← Text to Speech

Text to Speech

103 episodes · Page 4 of 5

#2781: When Voice AI Features Enable Fraud

Voice AI platforms now let you simulate background noise, hesitation, and natural conversation — and that's a problem.

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#2618: Text Normalization's Hidden Complexity

How to handle acronyms in text-to-speech pipelines using BERT models, lexicons, and layered preprocessing.

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#2591: Decoupling Script from Voice

How dynamic voice replacement could let listeners choose who narrates each host's lines.

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#2512: How Speech-to-Speech Models Eliminate the Robot Voice

Why AI voice agents sound robotic, and how natively integrated speech-to-speech models fix it.

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#2510: The Design That Makes Voice Agents Tolerable

Drive-thru accuracy, healthcare triage, and the design secret that makes people *want* to talk to a machine.

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#2443: How Podcast RSS Feeds Can Speak Every Language

One RSS feed, a transcript tag, and TTS voice cloning — the emerging standard for letting any podcast speak any language.

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#2311: Danish AI: Bridging the Localization Gap

How does AI handle Danish? Explore the challenges and progress in making AI tools work for small-language populations.

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#2303: The Serverless Paradox: Why TTS Eats Your Budget

How batch processing and smart queue management can slash TTS costs for episodic podcast production.

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#2183: Making Voice Agents Feel Natural

Turn-taking, interruptions, and latency are destroying voice AI UX—and the fixes are deeply technical. Here's what's actually happening underneath.

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#1810: Why Your TTS Sounds Great in English, Terrible Everywhere Else

English AI voices are polished, but global languages hit a wall. Here's why text-to-speech breaks down for Hebrew, Hindi, and beyond.

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#1809: The TTS Developer's Dilemma: Size vs. Speed

Stop guessing. We break down the critical trade-offs between model size, latency, and sample rate for production-ready voice apps.

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#1808: The Architecture That Made AI Voices Run on a Raspberry Pi

How a model the size of a tweet outperforms billion-dollar giants in the race for perfect AI speech.

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#1778: Audio Is the New "Read Later" Graveyard

Why listening to AI conversations beats reading dense PDFs, and how serverless GPUs make it cheap.

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#1740: Why Open Source Is a Power Tool Strategy

We dissect Resemble AI's Chatterbox to see how its open-source TTS compares to commercial giants like ElevenLabs.

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#1734: You vs. Your Digital Twin: Who Wins?

Your AI clone is getting scarily good. We explore the tech behind high-fidelity digital twins and the uncanny valley of your own voice.

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#1724: When AI Dubbing Swaps Your Gender

How does YouTube translate a video with one click? We explore the tech behind auto-dubbing, from sandwich models to voice cloning.

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#1715: Why Voice Agents Need Frameworks (Not Just APIs)

Raw APIs handle models, but who manages the audio plumbing? We break down Vapi, LiveKit, and Pipecat.

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#1585: The End of the Digital Sandwich: How AI Learns to Speak Your Language

Explore how new omnilingual models are collapsing the Tower of Babel, moving from rigid translation to a universal understanding of human speech.

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#1564: The Death of the Cascaded Pipeline

Forget basic transcription. Explore how native omni-modal models are capturing the "soul" of speech with near-instant latency.

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#1558: Why Small AI Models Beat Giants at Language

Why use a nuclear reactor to toast a bagel? Discover why specialized, "sovereign" AI models are outperforming the giants in precision.

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#1542: Unmasking the Whistleblower: AI’s Battle for Anonymity

Traditional masks are failing. Explore how AI unmasks whistleblowers through shadows and syntax—and the new tech fighting back.

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#832: How AI Rebuilt the Curb Cut

From Whisper to smart prosthetics, discover how AI is transforming accessibility and granting independence to millions.

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#749: The Live vs. Scripted Trade-Off in AI Podcasting

Can AI podcasts move from polished scripts to raw, real-time conversation? Explore the technical and financial shift to live multimodal models.

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#732: Why Your Recorded Voice Sounds Wrong

Use AI to find your perfect EQ profile and build a pro vocal chain. Fix nasality, master de-essing, and sound your best on any device.

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