologies
This research is critical for medical applications as it highlights the need for more inclusive speech technologies that can accurately process diverse accents in healthcare settings, potentially improving telehealth services and reducing healthcare disparities for African populations.