Episode 209 - AI-Powered Pronunciation: Conquering Tricky TTS

This episode of Two Voice Devs, recorded before the exciting announcement of OpenAI's GPT-4o Realtime and Audio previews, tackles a classic developer challenge: taming unruly text-to-speech (TTS) engines. Triggered by a listener question, Allen and Mark dive into the frustrating inconsistencies of TTS pronunciation, particularly when dealing with dynamically generated text from LLMs. They explore the limitations of SSML, experiment with phoneme alphabets like X-SAMPA, and even ponder the possibility of multimodal LLMs generating perfect audio natively – a concept now realized with models like GPT-4o Realtime and Audio! While Mark and Allen don't discuss these new models directly, their insights on pronunciation control, leveraging existing tools, and integrating LLMs with TTS remain incredibly relevant. Join us for a conversation that foreshadows the future of AI-powered voice development and offers practical strategies for achieving flawless pronunciation, even in the pre-realtime audio era. These techniques and discussions offer valuable context and potential solutions even as new, more advanced models emerge. Timestamps: [00:00:00] Introduction and Listener Question: The challenge of inconsistent TTS pronunciation. [00:02:01] The Problem in Action: Hear how Google TTS mispronounces a seemingly straightforward phrase. [00:02:52] Exploring SSML Solutions: The pros and cons of using SSML tags for pronunciation control. [00:04:15] The Generative Text Challenge: How to handle correct pronunciation when text is dynamically generated. [00:07:58] The Phoneme Alphabet Approach: Using X-SAMPA to specify pronunciation directly. [00:09:06] A Live Experiment: Allen demonstrates his phoneme-based solution using AI Studio and Gemini. [00:10:51] Testing Edge Cases: Exploring the limitations of the phoneme approach with past tense verbs. [00:12:19] The Multimodal LLM Dream (Now a Reality?): Allen and Mark discuss the potential of LLMs generating perfect audio. [00:13:20] Alternative Approaches: Mark suggests using parts-of-speech tagging for enhanced context. [00:15:16] The Future of TTS (Then and Now): Discussing the evolution of text-to-speech technology and its integration with LLMs, including reflections relevant to the latest preview models like GPT-4o Realtime and Audio. [00:17:22] Community Call to Action: Share your solutions and insights on handling tricky TTS pronunciations! How do the latest LLM advancements impact your approach? Our thanks to bonadio (https://github.com/bonadio) for their question. #GenerativeAI #GenAI #TextToSpeech #TTS #MultimodalLLM #Multimodal #BuildWithGemini #OpenAI #GPT4o #GPT4oRealtime #GPT4oAudio #VoiceFirst