How to use Speech AI systems for podcast hosting, editing, and monetization

Generative AI is impacting various industries, including the $13.7 billion podcast industry. Companies are leveraging Speech AI transcription and Audio Intelligence to gain a competitive edge in podcast hosting, editing, and monetization platforms. This technology involves automatic speech recognition (ASR) for transcribing human speech into readable text, audio intelligence models for unlocking critical information from spoken data, large language models (LLMs) for building high-quality Generative AI features on top of voice data, and frameworks for LLMs to unify a user's AI stack. Podcast hosting platforms are incorporating Speech AI for accurate subtitles, building intelligent tools like show notes generators, and enhancing podcast recommendation engines using topic detection models. Podcast editing platforms use Speech AI for transitions, audio clipping, and productivity-augmenting tools such as auto-SEO tags and social media post suggestions. Lastly, podcast monetization is enhanced with the help of speech AI models that serve relevant ads, detect sensitive content, and ensure brand safety initiatives are met. Many leading podcast platforms like Spotify are integrating Speech AI into their services to provide better user experiences and improve accessibility and compliance standards.