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Asr

Building Voice Agents Just Got Easier

Building Voice Agents Just Got Easier

Anoop Dawar from Deepgram discusses the evolution of voice AI, from basic transcription to sophisticated, real-time voice agents. He covers the key technical challenges in production, such as latency and interruption handling, and introduces Deepgram's Flux system. The talk concludes with a look at the future of speech-to-speech models that can understand emotional nuance, moving closer to passing the audio Turing Test.

Evaluating the Cultural Relevance of AI Models and Products: Insights from the YUX Team

Evaluating the Cultural Relevance of AI Models and Products: Insights from the YUX Team

Drawing from their work fine-tuning an ASR model in Wolof and building a stereotype detection dataset, researchers from YUX share a practical toolbox for evaluating the cultural relevance of AI models and products. The session covers methods for data collection, model benchmarking, user testing, and introduces LOOKA, a platform for scalable human evaluation in the African context.