DataFramed #291 Developments in Speech AI with Alon Peleg & Gill Hetz, COO and VP of AI at aiOla
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Mar 13, 2025 
Alon Peleg, COO at aiOla, has over two decades in tech leadership, while Gill Hetz, VP of Research, specializes in data integration and modeling. They dive into the evolution and ethical implications of speech AI, discussing its transformative impact across industries like education and retail. The duo addresses the challenges of language nuances, voice technology in hands-free environments, and the need for specialized models to enhance accuracy. They also explore how speech AI can revolutionize task reporting in sectors like pharmaceuticals.
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Components of Speech AI
- Speech AI has two main components: speech-to-text and text-to-speech.
- It also includes natural language understanding (NLU) to process the meaning of the transcribed speech.
Call Center Automation
- Call centers rarely use humans to answer calls initially.
- Speech-to-text AI transcribes customer inquiries, converting them to workable text data.
Speech AI Challenges
- Speech AI faces three main challenges: accents, background noise, and jargon.
- These elements complicate accurate speech recognition and interpretation.